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
AI Product Manager
San Francisco
$200000 - $220000
+ Advanced Analytics & Marketing Insights
PermanentSan Francisco, California
To Apply for this Job Click Here
AI Product Manager
San Francisco Bay Area (Hybrid, 2-3 days onsite) | Up to $220,000 Base + Bonus
This is an opportunity to join a business that is already delivering AI in production, not just discussing its future potential. You’ll take ownership of AI-driven transformation initiatives from discovery through to adoption, helping redesign critical business processes and seeing tangible commercial impact from your work.
The Company
This growing fintech organisation is transforming the way businesses access financial products through AI-powered decision-making. With a strong data foundation and significant investment in AI, they have already deployed production-grade AI solutions across core workflows and are now expanding their AI-first approach across multiple business functions.
Working within a dedicated AI product team, you’ll partner closely with domain experts, data scientists, and engineering partners to identify opportunities for meaningful process transformation. The environment is fast-paced, highly collaborative, and focused on delivering measurable business outcomes.
The Role
As an AI Product Manager, you will:
- Lead discovery sessions with subject matter experts to understand existing workflows, pain points, edge cases, and operational metrics.
- Redesign business processes from the ground up using modern AI tools and capabilities.
- Create detailed product requirements, design briefs, and specifications for engineering partners.
- Manage third-party engineering teams throughout the build process, ensuring delivery aligns with product vision and requirements.
- Define evaluation frameworks, quality control processes, and acceptance criteria for AI solutions.
- Partner with data scientists to develop evaluation rubrics, testing frameworks, and performance benchmarks.
- Oversee pilot programmes, shadow runs, and go-live activities.
- Drive stakeholder engagement and end-user adoption across the organisation.
- Track business impact and continuously refine solutions based on performance data.
Your Skills & Experience
You will have:
- Strong commercial experience in product management, product strategy, product operations, or a closely related discipline.
- Experience delivering AI-enabled products or business process transformation initiatives.
- A proven ability to take ambiguous problems and structure them into clear solutions and deliverables.
- Experience conducting discovery with stakeholders and translating findings into actionable product requirements.
- Confidence authoring design briefs, requirements documents, specifications, or process maps that development teams can build from.
- Working knowledge of AI products, LLMs, AI agents, evaluation frameworks, and quality assurance concepts.
- Excellent stakeholder management skills, with the ability to build trust across technical and non-technical audiences.
- Experience working with external technology vendors or engineering partners is advantageous.
- Experience within fintech, payments, lending, or other high-growth technology environments is beneficial but not essential.
What They Offer
- Exposure to large-scale AI transformation projects with direct business impact.
- Close collaboration with experienced AI leaders, data scientists, and product specialists.
- Clear progression opportunities as the AI function continues to expand.
- The chance to develop deep expertise in AI product management within a commercially successful organisation.
How to Apply
To learn more about this AI Product Manager opportunity, please apply with your CV and we’ll be in touch to discuss the role in further detail.
To Apply for this Job Click Here
Senior Data Architect
Los Angeles
$220000 - $260000
+ Data Engineering
PermanentLos Angeles, California
To Apply for this Job Click Here
Senior Data Architect
Los Angeles, CA
$220-260k base + bonus
We’re partnering with a large investment organization that is continuing to build out its enterprise data capabilities and is looking for a Senior Data Architect to help shape the next generation of its data platform.
This is a senior individual contributor role focused on enterprise data architecture, Databricks, data modeling, governance, and security. You’ll work closely with business and technical teams to design scalable data structures and standards that support analytics, operations, reporting, and AI use cases.
What You’ll Be Doing
- Design conceptual, logical, and physical data models across enterprise data platforms
- Build dimensional models using Kimball, 3NF, Data Vault, and related approaches
- Help define Databricks Lakehouse architecture, including medallion patterns and Delta Lake design
- Establish Unity Catalog standards for governance, lineage, access control, and data organization
- Partner with Data Engineering teams on pipelines, schema design, transformation logic, and performance
- Build data architecture standards, naming conventions, metadata frameworks, and data quality controls
- Work closely with business teams across Finance, Accounting, Investor Relations, and Investments to translate requirements into technical solutions
- Support security and privacy controls across sensitive enterprise data
- Help define how Databricks, Snowflake, MongoDB, and other platforms should be used across different workloads
- Support downstream ML, GenAI, and RAG use cases through well designed data foundations
What We’re Looking For
- Strong enterprise Data Architecture or Data Modeling experience
- Deep hands on experience with Databricks and Delta Lake
- Strong knowledge of dimensional modeling, Kimball, star schema, 3NF, and Data Vault
- Experience designing medallion architecture in Databricks
- Strong Unity Catalog experience across governance, lineage, and access controls
- Strong SQL skills and familiarity with enterprise data modeling tools
- Experience with Azure data platforms
- Strong understanding of data governance, security, privacy, metadata, and data quality
- Ability to work directly with senior business stakeholders and translate complex requirements into scalable architecture
- Comfortable operating independently in environments where standards and frameworks are still being built
Nice to Have
- Experience within financial services, private equity, asset management, or alternative investments
- Knowledge of investment data including funds, investors, NAV, capital calls, and distributions
- Experience building architecture standards from scratch
- Exposure to Snowflake, MongoDB, Kafka, CDC, and Azure Event Hubs
- Experience supporting AI, ML, or GenAI workloads
- Databricks, Azure, or TOGAF certifications
To Apply for this Job Click Here
AI Product Manager
San Francisco
$200000 - $250000
+ Advanced Analytics & Marketing Insights
PermanentSan Francisco, California
To Apply for this Job Click Here
AI Product Manager
San Francisco
$200-250k base + bonus (No equity)
We’re partnering with a fast-growing financial services business that is using AI to fundamentally rethink how core business processes operate.
The company already has production AI agents live across credit and underwriting workflows and is now expanding that approach across Sales, Customer Lifecycle, Finance, and Capital Markets.
This is not a traditional product management role focused on feature backlogs and incremental improvements. The remit is to work directly with business teams, understand how processes operate today, and redesign them from the ground up using AI.
The Opportunity
You’ll work directly on a core AI initiative, owning projects from discovery through launch.
You’ll partner with business teams to understand their processes, identify where AI can help, and turn those needs into clear product requirements.
You’ll then work closely with engineering teams to bring those solutions into production.
It’s a high ownership role with strong exposure to senior stakeholders and a great opportunity to build deeper AI product experience.
What You’ll Be Doing
- Lead discovery sessions with business teams to understand existing workflows, pain points, exceptions, and opportunities for AI
- Translate complex business problems into clear AI product designs and technical briefs
- Reimagine workflows from first principles rather than simply automating existing processes
- Define product requirements, acceptance criteria, quality controls, and evaluation frameworks
- Manage specialist engineering partners through the build and delivery process
- Partner with Data Science and Engineering teams to define evaluation metrics, golden datasets, and production readiness standards
- Coordinate testing, shadow runs, and go live activity for new AI products
- Work closely with end users to drive adoption and ensure products solve genuine operational problems
- Measure post launch impact against defined baselines and identify opportunities for continued iteration
What We’re Looking For
- 3 to 5 years of experience across Product Management, Product Analysis, or a similar product focused role
- Hands on exposure to AI enabled products, LLM applications, or AI agents
- Strong experience running discovery with business stakeholders and turning ambiguous problems into structured solutions
- Ability to create clear product artefacts including process maps, requirements, design briefs, and specifications
- Comfortable working with engineers and challenging technical solutions when they do not align with the product intent
- Strong written communication and structured problem solving skills
- Comfortable operating independently in ambiguous, fast moving environments
Ideally You’ll Also Have
- Experience within an AI native, fintech, lending, or high growth technology environment
- Exposure to AI agents, LLM powered products, or workflow automation
- Experience managing external engineering partners or vendors
- Strong instincts around when AI genuinely adds value versus when a simpler solution is more appropriate
- Experience taking AI products from discovery through production and adoption
To Apply for this Job Click Here
Principal Software Engineer, AI
Boston
$240000 - $260000
+ Data Science & AI
PermanentBoston, Massachusetts
To Apply for this Job Click Here
Principal Software Engineer, AI
Boston, MA – Fully Remote
$240,000-260,000 Base Salary
THE COMPANY
Our client is a high-growth AI and technology business focused on helping organizations unlock value through advanced analytics, automation, and artificial intelligence. Working at the intersection of AI, business transformation, and enterprise technology, the company develops proprietary platforms that enable organizations to better understand, optimize, and improve their operations.
Backed by leadership and talent from leading technology, analytics, and consulting firms, the organization is building innovative solutions that help businesses adopt AI with confidence, delivering measurable outcomes through data-driven transformation.
As the business continues its next phase of growth, it is seeking a Principal Software Engineer to play a key role in shaping both its technology platform and engineering culture.
RESPONSIBILITIES
- Lead the technical vision, architecture, and strategic direction of a sophisticated AI-powered enterprise platform.
- Mentor and develop a multidisciplinary engineering team through code reviews, design reviews, and hands-on collaboration.
- Design and experiment with cutting-edge large language model (LLM) solutions and AI capabilities for production use cases.
- Architect and build scalable services using Python and modern AI orchestration frameworks.
- Partner closely with engineering, data, and leadership teams to design and optimize cloud-based data platforms and services.
- Build and maintain cloud infrastructure, CI/CD pipelines, security controls, and deployment processes.
- Translate complex business requirements into scalable technical solutions.
- Drive engineering excellence through testing, documentation, observability, monitoring, and best-practice development standards.
- Evaluate emerging AI technologies and identify opportunities to incorporate them into the platform roadmap.
SKILLS AND EXPERIENCE
Required
- 8+ years of professional software engineering experience, including experience operating at Technical Lead, Staff Engineer, or Principal Engineer level.
- Strong Python development experience, including production-grade applications, analytics platforms, and data pipelines.
- Hands-on experience with cloud platforms such as GCP, AWS, or Azure, including data services, infrastructure, and security management.
- Strong SQL and data modeling expertise for large-scale analytical workloads.
- Proven ability to lead projects and make architectural decisions in fast-paced, evolving environments.
- Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
- Experience building and deploying production LLM applications using modern orchestration frameworks and multiple model providers.
Preferred
- Experience with Docker, CI/CD pipelines, and Infrastructure-as-Code.
- Familiarity with AI observability, monitoring, and evaluation frameworks.
- Previous experience in consulting, private equity-backed organizations, or high-growth technology environments.
- Background working on AI, machine learning, analytics, or enterprise transformation initiatives.
BENEFITS
- Competitive base salary.
- Meaningful early-stage equity participation.
- Health, dental, and vision coverage.
- Retirement savings plan.
- Generous paid time off.
- Flexible hybrid or remote working options.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Principal Software Engineer | Staff Engineer | Technical Lead | Python | Generative AI | LLMs | LangChain | LangGraph | Cloud Engineering | GCP | AWS | Azure | BigQuery | PostgreSQL | Data Engineering | AI Applications | Machine Learning | Software Architecture | CI/CD | Docker | Infrastructure as Code | Remote | Hybrid | Enterprise Technology | Digital Transformation | Analytics Platform | AI Platform Engineering
To Apply for this Job Click Here
PHP Developer
Birmingham
£45000 - £50000
+ Data Engineering
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
PHP Developer
Birmingham (Hybrid, 2 days per week) | Up to £50,000
Looking to work on a major platform transformation using modern PHP technologies? This is an opportunity to join a growing development team building and enhancing business-critical internal applications within a collaborative engineering environment.
The Company
An established financial services business investing heavily in its technology estate. They are replacing third-party software with scalable in-house platforms and are growing their engineering capabilities across development, data and QA.
The Role
You will:
- Develop and enhance applications using PHP and Laravel
- Contribute to a greenfield internal platform
- Build and integrate APIs
- Work closely with SQL Developers and QA Engineers
- Write clean, secure and maintainable code
- Participate in testing, code reviews and releases
Your Skills & Experience
- Strong commercial PHP and Laravel experience
- JavaScript knowledge
- API integration experience
- Experience with relational databases
- Understanding of testing and software quality practices
- Strong debugging and problem-solving skills
Nice to have:
- Vue.js or Inertia.js
- CI/CD or DevOps exposure
- Docker experience
What They Offer
- Up to £55,000 salary
- Hybrid working, 2 days in Birmingham
- Greenfield development projects
- Modern technology stack
- Strong collaboration and learning opportunities
How to Apply
Apply now to find out more about this PHP Developer opportunity.
To Apply for this Job Click Here
Senior Marketing Data Scientist
Miami, FL
$120000 - $150000
+ Advanced Analytics & Marketing Insights
PermanentMiami, Florida
To Apply for this Job Click Here
Senior Marketing Data Scientist
Location: Miami, FL (Preferred) | Salt Lake City, UT | Plano, TX
Work Arrangement: Hybrid
Compensation: Competitive base + bonus, dependent on experience
The Opportunity
We’re partnering with a highly profitable, founder-led fintech company looking for a Senior Marketing Data Scientist to help scale its marketing analytics capabilities and drive smarter customer acquisition decisions.
This is an opportunity to go beyond traditional marketing reporting, connecting paid media performance to customer acquisition, funded deals, credit performance, and profitability. You’ll work with marketing and financial datasets, influence marketing investment decisions, and partner closely with leadership in a fast-growing, entrepreneurial environment.
What You’ll Do
- Analyze paid acquisition performance across channels, particularly Google Ads and Meta, to optimize marketing spend and ROI.
- Own full-funnel analytics, connecting campaign performance and lead generation to funded customers, acquisition quality, and downstream business outcomes.
- Develop and enhance marketing attribution, measurement frameworks, and customer acquisition models.
- Design and evaluate A/B tests and experiments to measure marketing effectiveness and identify growth opportunities.
- Leverage SQL, Python, and statistical techniques to uncover insights, build scalable reporting, and support commercial decision-making.
- Partner with marketing, credit, product, and analytics stakeholders to translate data into actionable recommendations.
What We’re Looking For
- 4-7+ years in Marketing Analytics, Marketing Data Science, Growth Analytics, or Performance Analytics.
- Strong SQL and hands-on Python experience.
- Deep understanding of paid media analytics, particularly Google Ads and Meta.
- Experience with customer acquisition funnels, conversion analysis, attribution, and experimentation.
- Strong analytical and statistical skills with the ability to communicate findings to business stakeholders.
- Bachelor’s degree in a quantitative discipline.
Nice to Have:
- Experience with Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), or incrementality testing.
- Background in fintech, lending, insurance, or subscription-based businesses.
- Exposure to customer profitability, credit analytics, GA4, or modern cloud data platforms.
Why Join?
- Join a profitable, founder-led fintech investing in its growing data and analytics function.
- Work across marketing, financial, and customer datasets rather than traditional siloed marketing analytics.
- Influence strategic growth decisions with direct exposure to senior leadership.
- Enjoy a collaborative, entrepreneurial culture with significant ownership and opportunities for impact.
To Apply for this Job Click Here
Senior Credit Risk Manager
London
£100000 - £110000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
SENIOR CREDIT RISK MANAGER
SALARY UP TO £110,000
HYBRID (3 DAYS PER WEEK IN-OFFICE)
LONDON
Harnham are working with an innovative UK FinTech lender undergoing an exciting phase of credit transformation and growth. This is a unique opportunity for experienced credit professionals to shape new lending capabilities and drive strategic innovation in a high-impact individual contributor role.
THE COMPANY
This innovative FinTech lender has established itself as a recognised player within the UK consumer lending market through a strong focus on technology and data-driven decision-making. Following a period of significant transformation, the business has invested heavily in strengthening its credit capabilities, refining its lending proposition and building sustainable growth foundations. Backed by institutional funding and an ambitious leadership team, the organisation is now focused on developing innovative lending strategies, new customer propositions and differentiated credit capabilities to drive its next phase of growth.
THE ROLE
This role sits at the heart of a major credit transformation programme, focusing on developing new lending opportunities rather than managing day-to-day credit operations. You will take ownership of strategic initiatives from concept through to implementation, helping to shape the future direction of the business.
Specifically, you can expect to be involved in:
- Developing new customer segments, lending propositions and distribution channels.
- Identifying opportunities around cross-sell, re-lending and customer value creation.
- Designing and implementing innovative credit strategies and capabilities.
- Building business cases, assessing commercial viability and making data-led recommendations.
- Leading initiatives end-to-end, from concept and strategy through to delivery and BAU handover.
SKILLS AND EXPERIENCE
The successful Senior Credit Risk Manager must have the following skills and experience:
- Strong experience within credit risk, lending strategy, pricing or a related function.
- FinTech and consumer lending experience is essential.
- Advanced SQL skills for analysis and decision-making.
- Python experience would be beneficial.
- Demonstrated ability to think commercially and develop innovative solutions.
- Strong stakeholder management and influencing skills across multiple business functions.
- Comfortable operating in a highly autonomous, individual contributor environment.
- Proven ability to take ownership of initiatives from idea through to measurable business impact.
BENEFITS
The successful Senior Credit Risk Manager will receive a salary up to £110,000.
To Apply for this Job Click Here
BI Developer
Wilmington
$130000 - $150000
+ Advanced Analytics & Marketing Insights
PermanentWilmington, Delaware
To Apply for this Job Click Here
BI Developer (Associate / Senior Associate)
Wilmington, DE | Onsite
$130K-$160K Base + Incentive Potential
U.S. Citizens or Green Card Holders Only | No Sponsorship Available Now or in the Future
A leading enterprise organization is investing heavily in the modernization of its workforce analytics environment and is seeking BI Developers who can help drive the transition from legacy reporting platforms to a modern cloud-based analytics ecosystem.
This is not a traditional dashboard development role. The team is looking for professionals who understand both the front-end analytics experience and the underlying data architecture that powers it. You’ll play a key role in migrating legacy BI assets, improving analytics products, enabling self-service reporting, and helping shape the future state of the organization’s reporting environment.
What You’ll Be Doing
- Design, build, and enhance dashboards, reports, curated datasets, and analytics products used by business stakeholders and leadership teams.
- Lead and support migration efforts from legacy BI platforms into a modern cloud analytics environment.
- Work with large datasets to transform, validate, and optimize data for reporting and analytics use cases.
- Partner with stakeholders to translate business questions into scalable analytical solutions.
- Improve and modernize existing reporting products rather than simply rebuilding them one-for-one.
- Support and enhance legacy dashboards, troubleshoot reporting issues, optimize queries, and maintain business-critical analytics assets.
- Help develop self-service analytics capabilities, semantic layers, and standardized business definitions.
- Present findings and recommendations to stakeholders, including senior leadership audiences.
What We’re Looking For
- Experience building dashboards, reports, and analytics solutions within modern BI platforms.
- Strong SQL, data manipulation, and analytical problem-solving skills.
- Experience working with modern cloud data platforms such as Snowflake, Databricks, or similar technologies.
- Exposure to BI tools such as Sigma, Tableau, Power BI, or comparable platforms.
- Understanding of data pipelines, data flows, and modern analytics architectures.
- Experience supporting both new BI development and existing reporting environments.
- Ability to work directly with business stakeholders and communicate technical concepts clearly.
- Strong troubleshooting mindset and a passion for improving reporting processes and user experience.
Ideal Candidate Background
We’re particularly interested in professionals who have:
- Participated in BI modernization or migration initiatives.
- Worked with both dashboards and the underlying datasets powering them.
- Built analytics solutions on cloud-based data platforms.
- Supported self-service analytics frameworks or semantic layers.
- Partnered directly with business users and leadership teams to deliver actionable insights.
- Experience balancing hands-on development, data analysis, and stakeholder engagement.
Why Apply?
- Join a high-visibility analytics transformation initiative.
- Work with modern cloud data and BI technologies.
- Influence the future analytics strategy of a large enterprise environment.
- Strong compensation with additional flexibility for exceptional candidates.
- Opportunity for growth within a collaborative, data-driven team.
Location: Wilmington, DE
Employment Type: Full-Time
Applicants must be U.S. Citizens or Green Card holders. Sponsorship is not available now or in the future.
To Apply for this Job Click Here
Quantitative Analyst
London
£100000 - £115000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Quantitative Analyst
A rare opportunity to join a research-led quantitative risk team within a leading investment environment. This role offers exposure to complex modelling challenges, significant stakeholder engagement, and the opportunity to influence model governance across the business.
The Company
They are a well-established investment organisation with a strong quantitative culture. Their independent risk function plays a key role in model validation, quantitative research, and risk oversight across a broad range of investment activities.
The Role
- Validate and challenge quantitative models across the business
- Conduct research into model performance, assumptions, and limitations
- Produce model validation reports and recommendations
- Present findings to senior stakeholders and governance committees
- Support the enhancement of risk models and analytical tools
- Develop automation and tooling to improve risk processes
Your Skills & Experience
- Strong Python programming skills
- Commercial experience in quantitative modelling, quant research, model validation, or risk
- Excellent mathematical and analytical capability
- Experience assessing, building, or challenging models
- Confident communicator with strong stakeholder management skills
- STEM degree in a quantitative discipline
To Apply for this Job Click Here
Senior Product Engineer
London
£115000 - £140000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Senior Product Engineer
£115,000 to £140,000 + Equity
Liverpool St., London
This is a rare opportunity to join a well-funded early-stage AI business as one of the first senior engineering hires. You will play a pivotal role in shaping a greenfield AI product, owning technical decisions, influencing the roadmap, and helping build an enterprise-grade platform used by leading organisations.
THE COMPANY
They are an AI startup developing advanced behavioural intelligence technology for enterprise customers. Their platform helps organisations better understand customer behaviours, preferences, and decision-making patterns to improve communications, customer engagement, and product experiences.
Having secured significant early-stage funding, they are now working with major enterprise clients and are focused on scaling their product from proof of concept into wider commercial deployment. With a small, highly experienced team, they offer the opportunity to make a meaningful impact from day one.
THE ROLE
As a Senior Product Engineer, you will take ownership of product development alongside senior leadership, helping transform innovative AI capabilities into a scalable commercial platform.
Specifically, you can expect to be involved in the following:
- Building and scaling a production-grade AI product from the ground up
- Designing and developing APIs and backend services that power enterprise customer integrations
- Owning the LLM application layer, including retrieval-augmented generation (RAG) workflows
- Improving model performance, reliability, evaluation frameworks, monitoring, and cost optimisation
- Working across the stack to deliver customer-facing features and platform capabilities
- Collaborating with stakeholders to translate customer feedback into product improvements
- Establishing engineering best practices across architecture, testing, deployment, and delivery
- Contributing to technical strategy and product roadmap decisions
SKILLS AND EXPERIENCE
The successful Senior Product Engineer will have the following skills and experience:
- Strong commercial experience as a Product Software Engineer or Software Engineer
- Experience building and scaling an LLM-enabled product from concept through to production
- Strong backend engineering expertise, ideally within API-first products
- Experience with Node.js and TypeScript, or a proven ability to transition successfully between technology stacks
- Understanding of RAG architectures, evaluation frameworks, guardrails, monitoring, and model optimisation
- Experience managing token usage, infrastructure costs, and scalability challenges in AI products
- Comfortable working autonomously in a startup or high-growth environment
- Strong product mindset with the ability to make technical and commercial decisions
- Excellent communication and stakeholder management skills
- React experience is beneficial but not essential
- Experience within Financial Services or other regulated industries would be advantageous
BENEFITS
The successful Senior Product Engineer will receive the following benefits:
- Salary between £115,000 – £140,000 – depending on experience
- Equity
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Senior AI Engineer
London
£75000 - £95000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior AI Engineer
£75,000 – £95,000
King’s Cross, London (1-2 days a week in office)
This is an exciting opportunity for a Senior AI Engineer to play a key role in shaping how AI is embedded across a business. Rather than building standalone proofs of concept, you will develop production-grade AI solutions that directly support core business processes, delivering measurable value at scale.
THE COMPANY
They are a well-established organisation investing heavily in AI and advanced technology. With a focus on innovation, they are building scalable solutions that enhance operational efficiency and customer outcomes. Their environment combines strong engineering practices with the opportunity to work on high-impact AI initiatives. You will join a collaborative team where technical expertise and continuous improvement are highly valued.
THE ROLE
As a Senior AI Engineer, you will design and deliver production-ready AI solutions using LLMs and agentic systems, embedding AI into core business processes to drive measurable impact.
Specifically, you can expect to be involved in the following:
- Design and implement end-to-end AI systems that deliver business impact.
- Build and deploy LLM-powered and agent-based solutions from concept through to production.
- Contribute to technical architecture and engineering best practices.
- Develop reusable components, frameworks, and patterns across multiple AI use cases.
- Make informed decisions on models, tooling, infrastructure, and system design.
- Ensure AI solutions are scalable, observable, secure, and production-ready.
- Support evaluation, monitoring, and governance processes for deployed AI systems.
- Provide technical guidance and mentorship to engineers contributing to AI projects.
SKILLS AND EXPERIENCE
The successful Senior AI Engineer will have the following skills and experience:
- Strong commercial experience delivering production-grade AI systems.
- Expertise in generative AI, large language models, prompting, orchestration, and evaluation.
- Experience designing and implementing complex AI solutions across multiple domains.
- Knowledge of agentic AI systems and multi-step workflows.
- Strong software engineering fundamentals, including APIs, system design, and cloud-native architectures.
- Ability to solve problems in evolving and ambiguous environments.
- Experience influencing engineering standards and contributing to technical excellence.
- Exposure to AI platforms, reusable frameworks, LLMOps, or MLOps is advantageous.
- Experience working within enterprise or regulated environments would be beneficial.
BENEFITS
The successful Senior AI Engineer will receive the following benefits:
- Salary between £75,000 – £95,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Senior Credit Risk Manager
London
£100000 - £110000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Senior Credit Risk Manager
Up to £110,000
London (3 days a week in office)
This is a rare opportunity to join a high-growth consumer lending business in a role focused on innovation, transformation, and the development of new lending capabilities. Rather than maintaining existing credit processes, you will have the autonomy to identify, build, and deliver initiatives that create meaningful commercial impact and enhance customer outcomes.
THE COMPANY
They are a well-established financial services organisation operating within the consumer lending space. With strong foundations already in place across credit risk and lending operations, they are investing heavily in the future of their credit function. Their focus is on innovation, customer value, and developing new ways to approach lending, pricing, and customer engagement. You will join a collaborative environment where new ideas are encouraged, tested, and brought to life.
THE ROLE
As a Senior Credit Risk Manager, you will take ownership of high-impact initiatives from concept through to delivery and measurable business outcomes.
Specifically, you can expect to be involved in the following:
- Identifying and delivering new lending, credit, and customer growth initiatives
- Developing new customer segments, lending propositions, and distribution opportunities
- Exploring cross-sell, retention, and customer value enhancement strategies
- Building and implementing innovative credit capabilities and lending strategies
- Assessing commercial opportunities and developing robust business cases
- Using data to evaluate performance, guide decision-making, and quantify impact
- Working closely with Credit Risk, Product, Finance, Commercial, and Operations teams
- Managing initiatives through strategy, execution, launch, and operational handover
- Influencing stakeholders across the business and driving adoption of new approaches
SKILLS AND EXPERIENCE
The successful Senior Credit Risk Manager will have the following skills and experience:
- Strong commercial experience within Credit Risk, Lending, or a related analytical function
- Experience working in a fintech, consumer lending, or fast-paced financial services environment
- Advanced SQL skills and confidence working directly with data
- Python experience is advantageous
- Ability to develop and deliver new ideas rather than solely managing existing processes
- Strong understanding of credit strategy, lending decisioning, pricing, and risk management
- Excellent stakeholder engagement and influencing skills
- A proactive, ownership-oriented approach with the ability to lead initiatives independently
- Comfortable operating in a hands-on individual contributor role
BENEFITS
The successful Senior Credit Risk Manager will receive the following benefits:
- Salary up to £110,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
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