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
- Â
-
- 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.
Â
-
- 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.
Â
-
- 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.
Â
-
- 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.
Â
-
- 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.
Â
-
- 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.
Â
- Ethics and integrity: Data privacy and security are critical in the BFSI sector. Employers seek candidates who demonstrate high ethical standards, integrity, and compliance with regulatory requirements when handling sensitive data. To discover more about will make the perfect candidate for your business, contact us now. Our BFSI data recruitment experts would love to hear from you.
DATA SCIENCE OVERVIEW
Data science plays a critical role in the banking, financial services, and insurance sector by helping organizations make data-driven decisions, manage risks, and improve customer experience. With the vast amount of data generated by BFSI organizations, data science has become an essential tool to analyze and interpret this data to gain insights and drive growth.
In the BFSI sector, data science is used for a variety of purposes, including fraud detection, credit risk analysis, customer segmentation, and product development. Data scientists in the sector use statistical analysis, machine learning, and data modeling techniques to develop predictive models that help organizations make informed decisions.
One of the key benefits of data science in the BFSI sector is improved risk management. Data scientists can use historical data and predictive modeling techniques to identify potential risks and mitigate them before they become a problem. This helps organizations minimize losses and maintain financial stability.
Another benefit of data science in the BFSI sector is improved customer experience. By analyzing customer data, organizations can understand their preferences and behavior, and use this information to offer personalized products and services that meet their needs.
Data science is imperative in the BFSI sector. By helping organizations make informed decisions, manage risks, and improve customer experience. As the industry continues to generate vast amounts of data, the demand for data scientists in the BFSI sector is likely to continue to grow, making it a promising career path for those interested in data science and analytics. If you're still in need of the perfect candidate for your BFSI business, contact us today. Our BFSI data recruitment specialists are here to help!
BUSINESS INTELLIGENCE OVERVIEW
Business Intelligence (BI) jobs are in high demand in the Banking, Financial Services, and Insurance (BFSI) sector. BI professionals are responsible for gathering, analyzing, and visualizing large amounts of data to provide insights that help BFSI organizations make informed decisions.
The BFSI sector relies heavily on data to manage risks, improve customer experiences, and comply with regulations. As a result, BI professionals play a critical role in helping BFSI organizations stay competitive in today's fast-paced business environment.
BI jobs in the BFSI sector require a strong understanding of financial data, regulatory compliance, and business operations. The ideal candidate should have expertise in data modeling, analytics, and visualization tools. Additionally, they should possess strong communication and problem-solving skills to work effectively with cross-functional teams.
BI jobs in the BFSI sector are a key component of a successful and thriving organization. They play a critical role in helping BFSI organizations gain insights into their operations, improve customer experiences, and make data-driven decisions. If you need more information on recruiting for BI, contact us today. Speak to our BFSI data recruitment specialists, they are here to help!
DATA MANAGEMENTÂ
Data Management jobs in the Banking, Financial Services, and Insurance (BFSI) sector are like the unsung heroes behind the scenes, working tirelessly to keep the wheels of the industry turning smoothly. With the sheer magnitude of data that BFSI organizations deal with on a daily basis, managing this vast ocean of information is no small feat. It requires a unique blend of skills and expertise to navigate through the complexities and ensure that data is organized, stored, protected, and maintained with the utmost integrity.
In the fast-paced, data-driven world of BFSI, where decisions are made in the blink of an eye and risks lurk around every corner, Data Management professionals are the gatekeepers of reliable and accurate data. They are the ones who ensure that data flows seamlessly across the organization, providing the foundation upon which strategic decisions are made, risks are mitigated, and regulations are adhered to.
But what does it take to be a Data Management pro in the BFSI sector? It's not just about being tech-savvy and having a basic understanding of data. It goes much deeper than that. These professionals need to have an in-depth understanding of the nuances of financial data, regulatory compliance, and the intricacies of business operations. They need to be the maestros of data governance, data quality, and data integration, orchestrating a symphony of data that harmoniously supports the organization's goals and objectives.
However, it's not just about crunching numbers and analyzing data. Effective communication and problem-solving skills are equally important for Data Management professionals in the BFSI sector. They need to be able to effectively collaborate with cross-functional teams, navigating through the maze of stakeholders, departments, and systems to ensure that data is managed in a way that adds value to the organization. For more expert hiring advice, speak to our BFSI data recruitment consultants today!
RISK ANALYTICS
In the dynamic world of Banking, Financial Services, and Insurance (BFSI), Risk Analytics jobs are indispensable. These roles involve delving into vast amounts of data to uncover potential risks and opportunities, providing valuable insights that empower organizations to make informed decisions in the face of uncertainty.
BFSI organizations operate in a constantly evolving environment, where a multitude of risks lurk. This is where Risk Analytics professionals step in, playing a pivotal role in proactive risk management, loss mitigation, and profit maximization.
Deep expertise in financial data, statistical analysis, and business operations is a must for Risk Analytics jobs in the BFSI sector. The ideal candidate is well-versed in risk modeling, scenario analysis, and stress testing, and possesses exceptional communication and problem-solving skills to collaborate effectively with cross-functional teams.
Being part of the Risk Analytics team in the BFSI sector means being an integral part of organizational success. You will help identify potential risks and opportunities, guide decision-making, and keep organizations competitive in today's ever-changing business landscape. Expect the unexpected, analyze the complexities, and unlock insights that drive strategic outcomes. Don't navigate risk analytics recruitment alone. Contact our BFSI data recruitment experts today!
CUSTOMER ANALYTICS
Customer Analytics roles within the dynamic realm of the Banking, Financial Services, and Insurance (BFSI) sector are nothing short of paramount. These professionals are tasked with delving into the labyrinthine depths of customer data to unravel the enigmatic patterns of customer behavior, preferences, and needs. Armed with these invaluable insights, organizations can fashion bespoke products and services that cater to the idiosyncratic demands of their discerning clientele.
In the cutthroat landscape of the BFSI sector, where competition is rife and innovation is imperative, comprehending customer behavior and preferences takes center stage. Thus, Customer Analytics roles emerge as pivotal pillars, empowering organizations to gain a strategic edge, enhance customer satisfaction, and propel growth to unprecedented heights.
Flourishing in the realm of Customer Analytics within the BFSI sector calls for an astute grasp of customer data, proficiency in statistical analysis, and a profound understanding of business operations. The ideal candidate is a virtuoso in customer segmentation, adept in predictive modeling, and a maestro in data visualization. Furthermore, exceptional communication and problem-solving skills are essential to collaborate effectively with multifaceted, cross-functional teams.
Embarking on a career in Customer Analytics for the BFSI sector bestows upon you an indomitable sense of purpose as you become a linchpin of success for BFSI organizations. Your prowess in unearthing customer behavior, preferences, and needs will serve as the catalyst for crafting tailor-made products and services that cater to the distinctive requirements of your esteemed customers. To find out more, contact our BFSI data recruitment experts now!
JOBS
LATEST financial services
DATA JOBS
Senior AI/ML Engineer
London
£106822.68 - £123256.94
+ Data Science & AI
PermanentEngland
To Apply for this Job Click Here
Senior AI/ML Engineer
Fully Remote
Competitive salary between 130,000 to 150,000 USD base salary (paid in GBP) + equity + bonus
No sponsorship available
A standout opportunity to join a high‑growth technology business building advanced AI features into a market‑leading analytics platform. This role is ideal for someone who loves end‑to‑end machine learning, enjoys experimenting with the latest AI and LLM tools, and wants to work in a fast‑moving product environment where models directly impact customers.
The Company
They are a well‑funded, fully remote, product‑led technology organisation operating in a highly data‑rich domain. Their platform provides deep analytical insights to help customers discover opportunities, make informed decisions, and protect their portfolios. With strong backing, global reach and an ambitious roadmap, they are investing heavily in AI and expanding their senior engineering capability. The culture values transparency, speed, curiosity, ownership and simplicity.
The Role
You will join a small, senior team focused on building AI‑powered features that sit at the heart of the product.
Your work will involve
- Creating and scaling machine learning models across large and complex datasets
- Conducting high‑quality exploratory data analysis and shaping modelling approaches
- Working end‑to‑end across data, modelling, evaluation and integration with engineering
- Experimenting with new AI and LLM tooling to influence the product roadmap
- Contributing to labelling, behaviour modelling and intelligence features
- Collaborating closely with product and engineering to ship AI features that drive real customer value
Your Skills and Experience
- Strong commercial experience in Python for data science and machine learning
- Confidence working end‑to‑end across the ML lifecycle, including EDA and best‑practice DS methodology
- Experience or interest in GCP
- Genuine interest in the crypto, blockchain or financial data space
- Curiosity for modern AI and LLMs, with evidence of experimentation or personal projects
- Comfortable working in product‑focused environments and contributing to engineering‑ready solutions
- Start‑up experience is beneficial; consultancy backgrounds are less suited to this role
What They Offer
- Competitive salary between 130,000 to 150,000 USD base salary, paid in GBP
- Performance‑based bonus
- Equity with a four‑year vesting schedule
- Fully remote working, with once a year meetups across EMEA and APAC
- A high‑impact role in a growing AI team with strong technical leadership
How to Apply
If you are excited by the opportunity, please apply with your CV or email me at
To Apply for this Job Click Here
Product Analyst
London
£50000 - £85000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Are you a Product Analyst who loves understanding user behaviour, running experiments, and helping product teams build better digital experiences? I’m hiring for a Product Analyst role at a well‑established consumer platform offering discounts and perks to millions of UK users. The business is scaling internationally and evolving into a more tech‑led organisation, giving you massive data, real ownership, and exposure to strategic product work.
You’ll sit within the central Data function and partner closely with Product Managers to analyse user journeys, run A/B tests, and provide the insights that shape product decisions. This is a hands‑on, impact‑driven role in a modern data environment with huge opportunities to influence the product roadmap.
What you’ll be doing
- Apply quantitative analysis and storytelling to understand how users interact with the platform and what drives behaviour.
- Use data proactively to uncover opportunities, size problems, and generate hypotheses for testing.
- Design, run, and analyse A/B tests and experiments in partnership with product teams.
- Define and track meaningful product metrics; ensure consistent measurement across teams.
- Build and maintain core data products enabling self‑serve insights and faster product decisions.
- Conduct deep dives into user journeys, drop‑off points, behaviour segments, funnel performance, and platform trends.
- Collaborate cross‑functionally with engineers, data teams, product, commercial, and marketing stakeholders.
- Contribute to the Insights Hub and documentation repositories, keeping analytical knowledge up‑to‑date.
What you bring
Must‑haves:
- Strong SQL skills (non‑negotiable).
- Hands‑on experience with product analytics in a tech or consumer‑app environment, ideally companies like Monzo, Deliveroo, Just Eat, marketplaces, or membership/loyalty platforms.
- Experience running and evaluating A/B tests and experimentation frameworks.
- Ability to translate business problems into analytical tasks and communicate clear, actionable insights.
- Strong storytelling ability, turning numbers into narratives
Good to have:
- Experience working with large‑scale customer behaviour datasets.
- Experience in consumer tech, fintech, loyalty platforms, or other high‑traffic digital products.
- Python/R/dbt exposure (not required).
Industry background:
While open, the strongest fits tend to come from tech‑first consumer products where experimentation, app behaviour insights, and funnel optimisation are standard ways of working.
The culture & offer
- A modern, data‑mature environment with over four million UK users and expanding globally.
- A product‑led organisation investing heavily in experimentation and user behaviour analytics.
- Private equity backing driving international expansion and new capabilities.
- FTC with benefits, strong likelihood of multi‑month extension.
- Salary up to £85k depending on experience.
- Offices in London and Leicester – ideally 1-2 days per week but flexible.
To Apply for this Job Click Here
Data Analyst
London
£45000 - £50000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
CREDIT RISK ANALYST (BI)
LONDON/HYBRID
UP TO £50,000
This is an exciting opportunity to join a fast‑growing lender at a pivotal moment. You will play a key role in shaping how credit insights are built, understood, and used across the business, with the chance to make a visible impact from day one.
ROLES AND RESPONSIBILITIES:
The Credit Risk Analyst will:
* Build and maintain data pipelines, data lakes, dashboards, and reports to support credit risk monitoring and performance analysis.
* Collect, clean, and process customer data as new lending products launch, ensuring high data quality and consistency.
* Identify trends, patterns, and insights across credit performance and customer behaviour to support strategy and decision making.
* Present findings to stakeholders across Credit, Product, and wider business teams.
* Contribute to a wide range of credit and analytics projects with the opportunity to develop into a broader credit risk role over time.
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience
* Strong commercial experience with SQL and a data visualisation tool such as Tableau, Power BI, or similar.
* Hands‑on experience in data cleaning, dashboarding, and BI reporting, ideally within a fintech, lender, bank, or start‑up environment.
* Comfortable working with large datasets and building scalable, accurate reporting solutions.
* Interest in credit, lending, and customer behaviour analysis.
* Python experience is beneficial but not essential.
* Proactive, curious, and motivated to work in a fast‑moving, growing team.
APPLY BELOW!
To Apply for this Job Click Here
Analytics Manager – Financial Services
London
£75000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Analytics Manager
London, Hybrid | Up to £90,000 + bonus
This is a great opportunity to step into a visible Analytics Manager role where you will shape data-driven solutions for major financial services clients. You will lead a small team, own client relationships, and turn complex property and mortgage data into actionable insight that directly influences products and commercial decisions.
The Company
They are a specialist data and analytics business that supports banks, lenders, and financial services organisations with property, mortgage, and credit risk insight. Their products and analytics help clients make faster, smarter lending decisions using robust data and advanced modelling. You will join a collaborative analytics team that partners closely with product and commercial colleagues. The culture is dynamic, supportive, and geared towards innovation and continuous improvement.
The Role
As Analytics Manager, you will:
- Lead and mentor a team of analysts, managing day-to-day delivery and supporting their development.
- Own the delivery of analytics solutions for financial services clients, with a particular focus on property and mortgage data.
- Work directly with clients to understand their challenges and translate these into data-driven solutions.
- Present analytical insight to senior stakeholders, clearly explaining complex concepts to technical and non-technical audiences.
- Partner with product and commercial teams to shape new features and propositions using data.
- Support pre-sales activity by exploring client data, scoping solutions, and demonstrating the value of analytics.
- Proactively identify trends, risks, and opportunities in client and market data to inform product and strategy.
Your Skills And Experience
You will be a strong fit if you have:
- Solid commercial experience in analytics within financial services, mortgages, credit risk, or a closely related area.
- Proven experience leading or mentoring analysts, with the ability to manage delivery across multiple projects.
- Strong technical skills in Excel and SQL, with working knowledge of Python for analysis and modelling.
- A data storytelling mindset, able to turn complex analysis into clear, actionable insight for clients.
- Experience working with or alongside banks, mortgage lenders, or credit decisioning teams.
- A highly numerate, analytical approach with a creative, problem-solving mindset.
- Strong stakeholder skills, with confidence presenting to senior, technical and non-technical audiences.
- An interest in property, housing, and mortgage markets.
What They Offer
- Base salary up to £90,000, plus bonus and competitive benefits.
- Hybrid working, with 2 days per week in the London office and set team time together on Tuesdays.
- The chance to lead a high-impact analytics function with direct exposure to senior stakeholders and major financial institutions.
- Clear progression opportunities as the analytics and product functions continue to grow.
- A collaborative environment where new ideas, curiosity, and innovation are encouraged.
How To Apply
If you are an Analytics Manager, or a senior analyst ready to step up, and you are excited by the blend of client-facing work, team leadership, and hands-on analytics in London, apply with your CV to find out more.
To Apply for this Job Click Here
Strategy Insights Analyst
Southampton
£40000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentSouthampton, Hampshire
To Apply for this Job Click Here
Strategy Insight Analyst
Southampton (5 days per week on-site)
£40,000 – £50,000 + benefits
A well-established UK financial services business is hiring a Strategy Insight Analyst to join a growing operations analytics function. The role sits at the intersection of data, operations and strategy, supporting decision-making across the full customer lifecycle.
This position is suited to someone who enjoys getting close to how a business actually runs and using data to improve processes, outcomes and customer experience.
The role
-
Deliver analytical insight across customer acquisition, decisioning, account management and collections
-
Support operational and strategy teams with data-led recommendations
-
Work on end-to-end analytical projects: data extraction, analysis, insight and stakeholder reporting
-
Translate complex analysis into clear, practical outputs for non-technical audiences
-
Contribute to the development of operational strategy and performance optimisation
What they’re looking for
-
2+ years’ experience in an analytical role (financial services preferred)
-
Strong SQL skills and experience with a data visualisation tool
-
Evidence of owning analytical work from problem definition to business impact
-
Commercially minded, curious and comfortable working in a fast-moving environment
-
Strong communication skills and a collaborative working style
-
UK experience required (no sponsorship available)
Why consider it
-
Broad exposure across multiple business areas rather than a narrow reporting role
-
High visibility with senior stakeholders
-
Growing analytics team with clear progression opportunities
-
Opportunity to shape the role based on your interests and strengths
Location: Southampton – 5 days per week on-site
Salary: £40,000-£50,000
Find out more and apply via the link below.
To Apply for this Job Click Here
Credit Risk Analyst
London
£45000 - £50000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
CREDIT RISK ANALYST (BI)
LONDON/HYBRID
UP TO £50,000
This is an exciting opportunity to join a fast‑growing lender at a pivotal moment. You will play a key role in shaping how credit insights are built, understood, and used across the business, with the chance to make a visible impact from day one.
ROLES AND RESPONSIBILITIES:
The Credit Risk Analyst will:
* Build and maintain data pipelines, data lakes, dashboards, and reports to support credit risk monitoring and performance analysis.
* Collect, clean, and process customer data as new lending products launch, ensuring high data quality and consistency.
* Identify trends, patterns, and insights across credit performance and customer behaviour to support strategy and decision making.
* Present findings to stakeholders across Credit, Product, and wider business teams.
* Contribute to a wide range of credit and analytics projects with the opportunity to develop into a broader credit risk role over time.
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience
* Strong commercial experience with SQL and a data visualisation tool such as Tableau, Power BI, or similar.
* Hands‑on experience in data cleaning, dashboarding, and BI reporting, ideally within a fintech, lender, bank, or start‑up environment.
* Comfortable working with large datasets and building scalable, accurate reporting solutions.
* Interest in credit, lending, and customer behaviour analysis.
* Python experience is beneficial but not essential.
* Proactive, curious, and motivated to work in a fast‑moving, growing team.
APPLY BELOW!
To Apply for this Job Click Here
Senior Data Engineer
London
£80000 - £90000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Senior Data Engineer
Central London (2-3 days a week)
Salary £90,000 plus benefits.
This is an excellent opportunity to take ownership of a modern AWS data platform within a growing financial organisation. You will play a key role in shaping their data environment, strengthening engineering standards, and ensuring their data is ready for analytics and AI initiatives.
The Company
They are a digital‑focused financial services organisation operating across commercial banking, fintech enablement, and lending. Their technology supports a wide range of products, and they continue to invest heavily in modern data capabilities. With strong momentum and a commitment to advancing their UK data function, they offer a place where you can make meaningful technical impact.
The Role
* Design and maintain end to end ELT and ETL pipelines within a large scale AWS environment.
* Build well structured data models and curated layers to support reporting and analytics.
* Improve data quality, observability, governance, and overall platform reliability.
* Lead architectural decisions and support a review of existing workflows and pipelines.
* Contribute to ongoing transformation and migration projects.
* Provide technical guidance and mentor a junior engineer.
Your Skills and Experience
* Strong commercial experience working with AWS in production environments.
* Proficiency in Python and SQL for data processing and orchestration.
* Experience with Airflow for workflow management.
* Knowledge of cloud data warehousing, ideally Redshift.
* Experience with infrastructure as code and CI/CD tooling such as Terraform and GitHub.
* Ability to build reliable, governed pipelines with strong data quality and lineage practices.
* Experience in regulated settings or fast moving scale ups is beneficial.
What They Offer
* Salary of £90,000.
* Hybrid working with 2-3 days in the office.
* A comprehensive benefits package including health cover, pension, insurance, enhanced leave, and flexible bank holiday options.
* Opportunities to influence architectural direction within a modern data and AI function.
* Clear progression as the data team continues to grow.
How to Apply
If this London based Senior Data Engineer role sounds like the right next step, apply now.
To Apply for this Job Click Here
Director of Decision Science
London
£120000 - £135000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Director of Decision Science
West London. £120000 to £135000 plus up to 50 percent bonus and share options. Hybrid with three days per week in the office.
You will play a central role in shaping the modelling strategy for a fast‑growing embedded finance provider. This is a chance to take full ownership of the underwriting and acquisition modelling roadmap, lead two technical teams, and influence how advanced models power customer growth across multiple international markets.
The Company
They are a data driven embedded finance organisation using partner‑supplied data and advanced modelling to deliver personalised financial products to small and medium sized businesses. Operating across the UK, Europe, and North America, they continue to scale rapidly and are investing heavily in decision science. Their environment offers the autonomy to set standards while working with high quality data and impactful lending products.
The Role
* Lead the end‑to‑end development, validation, and monitoring of underwriting and acquisition models across multiple regions.
* Set modelling standards and define what good looks like for build quality, documentation, and governance.
* Guide the long term roadmap for how models support customer acquisition, pricing, and portfolio performance.
* Oversee the integration of MLOps and model deployment into the decision science function.
* Partner with product, engineering, and commercial teams to translate model outputs into real business decisions.
* Manage model development and acquisition analytics teams, ensuring technical excellence and clear development pathways.
Your Skills and Experience
* Strong hands on experience building predictive models in Python using approaches such as gradient boosting.
* Experience working with consumer or commercial risk modelling, decision science, or similar data heavy environments.
* Ability to take a commercially minded approach to acquisition, pricing, and performance.
* Confident managing full model lifecycles including design, testing, deployment, and monitoring.
* Effective leadership and stakeholder skills within technical and non technical environments.
* MLOps or R experience is beneficial but not essential.
What They Offer
* £120000 to £135000 base salary.
* Bonus up to 50 percent, typically 30 to 40 percent.
* Share options.
* Hybrid working with three days per week in the office.
* Clear progression opportunities within a scaling, international business.
How to Apply
To be considered for this Director of Decision Science role, please apply with your CV.
To Apply for this Job Click Here
Product Analyst (3-6 month FTC)
Leicester
£50000 - £85000
+ Advanced Analytics & Marketing Insights
ContractLeicester, Leicestershire
To Apply for this Job Click Here
Are you a Product Analyst who loves understanding user behaviour, running experiments, and helping product teams build better digital experiences? I’m hiring for a Product Analyst role at a well‑established consumer platform offering discounts and perks to millions of UK users. The business is scaling internationally and evolving into a more tech‑led organisation, giving you massive data, real ownership, and exposure to strategic product work.
You’ll sit within the central Data function and partner closely with Product Managers to analyse user journeys, run A/B tests, and provide the insights that shape product decisions. This is a hands‑on, impact‑driven role in a modern data environment with huge opportunities to influence the product roadmap.
What you’ll be doing
- Apply quantitative analysis and storytelling to understand how users interact with the platform and what drives behaviour.
- Use data proactively to uncover opportunities, size problems, and generate hypotheses for testing.
- Design, run, and analyse A/B tests and experiments in partnership with product teams.
- Define and track meaningful product metrics; ensure consistent measurement across teams.
- Build and maintain core data products enabling self‑serve insights and faster product decisions.
- Conduct deep dives into user journeys, drop‑off points, behaviour segments, funnel performance, and platform trends.
- Collaborate cross‑functionally with engineers, data teams, product, commercial, and marketing stakeholders.
- Contribute to the Insights Hub and documentation repositories, keeping analytical knowledge up‑to‑date.
What you bring
Must‑haves:
- Strong SQL skills (non‑negotiable).
- Hands‑on experience with product analytics in a tech or consumer‑app environment, ideally companies like Monzo, Deliveroo, Just Eat, marketplaces, or membership/loyalty platforms.
- Experience running and evaluating A/B tests and experimentation frameworks.
- Ability to translate business problems into analytical tasks and communicate clear, actionable insights.
- Strong storytelling ability, turning numbers into narratives
Good to have:
- Experience working with large‑scale customer behaviour datasets.
- Experience in consumer tech, fintech, loyalty platforms, or other high‑traffic digital products.
- Python/R/dbt exposure (not required).
Industry background:
While open, the strongest fits tend to come from tech‑first consumer products where experimentation, app behaviour insights, and funnel optimisation are standard ways of working.
The culture & offer
- A modern, data‑mature environment with over four million UK users and expanding globally.
- A product‑led organisation investing heavily in experimentation and user behaviour analytics.
- Private equity backing driving international expansion and new capabilities.
- FTC with benefits, strong likelihood of multi‑month extension.
- Salary up to £85k depending on experience.
- Offices in London and Leicester – ideally 1-2 days per week but flexible.
To Apply for this Job Click Here
Software Engineer
London
£500 - £550
+ Data Engineering
ContractEngland
To Apply for this Job Click Here
Senior Backend Engineer – Commercial Data & HubSpot
London or UK/EU Remote, Outside IR35
A high‑impact contract leading the Commercial Data Manager platform and taking full ownership of a growing HubSpot ecosystem. This role is ideal for a senior engineer who enjoys working across data, systems integrations and commercial tooling.
The Company
They are a digital organisation scaling rapidly following recent investment, with a sharpened focus on commercial operations and data quality. Their commercial platform and HubSpot infrastructure are evolving fast, and they now want to bring ownership fully in‑house to increase agility and unlock new capabilities across their teams.
The Role and Deliverables * Lead development and ongoing improvement of the Commercial Data Manager platform.
* Take full technical ownership of HubSpot, including maintenance, enhancements and feature delivery.
* Replace the existing external agency and ensure all HubSpot development and integrations run in‑house.
* Build and maintain integrations across services, ensuring clean data flow into commercial systems.
* Work closely with commercial stakeholders to translate requirements into scalable technical solutions.
* Support architectural decisions and collaborate with the wider engineering leadership group.
Your Skills and Experience * Strong backend development experience with Node.js, JavaScript and TypeScript.
* Proven hands‑on HubSpot experience, ideally owning or delivering complex integrations or automation.
* Confident in system design, data modelling and architecting integration‑heavy environments.
* Experience working in cloud ecosystems, preferably AWS.
* Effective communicator with the ability to work directly with commercial teams and non‑technical stakeholders.
* Proactive, collaborative and comfortable taking ownership of key systems.
How to Apply
If you are a senior backend contractor with proven HubSpot expertise and a passion for building scalable commercial systems, apply now to find out more.
To Apply for this Job Click Here
Senior Data Engineer
Leeds
£75000 - £75000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
Senior Data Engineer
Leeds/Manchester – hybrid 2x week in office
Salary: up to £75,000
This is an opportunity to play a key role in building and improving a modern cloud data platform for a growing financial organisation. You will shape data architecture, deliver high‑quality pipelines, and help uplift engineering standards in a team that values innovation, governance, and technical leadership.
The Company
They are a fast‑growing financial services organisation with a strong presence across the UK. Their work spans commercial banking, fintech‑focused services, and SME lending. With continued investment in data and technology, they are scaling their data capabilities to support new products, stronger analytics, and an ambitious transformation agenda. You will join a team focused on building a trusted, well‑governed, and scalable data environment.
The Role
* Own the design, build, and optimisation of cloud‑based ELT and ETL pipelines.
* Shape the data warehouse architecture and ensure data is prepared for analytics, reporting, and operational use.
* Improve existing processes and contribute to a modernised engineering approach.
* Introduce governance best practices including data quality, observability, lineage, and access control.
* Mentor a junior engineer and support the uplift of engineering standards.
* Contribute to potential migration projects and wider transformation initiatives.
* Collaborate with data, engineering, and business teams in an agile environment.
Your Skills and Experience
* Strong commercial experience working as a Data Engineer in a cloud environment.
* Proven capability with AWS, Python, SQL, and Airflow.
* Hands‑on experience designing and maintaining data pipelines and data models.
* Knowledge of Redshift or similar cloud data warehouse tools.
* Experience with infrastructure‑as‑code tools such as Terraform.
* Understanding of data governance, quality, and architectural best practices.
* Comfortable operating in fast‑scaled environments such as fintechs, scale‑ups, or modern engineering teams.
What They Offer
* Hybrid working with 2-3 days per week in the office.
* A collaborative culture and clear opportunities for technical growth.
* Exposure to modern tooling including AWS, Redshift, Airflow, Terraform, and dbt.
* The chance to shape a data platform and have meaningful influence on engineering standards.
How to Apply
If you are interested in this Senior Data Engineer position, please apply with your CV.
To Apply for this Job Click Here
Software Engineering Lead (Data & Analytics Enablement)
Atlanta
$160000 - $180000
+ Data Engineering
PermanentAtlanta, Georgia
To Apply for this Job Click Here
Software Engineering Lead, Data & Analytics
Location: US Remote (preferred states – Georgia, Alabama, New York, Colorado, Florida)
Salary: $160-180k base + bonus
We’re partnering with a large, well-capitalized private equity platform to hire a Senior Software Engineer to support and scale their growing Data & Analytics organization.
This role sits at the intersection of software engineering, data infrastructure, and analytics products, with a direct line of sight into how data is used to drive investment decisions and portfolio performance across a global, multi-brand ecosystem.
The Opportunity
The business is investing heavily in its internal data and analytics capabilities. This hire will play a key role in building the software foundations that allow data scientists and analysts to deliver production-ready insights.
You’ll work closely with data science, analytics, and engineering teams to translate business problems into scalable, reliable analytics products, including data pipelines, internal applications, and modern user interfaces.
This is a hands-on engineering role with end-to-end ownership across the full development lifecycle.
What You’ll Be Doing
- Partner with data science and analytics teams to turn business problems into engineered solutions
- Build and maintain data pipelines and cloud infrastructure supporting analytics and ML workloads
- Develop production-ready analytics tools and internal applications delivered through modern UIs
- Support analytics solutions from exploratory analysis through prototyping, validation, and deployment
- Build custom packages and services, including automated CI/CD pipelines with testing
- Work across ETL frameworks to support new and existing data feeds
- Stay current on modern software engineering tools and best practices
What We’re Looking For
- 8+ years of professional software engineering experience
- Strong experience building and deploying production systems end to end
- Proficiency in Python, SQL, and JavaScript (or similar languages)
- Experience designing and operating cloud-based architectures using Docker, Kubernetes, and related tools
- Background working closely with data science and analytics teams
- Experience translating business requirements into scalable technical solutions
- Strong communication skills across technical and non-technical stakeholders
Nice to Have
- Experience building analytics or data-heavy products used by business teams
- Familiarity with GCP, BigQuery, Postgres, and Flask
- Experience with CI/CD, testing frameworks, and software lifecycle best practices
- Comfort operating in fast-paced, deadline-driven environments
To Apply for this Job Click Here
Industry Hub
HARNHAM
News & Blog
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
How Fraud Analytics Can Keep Your Money Safe
How Fraud Analytics Can Keep Your Money Safe We’ve previously written about how data analytics can help…
Resume Tips for Professionals in Risk Analytics
Resume Tips for Professionals in Risk Analytics There are a number of online guides about how to…
As Incidents Of Cybercrime Increase, How Can A Fraud Analyst Give Your Business Peace Of Mind?
Whilst it’s true that cybercriminals are becoming more creative and sophisticated, as are analytical techniques and the experts that wield them. Fraud Analysts…
What Skills And Attributes Do You Need To Become A Risk Analyst?
No business is risk-free and as we traverse a highly technical and ever-evolving working landscape, the number of areas where problems, perhaps even crises, may…
Risk Analytics Landscape: 2022 | Harnham Recruitment post
2022 is set to be an interesting year for Risk Analytics. According to research, the risk analytics market is expected to be worth around $54.95bn by 2027 and…
How Big Data and Risk Analytics Can Help Fight Climate Change | Harnham US Recruitment post
Data is all around us. We use it to calculate our calories and our steps to ensure a healthy body. We use it track our packages and ensure delivery to the right…
Key Fraud Trends: How to Stay Safe in the Changing Fraudscape | Harnham Recruitment post
Sharing and collecting data is part of our everyday lives. Whether our information is shared over social media, e-commerce sites, banks, or elsewhere, this can…
A new way to pay- Fintech innovation at the point of sale | Harnham Recruitment post
Instant transfers, real-time payments, virtual banks, and digital currencies – these are just a few of the ways fintech innovation has been booming in the last…
Why choose a career in credit risk | Harnham US Recruitment
Credit Risk Analyst | Has your education and work experience have given you solid skills in diligence, quantitative analysis, computer software and communication?
How marketing analytics works for banks | Harnham Recruitment post | Harnham Recruitment post
Martin Brennan, Customer Insight Manager with Permanent TSB discusses how Customer intelligence software helps | Credit Card Marketing Analytics..
Get in touch
today
Can’t find the right opportunity?
If you can’t see what you’re looking for right now, get in contact anyway – we’re always getting clients through the door.
Find BRILLIANT DATA
CAREERS & MORE Data JOBS
THAN ANYONE ELSE
- APPLY RIGHT NOW
Harnham is one of the leading data recruitment companies in the world, and we are dedicated to helping data professionals find their ideal data job.
We're proud to have access to a global network of top employers and recruitment partners, and our team specialize in connecting data professionals to the right data and analytics career opportunities.
Whether you're looking for an entry-level data job or a senior-level analytics position with a top employer, we have the right opportunity for you. Search now to find the perfect data job to match your technical skills and industry experience.
We also provide a variety of career support services, such as resume and interview preparation, to help data professionals get the most out of their job searches. Follow us on LinkedIn for all the latest news and content: