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.
- 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 MANAGEMENT
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
Staff AI Engineer
$200000 - $600000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Staff AI Engineer
(Hands‑on, LLM Platforms, Technical Lead)
Location: New York
Working model: On‑site
Package: $250,000 + Equity + Bonus
The Opportunity
An established, technology‑driven organisation is building a central AI engineering capability to support complex, data‑intensive decision‑making across the business.
This is a high‑impact individual contributor role for a Senior AI Engineer who enjoys operating close to the commercial core. You’ll take ownership of critical AI systems from architecture through to deployment, working within a small, trusted technical group with direct access to senior stakeholders.
The environment suits someone who thrives in low‑bureaucracy, high‑autonomy settings, where AI is expected to deliver real, measurable value, not experiments for experimentation’s sake.
The Role
You will act as the technical lead for advanced AI tooling, owning system design and delivery across a range of internal use cases.
Responsibilities include:
- Designing and building LLM‑based applications, including retrieval‑augmented generation and agent‑style workflows
- Owning end‑to‑end system architecture, performance, and scalability
- Developing AI tools to support research, monitoring, knowledge discovery, and decision support
- Establishing evaluation and quality frameworks to ensure AI outputs meet high reliability standards
- Reviewing code, setting engineering standards, and supporting the development of other engineers
- Partnering closely with non‑technical users to translate complex workflows into intuitive AI products
- Assessing third‑party tooling and platforms where appropriate
This is a deeply hands‑on role with real ownership.
What We’re Looking For
Core requirements:
- Strong software engineering background (Python preferred)
- Proven experience building production AI systems, particularly modern LLM applications
- Solid understanding of:
- Prompt design and iteration
- Embedding pipelines and vector databases
- RAG architectures and tool‑use patterns
- Model evaluation and monitoring
- Experience deploying AI products used by non‑technical stakeholders
- Comfortable setting technical direction while remaining a builder
Nice to have:
- Exposure to complex analytical or commercial domains
- Experience working in small, senior engineering teams
- Background in cloud‑native environments
Why Join?
- Ownership of mission‑critical AI systems
- Direct visibility of impact, your work will be used day‑to‑day
- Modern AI stack with freedom to make technical decisions
- Long‑term scope to shape and grow the AI engineering function
To Apply for this Job Click Here
Sr. Frontend Engineer
New York
$19000 - $170000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
Staff Frontend Engineer
Location: New York City (Hybrid)
Pay: $180k – $225k Base + Bonus & Equity
About the Opportunity
A rapidly growing, venture-backed technology company within the travel industry is seeking a Senior/Staff Frontend Engineer to help build and scale its core platform. The organization is transforming a large, established market through a combination of modern technology, data-driven solutions, and a strong community-focused approach. This individual will play a key role in developing customer-facing products, internal tools, and platform integrations while partnering closely with Product and Design teams
.
Responsibilities
- Partner with Product Managers and Designers to define, prioritize, and deliver key product initiatives
- Build and enhance a web application used for onboarding, workflow management, search functionality, booking experiences, and customer interactions
- Develop and maintain scalable frontend solutions for customer-facing and internal platforms
- Collaborate with backend engineers to design and implement end-to-end technical solutions
- Own projects throughout the full development lifecycle, from architecture through deployment
- Contribute to frontend best practices, code quality, and application performance
- Develop integrations with third-party platforms and external systems
- Help shape the overall user experience through close collaboration with cross-functional teams
Must Have Qualifications
- Bachelor’s degree in Computer Science or a related technical field
- 5+ years of frontend web development experience
- 3+ years of professional experience with React, Vue.js, or Angular
- Experience building stateful and event-driven web applications
To Apply for this Job Click Here
Data Analyst
£50000 - £55000
+ Advanced Analytics & Marketing Insights
PermanentOxfordshire
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DATA ANALYST (6-MONTH FTC)
LONDON/HYBRID
UP TO £55,000
This is an opportunity to join a high-profile regulatory programme where your work will directly support business-critical decision making. Sitting within an established Analytics team, you will play a key role in delivering accurate data analysis, reporting, and extracts to support a major FCA redress initiative.
ROLES AND RESPONSIBILITIES:
The Data Analyst will:
- Support the delivery of a major FCA redress programme.
- Analyse complaints and regulatory datasets to provide actionable insights.
- Write, maintain, and optimise SQL queries.
- Produce large-scale data extracts for operational and reporting requirements.
- Manage high volumes of data requests while maintaining exceptional accuracy.
- Deliver reporting and management information to support programme outcomes.
- Collaborate with technical and non-technical stakeholders across the business.
- Ensure data quality and supporting regulatory reporting requirements.
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
- Strong commercial SQL experience, using SQL as a primary analytical tool.
- Proven ability to manipulate, transform, and analyse complex datasets.
- Experience handling large data extract and reporting requests.
- Strong attention to detail and a commitment to data accuracy.
- Ability to work effectively in a regulated or highly governed environment.
- Experience engaging with business stakeholders and translating requirements into deliverables.
- Availability to start within a reasonable timeframe.
- Financial services experience is beneficial
APPLY BELOW
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Senior Product Manager
Chicago
$158206.1 - $219054.6
+ Risk Analytics
PermanentChicago, Illinois
To Apply for this Job Click Here
Senior or Lead Product Manager – Underwriting
Chicago – 3 days per week
Up to $180,000
Senior Product Manager | Lending, Decisioning & Growth | Chicago (Hybrid)
We’re partnering with a rapidly growing fintech that is transforming how lending decisions are made through technology, automation and data.
As they continue to scale, they’re looking for a Senior Product Manager to own a critical lending product area at the heart of the business – credit risk and underwriting. This is an opportunity to move beyond feature delivery and take ownership of products that directly influence customer outcomes, operational performance and revenue growth.
Why this role?
✅ Own business-critical lending products end-to-end
✅ Drive strategy, roadmap and measurable business outcomes
✅ Partner directly with Engineering, Operations, Analytics and Executive Leadership
✅ Solve complex, ambiguous problems with real autonomy
✅ High visibility and significant influence in a growing organisation
What you’ll be doing
- Own the product strategy, roadmap and KPI performance for a lending domain
- Improve operational workflows and customer journeys through product innovation
- Identify bottlenecks and design scalable technology solutions
- Work closely with engineers to define requirements and launch new capabilities
- Analyse performance using SQL and data-driven experimentation
- Balance customer experience, operational efficiency and business goals
- Lead initiatives from discovery through launch with minimal oversight
What we’re looking for
- Product Managers who have owned outcomes, not just roadmaps
- Strong analytical mindset with SQL and experimentation experience
- Experience optimising complex workflows, systems or decision processes
- Comfort working closely with engineers and technical stakeholders
- Ability to operate effectively in fast-moving, low-structure environments
Particularly interested in backgrounds such as:
- Fintech
- Payments
- Lending
- Fraud & Risk
- Decisioning Platforms
- Pricing & Optimisation Products
- Marketplace or Operationally Complex Systems
- AI / Machine Learning Products
Package
$120,000 – $180,000 Base
10-15% Annual Bonus
Chicago Hybrid (3 days onsite)
❌ No Visa Sponsorship
To Apply for this Job Click Here
VP Credit Risk, Analytics & Data Science
$279903.1 - $365091
+ Risk Analytics
PermanentUSA
To Apply for this Job Click Here
VP Credit Risk Strategy & Data Science
United States (Remote)
Circa $250,000+ Salary
Build the Next Generation of SMB Lending
A high-growth SMB lender is looking for a senior credit leader to help shape the future of its credit operating system.
The business has already built strong foundations across underwriting, portfolio management, and risk governance. This isn’t a turnaround story or a traditional “keep the lights on” credit role.
The next chapter is about:
- Growth in risky segments
- New products
- Smarter underwriting
- Deeper use of machine learning
- Automated decisioning
- Better portfolio intelligence
- Faster translation of data into action
We’re looking for someone who sits comfortably at the intersection of credit strategy, analytics, and data science.
What You’ll Be Doing
- Own credit strategy across originations, portfolio management, and customer lifecycle
- Lead Data Science to build, deploy, and optimize ML-driven decisioning
- Turn portfolio insights into pricing, limit, and policy decisions
- Drive experimentation frameworks, monitoring, and continuous strategy improvement
- Influence how underwriting evolves as the business scales
- Help lead and develop a growing team spanning credit, analytics, and data science
- Work directly with senior leadership on growth, profitability, and risk appetite
What We’re Looking For
You don’t need to be a hands-on data scientist today, but you should be comfortable operating in model-driven environments.
Typically, successful backgrounds include a mix of Credit Strategy & Data Science, making this search difficuly. If you have lived across htese worlds this world is perfect for you.
Ideally you’ll have:
- Experience within fintech, lending, embedded finance, cards, or SMB finance
- Successful ownership of credit strategy in a growth environment
- Strong understanding of ML-driven underwriting and portfolio analytics
- Exposure to alternative data, cash-flow underwriting, or transaction-based decisioning
- Experience owning growth vs loss trade-offs
- Ability to challenge and guide Data Science teams, not just consume their outputs
Why This Role?
- Founder-led business
- Significant executive visibility
- Ability to influence company strategy
- High degree of autonomy
- Real investment in data, analytics, and ML
- Opportunity to help define what credit decisioning looks like over the next several years
This is a role for someone who enjoys building, not maintaining.
To Apply for this Job Click Here
Staff Applied ML Scientist
Palo Alto
$275000 - $325000
+ Data Science & AI
PermanentPalo Alto, California
To Apply for this Job Click Here
Staff Applied Scientist – LLM Suite | Investment Banking | Onsite in Palo Alto, CA
~$450-550k TC including base salary, bonus, and equity grant
Our client, a top-tier global investment bank, is expanding its enterprise AI platform and is looking for a Staff Applied Scientist to join their LLM Suite team. This is a production-focused role where the candidate will be building AI systems actively used by 200,000+ employees worldwide.
This person will own the development of text-to-code pipelines, agentic workflows, database interaction layers, and intelligent chatbots across one of the most complex financial institutions in the world.
Responsibilities
- Designing and deploying LLM-powered features including text-to-code, workflow automation, and AI agent frameworks
- Building and integrating multimodal LLM systems via API-based architectures
- Developing scalable, distributed, and multi-threaded applications using frameworks like Ray, Horovod, and DeepSpeed
- Owning full end-to-end software development cycles from prototyping through production deployment
- Architecting and managing containerized infrastructure using Kubernetes and AWS Fargate
- Building database interaction layers and backend services that support enterprise-scale AI products
- Collaborating cross-functionally with engineering, product, and business teams to translate complex requirements into working systems
Requirements
- PhD in Computer Science, Machine Learning, Applied Mathematics, or a related technical field (required)
- Deep hands-on experience with LLM integrations, both API-based and fine-tuning workflows
- Proven experience with multimodal LLMs and cutting-edge foundation models
- Strong background in distributed systems and scalable application design using Ray, Horovod, DeepSpeed, or equivalent
- Production experience with AWS, Kubernetes, and Fargate
- End-to-end software engineering experience, including design, development, testing, and deployment
- Experience building chatbots, agentic systems, or AI-assisted developer tooling is a strong plus
To Apply for this Job Click Here
Senior Data Analyst
London
£60000 - £70000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Analyst
London | £50,000 – £65,000 + Benefits
Looking for a role where your analysis directly influences business strategy and customer outcomes? This is an opportunity to join a data-driven organisation where you’ll use analytics to shape decision-making, improve performance, and deliver meaningful commercial impact. You’ll work with a range of stakeholders and have the chance to develop your technical and strategic skills in a collaborative environment.
The Company
This organisation operates within a regulated industry and places data at the centre of its decision-making. They are investing in analytics capabilities to drive growth, optimise customer engagement, and improve business performance. With a collaborative culture and a strong focus on innovation, they offer an environment where analytical talent can thrive and make a visible impact.
The Role
- Analyse large datasets to identify trends, opportunities, and actionable business insights.
- Build and maintain reporting solutions for a variety of stakeholders.
- Support customer acquisition, engagement, and retention initiatives through data analysis.
- Translate complex findings into clear recommendations that influence strategy.
- Partner with teams across the business to improve processes and performance.
- Ensure high standards of data quality, accuracy, and governance.
- Contribute to the development of analytical tools, methodologies, and best practice.
Your Skills & Experience
- Strong commercial experience within an analytics function.
- Advanced SQL and/or Python skills.
- Strong Excel capabilities.
- Experience building reports, dashboards, and insight-driven recommendations.
- Ability to solve complex business problems using data.
- Excellent communication and stakeholder management skills.
- Experience working with customer, commercial, or marketing data is advantageous.
- Comfortable working in a fast-paced environment and managing competing priorities.
How to Apply
If you’re an experienced Senior Analyst with strong SQL or Python skills and a passion for turning data into commercial insight, apply today to find out more.
To Apply for this Job Click Here
AI Support Engineer
Manhattan
$60 - $75
+ Data Science & AI
ContractManhattan, New York
To Apply for this Job Click Here
AI Support Engineer
Harnham, the leading recruitment specialist in Data and AI, is currently partnering with a leading organization leveraging cutting-edge AI technologies to drive innovation and business value across the enterprise
- Role: AI Support Engineer
- Location: Midtown Manhattan
- Pay: $60 – $75 per hour
- Length: Extendable 3 months initial contract
- Utilization: 40 hr/week
- Benefits: W2 employees are eligible for health, dental, vision, and 401k benefits.
As an AI Support Engineer, you will serve as the expert level of support for ChatGPT within the organization, acting as both a technical specialist and trusted advisor. You will resolve complex AI-related issues, support and administer the ChatGPT Enterprise environment, drive user adoption, provide governance guidance, and help teams unlock business value through AI workflows, prompt engineering, and emerging AI capabilities. You will work closely with stakeholders across the organization to improve user experience, enable productivity gains, and maximize the impact of enterprise AI investments.
Key Responsibilities:
- Triage and resolve complex ChatGPT support requests and technical issues.
- Educate users on effective AI usage, including best practices, efficiency techniques, and responsible AI principles.
- Coach users and teams on advanced AI capabilities, including prompt engineering, model selection, Deep Research, apps/connectors/plugins, custom GPTs, Skills, and Workspace Agents.
- Administer and support the ChatGPT Enterprise workspace, including user management, configuration, analytics, and troubleshooting.
- Analyze recurring issues and identify opportunities to improve processes, documentation, and overall user experience.
Requirements:
- Bachelor’s degree in Computer Science, Information Technology, Business, or a related field, or equivalent practical experience.
- Strong expertise in Generative AI with deep hands-on experience using ChatGPT or Claude (ChatGPT Enterprise experience preferred).
- Demonstrated prompt engineering skills and experience designing sophisticated AI workflows.
- Strong business analysis skills with the ability to translate business challenges into effective AI solutions.
- Experience administering enterprise AI platforms or SaaS applications preferred.
This is an excellent opportunity for a technically strong AI practitioner who combines deep product expertise with exceptional business judgment. The ideal candidate is naturally curious, thrives on solving complex problems, proactively identifies opportunities to improve AI adoption, and enjoys helping others become advanced AI users. This role offers the opportunity to work at the forefront of enterprise AI transformation while driving meaningful impact across the organization.
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AI Engineer
Amsterdam
€69505.38 - €98465.96
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
AI Engineer
Amsterdam | €60,000 – €85,000 incl. 8% Holiday Allowance
This is an exciting opportunity for a curious and ambitious AI Engineer to help transform a customer journey through practical AI applications. You’ll work across product, technology, and operations, applying AI to real business challenges while developing your skills in a fast-growing environment.
The Company
They are a technology-led financial services business with a strong focus on innovation, customer experience, and automation. Their mission is to simplify complex customer processes through smart technology and data-driven decision-making. AI is becoming a core part of their product strategy, creating an opportunity to influence how customers and internal teams interact with key services. You will join a collaborative team where learning, experimentation, and ownership are highly valued.
The Role
As an AI Engineer, you will design, develop, and improve AI-powered solutions that enhance both customer and employee experiences.
Key responsibilities include:
* Designing and implementing AI-driven applications, workflows, and product features
* Translating business challenges into practical AI solutions
* Integrating LLMs, APIs, and AI services into existing systems and processes
* Creating evaluation frameworks, test datasets, and quality metrics for AI products
* Monitoring AI performance and identifying opportunities for continuous improvement
* Analysing user feedback, product metrics, and production data to optimise solutions
* Collaborating closely with software engineers, domain experts, and compliance stakeholders
* Supporting software development activities when required across front-end and back-end environments
* Contributing to the long-term AI strategy and product roadmap
Your Skills & Experience
* Strong analytical and problem-solving capabilities
* Fluency in Dutch, both written and spoken
* Ability to quickly learn and understand complex business domains
* Affinity with technology, software development, and AI applications
* Experience in a technical, analytical, product, or business-focused role
* Excellent communication skills and the ability to work with both technical and non-technical stakeholders
* Interest in AI technologies, LLMs, and emerging AI products
Beneficial experience includes:
* Python, TypeScript, or other programming languages
* LLM applications and prompt engineering
* Agentic workflows, RAG, orchestration frameworks, or AI tooling
* API integrations
* Product experimentation, evaluation frameworks, and quality measurement
* Monitoring, analytics, and observability tools
* Experience within financial services environments
What They Offer
* Salary of €60,000 – €85,000 inclusive of holiday allowance
* Permanent full-time position
* Hybrid working environment based in Amsterdam
* Opportunity to work directly on customer-facing AI products
* Strong exposure to AI, product development, and software engineering
* Significant learning and career development opportunities
* Direct collaboration with experienced founders and cross-functional teams
How to Apply
If you’re excited about applying AI to real business problems and want to build impactful products in a collaborative environment, apply today to learn more about this opportunity.
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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.
To Apply for this Job Click Here
Finance Director
$150000 - $190000
+ Advanced Analytics & Marketing Insights
PermanentUSA
To Apply for this Job Click Here
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
To Apply for this Job Click Here
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.
To Apply for this Job Click Here
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