INDUSTRY
OVERVIEW
Data and analytics roles play a pivotal and indispensable role in the Banking, Financial Services, and Insurance industry, delivering invaluable insights that inform strategic decision-making, foster innovation, and enable businesses to maintain a competitive edge. According to our BFSI data recruitment experts, the long-term significance of data and analytics jobs in the BFSI sector is evident in their ability. Driving strategic initiatives, managing risks effectively, and enhancing customer experiences.
In the UK, US, and EU, data and analytics jobs in the BFSI sector are subject to unique nuances and differences. That's where our BFSI data recruitment experts come in. According to them, the UK's financial services sector places a strong emphasis on regulatory compliance, risk management, and data privacy due to the influential role of regulatory bodies such as the Financial Conduct Authority (FCA) and the Prudential Regulation Authority (PRA). Data and analytics professionals in the UK BFSI sector may be involved in managing complex regulatory requirements, including Anti-Money Laundering (AML) and Know Your Customer (KYC) regulations.
In the US, data and analytics jobs in the BFSI sector are influenced by various factors such as the size and diversity of the financial market, the regulatory landscape governed by organizations such as the Securities and Exchange Commission (SEC) and the Federal Reserve, and the focus on consumer protection. Data scientists and analysts in the US BFSI sector may work on areas such as risk modeling, fraud detection, and customer segmentation.
In the EU, data and analytics jobs in the BFSI sector are shaped by regulatory frameworks like the General Data Protection Regulation (GDPR) and the European Central Bank's (ECB) guidelines on risk management. The focal points are data privacy, risk assessment, and regulatory compliance. Data and analytics professionals in the EU BFSI sector may be involved in areas such as stress testing, credit risk assessment, and compliance reporting.
Across all regions, the significance of data and analytics jobs in the BFSI sector lies in their ability to drive data-driven decision-making, enhance risk management practices, optimize customer experiences, and foster innovation through advanced analytics techniques such as machine learning and artificial intelligence. Companies that invest in highly skilled data and analytics professionals are likely to gain a competitive advantage in the ever-evolving BFSI landscape. To take your first steps toward finding the perfect candidate, contact us today. Our BFSI data recruitment experts will be happy to speak with you!
CANDIDATE PROFILE
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- Technical skills: BFSI employers often seek candidates with proficiency in data analysis tools and programming languages such as Python, R, SQL, and data visualization tools like Tableau or Power BI. Familiarity with statistical techniques, data modeling, and machine learning algorithms is also highly valued.
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- Domain knowledge: Employers in the BFSI sector typically look for candidates who have a deep understanding of the industry, including financial products, services, regulations, and market trends. Knowledge of specific areas such as risk management, fraud detection, or compliance is often sought after.
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- Analytical mindset: Employers value candidates who have strong analytical skills, including the ability to analyze complex data sets, identify patterns, and derive meaningful insights. Problem-solving skills and attention to detail are also highly regarded.
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- Business acumen: BFSI employers often seek candidates who can translate data insights into actionable business recommendations. Understanding how data and analytics can drive business outcomes, improve customer experiences, and generate value is crucial.
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- Communication skills: Effective communication skills, both verbal and written, are highly valued in BFSI data and analytics roles. Candidates who can communicate complex data findings and insights in a clear and concise manner to non-technical stakeholders are often preferred.
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- Adaptability and continuous learning: Given the rapidly evolving landscape of data and analytics, BFSI employers look for candidates who are adaptable to change and willing to continuously learn and upgrade their skills. Keeping up with the latest trends, technologies, and industry developments is seen as a valuable trait.
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- Ethics and integrity: Data privacy and security are critical in the BFSI sector. Employers seek candidates who demonstrate high ethical standards, integrity, and compliance with regulatory requirements when handling sensitive data. To discover more about will make the perfect candidate for your business, contact us now. Our BFSI data recruitment experts would love to hear from you.
DATA SCIENCE OVERVIEW
Data science plays a critical role in the banking, financial services, and insurance sector by helping organizations make data-driven decisions, manage risks, and improve customer experience. With the vast amount of data generated by BFSI organizations, data science has become an essential tool to analyze and interpret this data to gain insights and drive growth.
In the BFSI sector, data science is used for a variety of purposes, including fraud detection, credit risk analysis, customer segmentation, and product development. Data scientists in the sector use statistical analysis, machine learning, and data modeling techniques to develop predictive models that help organizations make informed decisions.
One of the key benefits of data science in the BFSI sector is improved risk management. Data scientists can use historical data and predictive modeling techniques to identify potential risks and mitigate them before they become a problem. This helps organizations minimize losses and maintain financial stability.
Another benefit of data science in the BFSI sector is improved customer experience. By analyzing customer data, organizations can understand their preferences and behavior, and use this information to offer personalized products and services that meet their needs.
Data science is imperative in the BFSI sector. By helping organizations make informed decisions, manage risks, and improve customer experience. As the industry continues to generate vast amounts of data, the demand for data scientists in the BFSI sector is likely to continue to grow, making it a promising career path for those interested in data science and analytics. If you're still in need of the perfect candidate for your BFSI business, contact us today. Our BFSI data recruitment specialists are here to help!
BUSINESS INTELLIGENCE OVERVIEW
Business Intelligence (BI) jobs are in high demand in the Banking, Financial Services, and Insurance (BFSI) sector. BI professionals are responsible for gathering, analyzing, and visualizing large amounts of data to provide insights that help BFSI organizations make informed decisions.
The BFSI sector relies heavily on data to manage risks, improve customer experiences, and comply with regulations. As a result, BI professionals play a critical role in helping BFSI organizations stay competitive in today's fast-paced business environment.
BI jobs in the BFSI sector require a strong understanding of financial data, regulatory compliance, and business operations. The ideal candidate should have expertise in data modeling, analytics, and visualization tools. Additionally, they should possess strong communication and problem-solving skills to work effectively with cross-functional teams.
BI jobs in the BFSI sector are a key component of a successful and thriving organization. They play a critical role in helping BFSI organizations gain insights into their operations, improve customer experiences, and make data-driven decisions. If you need more information on recruiting for BI, contact us today. Speak to our BFSI data recruitment specialists, they are here to help!
DATA MANAGEMENTÂ
Data Management jobs in the Banking, Financial Services, and Insurance (BFSI) sector are like the unsung heroes behind the scenes, working tirelessly to keep the wheels of the industry turning smoothly. With the sheer magnitude of data that BFSI organizations deal with on a daily basis, managing this vast ocean of information is no small feat. It requires a unique blend of skills and expertise to navigate through the complexities and ensure that data is organized, stored, protected, and maintained with the utmost integrity.
In the fast-paced, data-driven world of BFSI, where decisions are made in the blink of an eye and risks lurk around every corner, Data Management professionals are the gatekeepers of reliable and accurate data. They are the ones who ensure that data flows seamlessly across the organization, providing the foundation upon which strategic decisions are made, risks are mitigated, and regulations are adhered to.
But what does it take to be a Data Management pro in the BFSI sector? It's not just about being tech-savvy and having a basic understanding of data. It goes much deeper than that. These professionals need to have an in-depth understanding of the nuances of financial data, regulatory compliance, and the intricacies of business operations. They need to be the maestros of data governance, data quality, and data integration, orchestrating a symphony of data that harmoniously supports the organization's goals and objectives.
However, it's not just about crunching numbers and analyzing data. Effective communication and problem-solving skills are equally important for Data Management professionals in the BFSI sector. They need to be able to effectively collaborate with cross-functional teams, navigating through the maze of stakeholders, departments, and systems to ensure that data is managed in a way that adds value to the organization. For more expert hiring advice, speak to our BFSI data recruitment consultants today!
RISK ANALYTICS
In the dynamic world of Banking, Financial Services, and Insurance (BFSI), Risk Analytics jobs are indispensable. These roles involve delving into vast amounts of data to uncover potential risks and opportunities, providing valuable insights that empower organizations to make informed decisions in the face of uncertainty.
BFSI organizations operate in a constantly evolving environment, where a multitude of risks lurk. This is where Risk Analytics professionals step in, playing a pivotal role in proactive risk management, loss mitigation, and profit maximization.
Deep expertise in financial data, statistical analysis, and business operations is a must for Risk Analytics jobs in the BFSI sector. The ideal candidate is well-versed in risk modeling, scenario analysis, and stress testing, and possesses exceptional communication and problem-solving skills to collaborate effectively with cross-functional teams.
Being part of the Risk Analytics team in the BFSI sector means being an integral part of organizational success. You will help identify potential risks and opportunities, guide decision-making, and keep organizations competitive in today's ever-changing business landscape. Expect the unexpected, analyze the complexities, and unlock insights that drive strategic outcomes. Don't navigate risk analytics recruitment alone. Contact our BFSI data recruitment experts today!
CUSTOMER ANALYTICS
Customer Analytics roles within the dynamic realm of the Banking, Financial Services, and Insurance (BFSI) sector are nothing short of paramount. These professionals are tasked with delving into the labyrinthine depths of customer data to unravel the enigmatic patterns of customer behavior, preferences, and needs. Armed with these invaluable insights, organizations can fashion bespoke products and services that cater to the idiosyncratic demands of their discerning clientele.
In the cutthroat landscape of the BFSI sector, where competition is rife and innovation is imperative, comprehending customer behavior and preferences takes center stage. Thus, Customer Analytics roles emerge as pivotal pillars, empowering organizations to gain a strategic edge, enhance customer satisfaction, and propel growth to unprecedented heights.
Flourishing in the realm of Customer Analytics within the BFSI sector calls for an astute grasp of customer data, proficiency in statistical analysis, and a profound understanding of business operations. The ideal candidate is a virtuoso in customer segmentation, adept in predictive modeling, and a maestro in data visualization. Furthermore, exceptional communication and problem-solving skills are essential to collaborate effectively with multifaceted, cross-functional teams.
Embarking on a career in Customer Analytics for the BFSI sector bestows upon you an indomitable sense of purpose as you become a linchpin of success for BFSI organizations. Your prowess in unearthing customer behavior, preferences, and needs will serve as the catalyst for crafting tailor-made products and services that cater to the distinctive requirements of your esteemed customers. To find out more, contact our BFSI data recruitment experts now!
JOBS
LATEST financial services
DATA JOBS
Senior Product Manager
Chicago
$120000 - $150000
+ Advanced Analytics & Marketing Insights
PermanentChicago, Illinois
To Apply for this Job Click Here
Senior Product Manager
Chicago, IL | Hybrid (3 Days/Week)
$120,000 – $150,000 Base + Bonus
Build products that directly shape the future of consumer lending.
We’re partnering with a rapidly growing fintech that’s transforming how consumers access credit through technology, data, and AI. Backed by an experienced leadership team, they’re looking for a Senior Product Manager who thrives in fast-moving environments and wants genuine ownership over products that impact millions of customer decisions.
This isn’t a role for someone who simply manages backlogs.
They’re looking for someone who identifies problems before anyone else, makes difficult prioritization decisions, and works side-by-side with engineering to ship products that move the business forward.
If you enjoy operating with autonomy, solving ambiguous problems, and owning products from idea through launch, this is the opportunity to do exactly that.
What You’ll Do
- Own the product strategy and roadmap for high-impact customer and internal products
- Work directly with engineering, design, analytics, operations, and executive leadership to turn ideas into shipped products
- Speak regularly with customers and internal users to uncover opportunities and validate product direction
- Make difficult prioritization decisions using data, customer insight, and commercial impact
- Launch, measure, iterate, and continuously improve product experiences based on real-world feedback
- Drive AI-enabled product innovation where it creates meaningful value for customers and the business
- Influence company strategy by balancing customer needs with commercial outcomes
What We’re Looking For
We’re much more interested in how you operate than where you’ve worked.
The strongest candidates will demonstrate:
- Experience owning products end-to-end, from discovery through launch and iteration
- Comfort making decisions with imperfect information and operating in ambiguous environments
- A track record of shipping products quickly and learning through iteration
- Strong commercial thinking with experience measuring business outcomes, customer adoption, or revenue impact
- Excellent product judgment and the confidence to say “no” when necessary
- Experience partnering closely with engineers to solve complex technical problems
- Curiosity, ownership, and a genuine passion for building products customers love
Bonus Points For
- Fintech, lending, payments, or financial services experience
- Experience building AI-powered or data-driven products
- Strong SQL or analytical skills
- Startup or high-growth company experience
- Experience taking products from 0→1
Why This Role?
You’ll join a product organization where PMs are trusted to make decisions, move quickly, and have a direct impact on company growth. You’ll work alongside experienced product and engineering leaders who value curiosity, speed, and thoughtful product thinking over unnecessary process.
If you’re looking for a role where you’ll genuinely own products-not just coordinate them-this is an opportunity to make a measurable impact while helping shape the next generation of consumer lending technology.
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Finance Director
$150000 - $190000
+ Advanced Analytics & Marketing Insights
PermanentUSA
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Director, Finance & Strategy
Remote | $160,000 – $190,000 Base + Bonus + Equity
A high-growth consumer business is seeking a Director, Finance & Strategy to partner directly with the CFO and own financial performance for a large recurring revenue portfolio.
This is a highly visible position at the intersection of finance, strategy, product, and technology. You’ll own forecasting, pricing, profitability, cash flow, and portfolio performance while helping modernize finance through AI, automation, and advanced analytics.
What You’ll Do
- Own forecasting, budgeting, financial modeling, executive reporting, and business performance analysis
- Partner with senior leaders on pricing strategy, product launches, customer growth initiatives, and profitability improvements
- Develop cohort analyses, retention models, customer lifetime value frameworks, and recurring revenue forecasting
- Build insights around portfolio performance, customer behavior, pricing effectiveness, and business risk
- Identify opportunities to automate reporting, streamline workflows, and improve decision-making through AI and analytics
- Serve as a trusted advisor to executive leadership, turning complex data into actionable business recommendations
What We’re Looking For
- 5+ years of FP&A, strategic finance, or commercial finance experience
- Experience owning a P&L, business unit, or significant product portfolio
- Strong forecasting, financial modeling, pricing, and profitability analysis experience
- Background in insurance, warranty, subscription, recurring revenue, fintech, or related industries
- Strong analytical skills with experience in cohort analysis, retention modeling, and customer economics
- Hands-on experience with SQL and/or Python
- Passion for leveraging AI, automation, and modern tools to improve finance processes
- Independent operator with strong executive presence and business partnering skills
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Sr. Fullstack Engineer
New York
$175000 - $200000
+ Data Engineering
PermanentNew York
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Senior Frontend Engineer
Location: Hybrid (3 days/week onsite in New York City)
Pay: $175k – $200k Base Salary + 10% Annual Bonus + Equity
About the Opportunity
Join a rapidly growing technology organisation operating at global scale, serving hundreds of millions of consumers worldwide. This team is focused on building next-generation AI-powered products and developer tooling, leveraging massive amounts of real-time data to drive innovation. The engineering culture combines the resources of a large enterprise with the agility and autonomy of a fast-moving startup environment.
Responsibilities:
- Partner with engineering leadership and technical stakeholders to define and build new AI-driven products and features.
- Drive frontend development initiatives while contributing across the full stack when needed.
- Modernise and migrate legacy applications to scalable, maintainable architectures.
- Design and deploy AI-powered agents to support software development, code review, and automation workflows.
- Contribute to specification-driven development practices and engineering standards.
- Build highly scalable applications using modern TypeScript frameworks and server-side rendering technologies.
- Evaluate and integrate emerging AI technologies into software development processes.
- Collaborate across multiple engineering teams to deliver customer-focused solutions.
Must Have Qualifications:
- 8+ years of professional software engineering experience.
- Strong expertise with TypeScript and modern frontend development.
- Experience with server-side rendering frameworks such as NestJS, Remix, or similar technologies.
- Hands-on experience working with Kubernetes in production environments.
- Full-stack engineering background with the ability to work across multiple technologies.
- Bachelor’s degree in Computer Science or a related technical field.
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Lead AI Engineer
City of London
£100000 - £110000
+ Data Science & AI
PermanentCity of London, London
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Lead AI Engineer
London (Hybrid, 1 day per week) | Up to £110,000 + 15% Bonus
This is an exciting opportunity for a Lead AI Engineer to join a business making significant investment in AI and automation. You will play a pivotal role in shaping AI strategy, leading the delivery of production-grade GenAI solutions, and driving innovation across multiple high-impact business areas. With strong executive backing and a growing pipeline of AI initiatives, this role offers genuine influence and ownership from day one.
The Company
They are a well-established, technology-driven organisation operating at scale within a highly regulated environment. As part of a wider digital transformation programme, they are investing heavily in AI, automation, and advanced data capabilities to improve customer experiences and operational efficiency.
Their AI function is expanding rapidly, with multiple GenAI and machine learning initiatives moving from concept into production. You will join a collaborative team where technical expertise is valued, decisions are made pragmatically, and innovation is closely aligned to measurable business outcomes.
The Role
As a Lead AI Engineer, you will be responsible for leading the design, development, and deployment of AI solutions that deliver real business value.
Responsibilities include:
- Owning end-to-end delivery of AI and GenAI solutions from discovery through to production.
- Leading architecture decisions and providing technical direction across multiple AI initiatives.
- Building scalable, secure, and reliable AI applications within an enterprise environment.
- Driving build versus buy evaluations and recommending appropriate technologies.
- Delivering solutions including retrieval-augmented generation (RAG), agentic AI, automation, and intelligent decision-support tools.
- Working closely with engineering, security, governance, and business stakeholders.
- Navigating complex and ambiguous problem spaces to identify practical AI opportunities.
- Providing technical leadership, guidance, and mentoring within the AI engineering function.
- Contributing to the wider AI strategy and future direction of the capability.
Your Skills & Experience
- Strong commercial experience delivering GenAI solutions into production environments.
- Proven ability to lead AI projects from concept through deployment and operational management.
- Excellent software engineering fundamentals and experience building scalable applications.
- Experience making architecture and technology decisions within enterprise organisations.
- Strong knowledge of modern AI engineering practices, including LLMs, RAG, agentic workflows, and MLOps concepts.
- Experience working with cloud platforms, ideally AWS.
- Ability to balance innovation with risk, governance, and operational requirements.
- Strong stakeholder management and communication skills.
- Experience within financial services or other regulated environments would be beneficial.
- Demonstrable experience operating at Lead Engineer, Technical Lead, or equivalent level.
What They Offer
- Hybrid working model with flexibility and a strong focus on outcomes.
- Opportunity to influence AI strategy within a growing and highly visible function.
- Exposure to a broad portfolio of AI transformation initiatives.
- Career progression within an expanding AI and engineering capability.
- Autonomy, ownership, and the opportunity to deliver meaningful business impact at scale.
How to Apply
If you are a Lead AI Engineer with proven experience delivering production-ready GenAI solutions and want to play a key role in shaping the future of AI within a large-scale organisation, please apply today.
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Principal AI Engineer
New York
$230000 - $250000
+ Data Science & AI
PermanentNew York
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Principal AI Engineer
Brooklyn, NY (Hybrid) – 3 Days Onsite
$230,000 – $250,000 Base + Bonus + RSUs (~$350K Total Comp)
THE COMPANY
Harnham is partnering with a global leader in professional software solutions across legal, tax, accounting, and audit. Their products power professionals responsible for some of the world’s most critical business decisions.
This opportunity sits within the Cloud Audit organization, a connected platform for B2B usages. As the organization continues its transformation into an AI-native engineering environment, the team is investing heavily in AI-powered experiences, platform integrations, and intelligent workflow automation.
This role will play a critical part in defining the architecture and AI strategy that connects Cloud Audit Suite with AI-powered audit solutions and other intelligent products, helping shape the future of audit technology at enterprise scale.
RESPONSIBILITIES
- Own architecture and technical design across the Cloud Audit platform.
- Define and drive AI integration strategies across audit and assurance products.
- Lead integration efforts between multiple B2B shared platform services.
- Design scalable AI orchestration frameworks supporting agents, LLM workflows, tool calling, and multi-step reasoning systems.
- Establish standards and best practices for AI-native application development, experimentation, and platform architecture.
- Partner closely with Product, AI Labs, UX, Infrastructure, and Engineering leadership to execute strategic initiatives.
- Architect high-throughput distributed systems handling millions of documents and large-scale audit workloads.
- Drive platform reliability, observability, resiliency, and performance optimization initiatives.
- Design reusable APIs, shared services, and platform components to support multiple products and engineering teams.
- Mentor senior and staff engineers while fostering an AI-forward engineering culture.
- Help define and execute the long-term technical roadmap for Cloud Audit Suite.
SKILLS AND EXPERIENCE
- BS degree in Computer Science, Computer Engineering, or a related technical discipline.
- 8-10+ years of experience in software engineering, architecture, or platform engineering roles.
- Deep expertise with C#, .NET, and ASP.NET Core.
- Strong Python experience supporting AI, machine learning, or intelligent application workflows.
- Experience designing and operating large-scale distributed systems and microservices architectures.
- Strong full-stack development background utilizing technologies such as React, Angular, TypeScript, JavaScript, HTML, and CSS.
- Experience designing and integrating scalable APIs and enterprise platform services.
- Hands-on experience with AWS cloud infrastructure.
- Strong experience with SQL Server, PostgreSQL, or similar database technologies.
- Experience architecting and operating production AI systems utilizing LLMs, agents, retrieval systems, and AI-native application patterns.
- Proven track record of owning enterprise-scale systems from architectural design through long-term production operation.
- Excellent communication and stakeholder management skills.
- Experience leading technical initiatives across multiple products and engineering organizations.
PREFERRED EXPERIENCE
- Experience integrating OpenAI, Anthropic, or other production-grade LLM providers.
- Knowledge of agent architectures, MCP servers, AI orchestration frameworks, and AI platform design.
- Experience with vector databases, embeddings, semantic search, and retrieval architectures.
- Familiarity with actor-model frameworks such as Orleans or Akka.
- Experience designing scalable CI/CD pipelines using GitHub Actions or similar technologies.
- Experience supporting applications in highly regulated industries such as audit, tax, finance, legal, or compliance.
- Knowledge of AI reliability, evaluation, testing, governance, and safety frameworks.
- Experience designing systems that account for non-deterministic AI behavior.
- Customer-facing technical leadership experience.
BENEFITS
The compensation package includes a competitive base salary, annual bonus, equity package with a three-year vesting schedule, and a comprehensive benefits package.
HOW TO APPLY
Please submit your CV via the Apply link on this page to register your interest.
KEY TERMS
Artificial Intelligence | AI Platform Engineering | Cloud Audit | Machine Learning | LLMs | AI Agents | Agentic AI | C# | .NET | ASP.NET Core | Python | AWS | PostgreSQL | Distributed Systems | Microservices | Enterprise Architecture | API Design | Platform Engineering | AI Orchestration | MCP | Semantic Search | Vector Databases | Audit Technology | SaaS | Technical Leadership | Principal Engineer
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Head of Data
£130000 - £140000
+ Advanced Analytics & Marketing Insights
PermanentBerkshire
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HEAD OF DATA
BERKSHIRE/HYBRID
UP TO £140,000
This is a rare opportunity to step into a senior leadership role where you will shape and scale a data function from strong foundations. With direct exposure to executive leadership and the ability to influence organisation-wide decision making, this role offers significant scope to define strategy, build capability, and drive measurable commercial impact through data.
ROLES AND RESPONSIBILITIES:
The Head of Data will:
- Define and deliver the enterprise Data strategy aligned to commercial objectives and growth ambitions
- Act as a key advisor to senior stakeholders, influencing how data is leveraged as a competitive advantage
- Build, lead, and develop a multi-disciplinary team across analytics, data science, and business intelligence
- Drive the evolution from reporting towards predictive and commercially focused insight
- Establish and scale self-service analytics capabilities across the business
- Lead the application of advanced analytics, machine learning, and AI to key business areas such as pricing and performance optimisation
- Partner closely with technology teams to ensure scalable, reliable data platforms and strong data architecture
- Own and embed data governance frameworks, improving data quality, consistency, and trust across the organisation
- Translate complex analytical outputs into clear, actionable recommendations for senior stakeholders
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
- Strong experience leading data, analytics, or data science functions in a commercial environment
- Proven ability to build and scale high-performing, multidisciplinary teams
- Expertise across data analytics, machine learning, and business intelligence, with a strong technical foundation including SQL and cloud platforms
- Experience delivering data-driven transformation, including self-service analytics and advanced insight capabilities
- Strong commercial acumen, with the ability to translate data strategy into measurable business outcomes
- Confident stakeholder management skills, with experience influencing senior leadership and cross-functional teams
- Experience working within data governance frameworks and regulated environments is advantageous
- Comfortable balancing strategic leadership with hands-on involvement where required
APPLY BELOW!
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Data Architect
Dallas
$150000 - $175000
+ Data Engineering
PermanentDallas, Texas
To Apply for this Job Click Here
Principal Data Architect
Location: Dallas, TX (Hybrid – 4 Days Onsite Weekly)
Compensation: $170,000 Base Salary (flexibility for exceptional candidates) + Comprehensive Benefits
Work Authorization: Candidates must be authorized to work in the U.S. now and in the future. No sponsorship or visa transfers available.
About the Opportunity
Our client, a large enterprise organization undergoing a major data modernization and AI transformation, is seeking a Principal Data Architect to help shape the future of its enterprise data ecosystem.
This is a high-impact, highly visible role offering direct exposure to executive leadership and the opportunity to influence enterprise-wide technology strategy. The successful candidate will be responsible for defining architectural roadmaps, modernizing legacy platforms, enabling AI capabilities, and guiding the organization’s journey from current-state to future-state architecture.
This opportunity is ideal for someone who combines strong architectural leadership with a hands-on data engineering background and thrives in a transformation-focused environment.
Key Responsibilities
- Assess and document current-state data architecture, platforms, and integrations
- Design future-state enterprise data architecture and transformation roadmaps
- Develop architectural standards and reusable patterns for:
- Real-time data processing
- Streaming architectures
- Batch data processing
- Enterprise and consumer data platforms
- Create and maintain architecture diagrams, data flows, and implementation plans
- Partner with business and technology leaders to align architecture decisions with strategic objectives
- Support enterprise initiatives across fraud, risk, analytics, AI, and other critical business functions
- Define phased implementation strategies, including resource planning and execution sequencing
- Evaluate emerging technologies and recommend solutions based on business use cases
- Provide technical leadership and architectural guidance to engineering teams
- Participate in architecture reviews, proof of concepts, and technical solution validation
Required Qualifications
- 10+ years of experience in Data Engineering, Software Engineering, Data Architecture, or related disciplines
- Experience designing and implementing enterprise-scale data platforms and architectures
- Strong background creating technology roadmaps and leading transformation initiatives
- Ability to connect technical decisions to measurable business outcomes
- Experience operating within large, complex organizations (1,000+ employees preferred)
- Proven ability to work independently and drive initiatives with minimal oversight
Technical Requirements
Required Experience
- AWS Cloud
- Kafka (Confluent or Open-Source Kafka)
- Event-driven and streaming architectures
- Real-time data processing
- Batch processing frameworks
- Enterprise integration patterns
- Data architecture and platform modernization
Preferred Experience
- Snowflake
- Fivetran
- dbt
- AI/GenAI architecture and implementation
AI & Innovation Focus
As part of the organization’s technology strategy, AI will play a significant role in future-state architecture.
The ideal candidate will have exposure to:
- Retrieval-Augmented Generation (RAG)
- Large Language Model (LLM) concepts
- AI platform architecture
- Token management and optimization strategies
- AI tooling evaluation and implementation
- Use-case driven AI adoption
We’re looking for someone who is naturally curious, stays current on emerging technologies, and can articulate how modern AI capabilities create business value.
Preferred Industry Experience
Experience within one or more of the following industries is highly desirable:
- Financial Services
- Banking
- Healthcare
- Travel
- Hospitality
Why This Role?
- Direct visibility with senior and executive leadership
- Opportunity to influence enterprise technology strategy
- Lead large-scale modernization and transformation initiatives
- Help shape the organization’s AI roadmap
- Work with modern cloud, streaming, and data technologies
- Drive meaningful business outcomes and measurable change
This is an opportunity to build something transformational-not simply maintain existing systems.
Interview Process
- Initial Interview (45 minutes)
- Onsite Team Panel Interview
- Final Executive Interview
If you’re interested in learning more about this confidential opportunity, please apply directly or contact me for a private discussion.
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Senior Data Engineer
Dallas
$140000 - $160000
+ Data Engineering
PermanentDallas, Texas
To Apply for this Job Click Here
Data Engineer – Fivetran Expert
Location: Dallas, TX (Onsite 4 days/week)
Compensation: Up to $160,000 Base Salary + Bonus
Work Authorization: Must be authorized to work in the U.S. without sponsorship now or in the future.
Overview
We are seeking a highly skilled Data Engineer with deep expertise in Fivetran to join our growing data and analytics team. This individual will play a key role in designing, implementing, and optimizing scalable data integration solutions that power business intelligence, analytics, and data-driven decision-making across the organization.
The ideal candidate will have extensive experience leveraging Fivetran to build and manage automated ELT pipelines, integrate data from multiple source systems, and support enterprise-scale cloud data platforms. Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments is highly preferred but not required.
Responsibilities
- Design, develop, and maintain scalable data integration pipelines using Fivetran and modern cloud-based data technologies.
- Configure, manage, and optimize Fivetran connectors for a wide variety of source systems, including SaaS platforms, databases, APIs, and enterprise applications.
- Monitor pipeline health, troubleshoot synchronization issues, and ensure reliable data delivery across the organization.
- Partner with business stakeholders, analytics teams, and data consumers to understand and deliver data requirements.
- Develop and maintain enterprise data warehouse solutions within Snowflake and other cloud data platforms.
- Implement data quality, governance, and monitoring frameworks to ensure data accuracy, consistency, and reliability.
- Optimize data ingestion performance, pipeline efficiency, and overall platform cost management.
- Create and maintain technical documentation for data integrations, architecture, workflows, and best practices.
- Collaborate with Data Analysts, BI Developers, and Data Scientists to support reporting, analytics, and machine learning initiatives.
- Troubleshoot and resolve data issues, connector failures, schema changes, and performance bottlenecks.
- Participate in architecture discussions and contribute to the organization’s overall data strategy and modernization efforts.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field (or equivalent experience).
- 5+ years of experience in Data Engineering, Data Integration, Data Warehousing, or related roles.
- Expert-level experience with Fivetran, including connector configuration, deployment, monitoring, optimization, and troubleshooting.
- Strong experience with Snowflake or similar cloud data warehouse platforms.
- Advanced SQL development and query optimization skills.
- Hands-on experience designing and managing scalable ELT pipelines and modern data architectures.
- Experience integrating data from multiple source systems, including SaaS applications, relational databases, APIs, and cloud platforms.
- Strong understanding of data modeling principles, data warehousing concepts, and analytics-ready data structures.
- Experience implementing data validation, monitoring, and governance frameworks.
- Excellent problem-solving, communication, and collaboration skills.
Preferred Qualifications
- Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with transformation frameworks such as dbt.
- Experience with orchestration and workflow tools such as Airflow, Prefect, or Dagster.
- Experience supporting BI and analytics platforms such as Tableau, Power BI, or Looker.
- Knowledge of CI/CD pipelines, DataOps practices, and modern data stack architectures.
- Experience working in Agile development environments.
Key Skills
- Fivetran
- Data Integration & Automation
- ELT Pipeline Development
- Snowflake
- SQL
- Cloud Data Warehousing
- Data Modeling
- SaaS & API Integrations
- AWS, Azure, and GCP
- Data Quality & Governance
- Performance Optimization
- Business Intelligence & Analytics
Additional Information
- Location: Dallas, TX
- Schedule: Onsite 4 days per week
- Salary: Up to $160,000 base salary
- Bonus: Eligible for annual performance bonus
- Sponsorship: Not available. Candidates must be authorized to work in the United States without current or future sponsorship requirements.
Ideal Candidate
A hands-on Data Engineer with deep Fivetran expertise who thrives in a collaborative environment and enjoys building scalable, reliable, and automated data integration solutions. This professional excels at connecting disparate data sources, ensuring high-quality data delivery, and enabling analytics teams with trusted data. Experience supporting Snowflake environments and modern data stack technologies is highly desirable, while financial services experience is a strong plus.
To Apply for this Job Click Here
Data Engineer
Dallas
$140000 - $160000
+ Data Engineering
PermanentDallas, Texas
To Apply for this Job Click Here
Data Engineer – dbt & Snowflake Expert
Location: Dallas, TX (Onsite 4 days/week)
Compensation: Up to $160,000 Base Salary + Bonus
Work Authorization: Must be authorized to work in the U.S. without sponsorship now or in the future.
Overview
We are seeking a highly skilled Data Engineer with deep expertise in dbt (Data Build Tool) and Snowflake to join our growing data and analytics team. This individual will play a key role in designing, building, and optimizing scalable data pipelines and cloud-based data solutions that enable business intelligence, analytics, and data-driven decision-making across the organization.
Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments is highly preferred but not required.
Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes using modern cloud-based technologies.
- Build, optimize, and manage data models in dbt, following best practices for testing, documentation, and maintainability.
- Develop and maintain enterprise data warehouse solutions within Snowflake.
- Partner with business stakeholders, analytics teams, and data consumers to understand and deliver data requirements.
- Optimize Snowflake performance, scalability, and cost efficiency.
- Implement data quality, governance, and monitoring frameworks to ensure accuracy and reliability.
- Create and maintain technical documentation for data architecture, models, and workflows.
- Collaborate with Data Analysts, BI Developers, and Data Scientists to support reporting and advanced analytics initiatives.
- Troubleshoot and resolve data issues, pipeline failures, and performance bottlenecks.
- Participate in architecture discussions and contribute to the overall data strategy.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field (or equivalent experience).
- 5+ years of experience in Data Engineering, Data Warehousing, or related roles.
- Expert-level experience with dbt and Snowflake.
- Strong SQL development and query optimization skills.
- Experience designing and building scalable ETL/ELT pipelines.
- Hands-on experience with cloud-based data platforms and modern data stack technologies.
- Strong understanding of data modeling principles, including dimensional and star schema design.
- Experience implementing data validation, testing, and monitoring frameworks.
- Excellent problem-solving, communication, and collaboration skills.
Preferred Qualifications
- Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with orchestration tools such as Airflow, Prefect, or Dagster.
- Experience supporting BI and analytics platforms such as Tableau, Power BI, or Looker.
- Knowledge of CI/CD pipelines and DataOps best practices.
- Experience working in Agile development environments.
Key Skills
- Snowflake
- dbt (Data Build Tool)
- SQL
- Data Warehousing
- ETL/ELT Development
- Data Modeling
- Cloud Platforms (AWS, Azure, GCP)
- Data Governance & Quality
- Performance Optimization
- Business Intelligence & Analytics
Additional Information
- Location: Dallas, TX
- Schedule: Onsite 4 days per week
- Salary: Up to $160,000 base salary
- Bonus: Eligible for annual performance bonus
- Sponsorship: Not available. Candidates must be authorized to work in the United States without current or future sponsorship requirements.
Ideal Candidate: A hands-on Data Engineer with deep dbt and Snowflake expertise who thrives in a collaborative environment and enjoys building scalable, high-quality data solutions that drive business value. Financial services experience is a strong plus but not required.
To Apply for this Job Click Here
Senior Data Scientist
London
£60000 - £70000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
London – 2x a week
The Role
As a Senior Data Scientist, you will:
- Develop and enhance credit risk and decisioning models using customer, credit bureau, transactional, and internal datasets.
- Analyse portfolio performance across originations, arrears, defaults, recoveries, and customer behaviour.
- Identify opportunities to improve underwriting strategies and customer decisioning.
- Produce actionable insights from large, complex, and sometimes incomplete datasets.
- Build monitoring frameworks and reporting to track model and portfolio performance.
- Support the deployment and optimisation of analytical solutions within production environments.
- Investigate data quality issues and drive improvements across reporting and decisioning processes.
- Work closely with risk, product, engineering, and commercial stakeholders to deliver data-driven solutions.
- Contribute to model governance, validation, and documentation activities.
Skills & Experience
- Strong Python experience across analytics, modelling, and data processing.
- Hands-on experience working within AWS environments, including services such as Lambda, EC2, SageMaker, RDS, and CloudWatch.
- Proven track record developing and validating predictive models, including logistic regression and machine learning techniques.
- Strong understanding of consumer credit risk, affordability assessment, and lending decisioning.
- Excellent analytical and problem-solving skills with a rigorous attention to detail.
- Experience translating complex analysis into clear recommendations for business stakeholders.
- A proactive, ownership-driven mindset and ability to thrive in a fast-paced environment.
What They Offer
- Competitive salary
- Be part of a fast-growing, data-led business.
- Work on high-impact projects with direct business visibility.
- Influence lending decisions and strategic direction.
- Collaborate with experienced professionals across risk, product, and technology.
- Enjoy significant autonomy and ownership in a highly collaborative environment.
How to Apply
Please get in touch to learn more about this role.
To Apply for this Job Click Here
Senior Analytics Engineer
Richardson
$140000 - $165000
+ Data Engineering
PermanentRichardson, Texas
To Apply for this Job Click Here
Data Engineer (dbt & Snowflake Expert)
Location: Dallas, TX (Onsite 4 days/week)
Compensation: Up to $160,000 Base Salary + Bonus
Work Authorization: Must be authorized to work in the U.S. without sponsorship now or in the future.
Overview
We are seeking a highly skilled Data Engineer with deep expertise in dbt (Data Build Tool) and Snowflake to join our growing data and analytics team. This individual will play a key role in designing, building, and optimizing scalable data pipelines and cloud-based data solutions that enable business intelligence, analytics, and data-driven decision-making across the organization.
Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments is highly preferred but not required.
Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes using modern cloud-based technologies.
- Build, optimize, and manage data models in dbt, following best practices for testing, documentation, and maintainability.
- Develop and maintain enterprise data warehouse solutions within Snowflake.
- Partner with business stakeholders, analytics teams, and data consumers to understand and deliver data requirements.
- Optimize Snowflake performance, scalability, and cost efficiency.
- Implement data quality, governance, and monitoring frameworks to ensure accuracy and reliability.
- Create and maintain technical documentation for data architecture, models, and workflows.
- Collaborate with Data Analysts, BI Developers, and Data Scientists to support reporting and advanced analytics initiatives.
- Troubleshoot and resolve data issues, pipeline failures, and performance bottlenecks.
- Participate in architecture discussions and contribute to the overall data strategy.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field (or equivalent experience).
- 5+ years of experience in Data Engineering, Data Warehousing, or related roles.
- Expert-level experience with dbt and Snowflake.
- Strong SQL development and query optimization skills.
- Experience designing and building scalable ETL/ELT pipelines.
- Hands-on experience with cloud-based data platforms and modern data stack technologies.
- Strong understanding of data modeling principles, including dimensional and star schema design.
- Experience implementing data validation, testing, and monitoring frameworks.
- Excellent problem-solving, communication, and collaboration skills.
Preferred Qualifications
- Experience within Financial Services, Banking, Capital Markets, Insurance, or FinTech environments.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with orchestration tools such as Airflow, Prefect, or Dagster.
- Experience supporting BI and analytics platforms such as Tableau, Power BI, or Looker.
- Knowledge of CI/CD pipelines and DataOps best practices.
- Experience working in Agile development environments.
Key Skills
- Snowflake
- dbt (Data Build Tool)
- SQL
- Data Warehousing
- ETL/ELT Development
- Data Modeling
- Cloud Platforms (AWS, Azure, GCP)
- Data Governance & Quality
- Performance Optimization
- Business Intelligence & Analytics
Additional Information
- Location: Dallas, TX
- Schedule: Onsite 4 days per week
- Salary: Up to $160,000 base salary
- Bonus: Eligible for annual performance bonus
- Sponsorship: Not available. Candidates must be authorized to work in the United States without current or future sponsorship requirements.
Ideal Candidate: A hands-on Data Engineer with deep dbt and Snowflake expertise who thrives in a collaborative environment and enjoys building scalable, high-quality data solutions that drive business value. Financial services experience is a strong plus but not required.
To Apply for this Job Click Here
Senior Software Engineer (AI Augmented)
New York
$160000 - $170000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
You’ll use AI tools as force multipliers while maintaining high standards for correctness, maintainability, performance, and testing.
What You’ll Do
- Own technical quality across design reviews, code reviews, testing, and production readiness
- Collaborate with product, design, and engineering to shape solutions and tradeoffs
- Architect frontend-first, full-stack systems that are modular, scalable, and resilient
- Improve performance, reliability, and maintainability across the stack
- Champion functional programming and immutability for simpler, more predictable systems
- Leverage AI-assisted development (prototyping → refinement → production hardening)
- Build and enforce robust testing strategies (unit, integration, UI, end-to-end)
What You Bring
- 6+ years building production web applications
- Expert in TypeScript + React, with strong experience in Next.js (SSR) or similar frameworks
- Strong full-stack fundamentals and experience designing scalable systems
- Ability to clearly communicate technical tradeoffs to both technical and non-technical stakeholders
- Track record of building simple, reusable, and adaptable systems
- Deep understanding of testing strategies and CI-driven development
- Proven mentorship and leadership through code reviews and technical guidance
AI/LLM-Assisted Engineering
- Hands-on experience with AI-powered dev tools (e.g., Cursor or similar)
- Strong judgment on when to rely on AI-and when not to
- Ability to explore multiple approaches quickly and converge on high-quality, production-ready solutions (not “AI-generated” code)
To Apply for this Job Click Here
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