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
Data Wrangler
London
£600 - £750
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
DATA WRANGLER
3-MONTHS
£600 – £750 PER DAY – INSIDE IR35
HYBRID – LONDON
This is an exciting opportunity for a highly analytical and detail-driven Data Wrangler to support a major forensic data analytics project. You’ll be working with a specialist team to ingest, clean, and compare massive datasets from multiple complex systems – some sources containing hundreds of millions of records. The ideal candidate will thrive in ambiguity, work independently, and apply a forensic lens to messy, unstructured operational data.
THE COMPANY
You’ll be working with a globally recognised advisory firm, known for its work in forensic investigations, compliance, and financial disputes. This team operates in a highly confidential environment, supporting projects with national-level visibility. You’ll be joining a collaborative, focused, and expert-led group engaged on a high-stakes piece of work.
THE ROLE
You’ll play a hands-on role working with data received from external clients-often incomplete, inconsistent, or raw. Your job is to wrangle that data into usable form, run forensic-level comparisons, and support reporting back to clients. You’ll work in a secure VDI environment and must be comfortable navigating complex and sensitive data.
Key responsibilities include:
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Ingesting and transforming large datasets (100M+ rows), from Oracle, SQL Server, and flat files (CSV, XML).
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Writing and reviewing SQL and Python (Pandas) scripts to clean and join data across multiple sources.
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Conducting forensic comparisons between data sources (e.g., matching millions of XML records to transactional logs).
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Supporting peer code reviews to ensure high quality and reduce rework.
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Working within a locked-down environment using tools like VS Code, SQL clients, and secure remote desktop environments.
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Collaborating with data consultants and forensic analysts to troubleshoot logic and ensure audit-quality outputs.
KEY SKILLS & REQUIREMENTS
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Strong SQL (T-SQL, Oracle, or PostgreSQL) – must be comfortable with complex joins and large volumes
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Python with Pandas – mandatory for data transformation and wrangling
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Experience working with large operational databases, text files, and legacy data sources
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Strong attention to detail and a forensic mindset – ability to spot inconsistencies, gaps, and unusual data behaviour
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Prior experience in a regulated, sensitive, or secure data environment is a big plus
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Previous work in or alongside large consultancy firms
HOW TO APPLY
Please register your interest by sending your CV via the apply link.
To Apply for this Job Click Here
Lead Product Manager
London
£90000 - £110000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Lead Product Manager
London. Up to 110000 base plus bonus and benefits.
This is a rare opportunity to take ownership of AI and machine learning product strategy within a high-growth consumer fintech. You will lead the discovery, scoping and implementation of intelligence-led experiences across a platform used by more than a million customers, with full autonomy to shape how AI enhances journeys, recommendations and personalised guidance.
The Company
They are a mission-led consumer finance business with a rapidly scaling mobile app and a strong reputation for customer-centric product design. After significant growth, they are now investing heavily in AI and ML for the first time and are building out new capabilities to deliver more personalised, context-aware experiences. You will join a collaborative product organisation based in London, working closely with engineering, data and decisioning teams.
The Role
You will:
* Define where and how AI and ML can be applied across the customer journey to drive personalisation and intelligent guidance.
* Lead end-to-end product management, from problem identification through to delivery and measurement.
* Provide strategic direction to teams with limited AI experience and champion best practices.
* Partner with engineering, design, data and decisioning teams to scope opportunities and define requirements.
* Drive systems-level thinking across journeys, ensuring intelligence is embedded consistently and effectively.
* Influence senior stakeholders and shape the long-term AI product roadmap.
Your Skills and Experience
You will bring:
* Strong experience delivering AI or ML‑enabled features in consumer mobile apps.
* A background in end-to-end product management with a focus on personalisation, recommendations or intelligent automation.
* The ability to think in systems and design experiences that span multiple journeys.
* Strong collaboration skills and confidence working with data, engineering and leadership teams.
* An individual contributor mindset with high influence and strategic ownership.
What They Offer
* Salary up to 110000 plus a 15 percent bonus and a comprehensive benefits package.
* Hybrid working with two days a week in their London office.
* High strategic impact as the first product hire dedicated to AI and ML.
* The chance to shape greenfield AI capability across a major consumer platform.
How to Apply
If you are a consumer-facing Product Manager with experience delivering AI or ML features and want to take ownership of a transformative roadmap, apply today.
To Apply for this Job Click Here
Strategy Analytics Manager
London
£75000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Strategy Analytics Manager
London. Up to 90000 base plus benefits.
This is an opportunity to shape approval strategy in a fast-growing fintech environment, working closely with senior leaders to improve credit decisioning, customer conversion, and overall portfolio performance. You will join a data-first organisation where analytical thinking directly influences commercial outcomes.
The Company
They are a London-based fintech offering innovative consumer and business products, built on a modern lending and subscription-style model. The company operates with strong backing, a proven path to profitability, and a growing international footprint. Data, experimentation, and strategic analytics form the basis of how they make decisions, and they are scaling their Strategy and Analytics team with high-calibre talent.
The Role
You will:
* Lead strategic initiatives focused on improving approval rates and credit decision quality across multiple product lines.
* Use strong SQL capability to interrogate complex datasets and identify drivers of risk, conversion, and performance.
* Build scalable frameworks for tracking and monitoring approval strategies.
* Partner with growth, marketing, product, and risk teams to balance commercial objectives with customer outcomes.
* Test and iterate on approval and underwriting strategies in response to market conditions.
* Present data-driven recommendations to senior stakeholders and influence key decisions across the business.
Your Skills and Experience
You will bring:
* Strong commercial experience in lending, credit risk, approvals, underwriting strategy, or similar data-led environments.
* Advanced SQL skills, including experience working directly with complex, multi-source data.
* Proven ability to use data insights to drive measurable strategy changes.
* Experience collaborating across teams and communicating with non-technical stakeholders.
* A strong quantitative or STEM background.
* Python is beneficial but not essential.
What They Offer
* Up to 90000 base salary plus benefits and share options.
* Hybrid working pattern with three days a week in the London office.
* Exposure to experienced leaders in a high-performing Strategy and Analytics function.
* Clear progression opportunities as the business continues to scale in the UK and internationally.
How to Apply
If you have strong SQL skills and experience shaping data-driven strategy in lending or analytical environments, apply today to learn more.
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
Senior Strategy and Analytics Manager
London
£90000 - £120000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Strategy and Analytics Manager
London. Up to 120000 base plus benefits.
This role offers the opportunity to own one of the most commercially critical levers in a fast-growing fintech. You will shape collections and recoveries strategy end to end, using advanced analytics to improve performance, optimise journeys, and influence how the business scales both in the UK and internationally.
The Company
They are a London-based fintech delivering innovative consumer and business products through a modern lending and subscription-style model. Built on strong financial foundations and backed by high-profile investors, they have recently undergone significant growth and continue to expand rapidly. Data sits at the heart of every strategic and operational decision, and you will join a high-performing Strategy and Analytics function with strong leadership and clear progression pathways.
The Role
You will:
* Lead the strategic development of collections and recoveries across consumer and business portfolios.
* Use SQL to interrogate complex datasets, uncover performance drivers, and identify opportunities to improve outcomes.
* Partner closely with operations, finance, engineering, and product teams to deliver scalable and commercially effective solutions.
* Develop data frameworks, tracking, and decisioning logic to support smarter risk and collections strategies.
* Drive continuous improvement across journeys, partner performance, customer segmentation, and operational design.
* Manage and mentor one direct report, supporting capability growth within the team.
* Present recommendations to senior leadership and influence strategy across the broader portfolio.
Your Skills and Experience
You will bring:
* Strong experience in collections, recoveries, credit strategy, lending analytics, or a similar data-led environment.
* Advanced SQL capability, with confidence working across complex multi-source datasets.
* A track record of using data to drive commercial and operational improvements.
* Experience collaborating with technical and non-technical teams across a fast-paced organisation.
* The ability to balance commercial, risk, and customer objectives to support sustainable growth.
* A strong quantitative or STEM background.
* Python skills are beneficial but not essential.
What They Offer
* Up to 120000 base salary plus benefits and share options.
* Hybrid working structure with three days a week in the London office.
* High visibility within an experienced Strategy and Analytics leadership team.
* The opportunity to influence a core part of the business’s unit economics at a pivotal stage of growth.
* Clear development pathways as the company expands into new markets.
How to Apply
If you have strong SQL skills and experience shaping data-driven strategies within collections, lending, or commercial analytics, apply today to learn more.
To Apply for this Job Click Here
Strategy Insights Analyst
Southampton
£40000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentSouthampton, Hampshire
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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
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Deliver analytical insight across customer acquisition, decisioning, account management and collections
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Support operational and strategy teams with data-led recommendations
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Work on end-to-end analytical projects: data extraction, analysis, insight and stakeholder reporting
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Translate complex analysis into clear, practical outputs for non-technical audiences
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Contribute to the development of operational strategy and performance optimisation
What they’re looking for
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2+ years’ experience in an analytical role (financial services preferred)
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Strong SQL skills and experience with a data visualisation tool
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Evidence of owning analytical work from problem definition to business impact
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Commercially minded, curious and comfortable working in a fast-moving environment
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Strong communication skills and a collaborative working style
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UK experience required (no sponsorship available)
Why consider it
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Broad exposure across multiple business areas rather than a narrow reporting role
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High visibility with senior stakeholders
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Growing analytics team with clear progression opportunities
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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
Senior Data Scientist
London
£50000 - £75000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
SENIOR DATA SCIENTIST
LONDON- HYBRID
UP TO £75,000
I’m currently working with a leading UK fintech that is looking to bring in a Senior Data Scientist to join their growing decision science team.
You’ll be responsible for developing and deploying models that support underwriting decisions, pricing strategies, and fraud detection, working closely with product, engineering, and risk teams to ensure models are robust, scalable, and delivering commercial value.
THE ROLE
- Develop and enhance credit risk models, including scorecards and machine learning models for underwriting and portfolio management
- Build pricing models and optimisation strategies to support customer acquisition and portfolio profitability
- Design and improve fraud detection models to identify suspicious activity and reduce financial losses
- Work closely with product, risk, and engineering teams to deploy models into production
- Analyse large datasets to uncover insights that inform decisioning strategies
- Monitor model performance and drive continuous model improvements
REQUIREMENTS
- Strong experience developing credit risk, fraud, or pricing models within financial services or fintech
- Strong programming experience in Python (pandas, scikit-learn, XGBoost etc.)
- Solid SQL skills and experience working with large datasets
- Good understanding of machine learning and statistical modelling techniques
HOW TO APPLY
Please send your application below or reach
To Apply for this Job Click Here
Senior Credit Risk Analyst
£70000 - £80000
+ Risk Analytics
PermanentEngland
To Apply for this Job Click Here
Senior Credit Risk Analyst
£70,000-£80,000 + equity
UK-based / Fully remote (occasional optional co‑working meetups)
Harnham are working with a high‑growth fintech scale-up that provides risk analytics and decisioning, helping their customers reduce exposure, unlock growth and scale into new markets.
THE COMPANY
- A high‑growth fintech scale-up building advanced analytics and decisioning solutions for the wider payments and financial services ecosystem.
- The business combines data science, automation and modern engineering to help clients improve risk visibility, streamline onboarding processes and enhance operational efficiency.
- With strong investment backing and a globally distributed team, they are continuing to expand their product suite and strengthen their UK analytics capability.
THE ROLE
You will join a growing analytics and risk team, working on a blend of credit risk, fraud analytics and machine learning projects that sit at the heart of the company’s product offering. This is a hands-on role with impact on strategy, pricing, on-boarding and merchant monitoring.
Specifically, you can expect to be involved in:
- Developing analytical solutions to optimise credit risk, fraud strategies, pricing and limits.
- Building and improving machine learning models across risk and decisioning use cases.
- Analysing large merchant datasets to support portfolio monitoring and partner reporting.
- Working with commercial and technical teams to shape decisioning engines and new product capabilities.
- Supporting bespoke partner engagements, including risk assessments and insight generation
YOUR SKILLS AND EXPERIENCE
- Experience in credit risk and/or fraud analytics within financial services or fintech.
- Strong capability in Python and/or SQL for analytics and model development.
- Background in data-driven strategy, modelling or decisioning (circa 2-3+ years’ experience).
- Comfortable working in a fast-paced, product-focused environment.
- Ability to communicate insights clearly to technical and non-technical stakeholders.
THE BENEFITS
- Fully remote working.
- Private medical cover (including family cover).
- Regular global company meetups.
- Pension scheme and strong long-term business stability.
THE PROCESS
- Initial 30-minute introduction and CV walk through.
- Technical case study (SQL and problem-solving).
- Interviews with senior stakeholders.
- Final HR stage.
HOW TO APPLY
Please register your interest via the apply link on this page.
To Apply for this Job Click Here
AI Engineer
City of London
£80000 - £90000
+ Data Science & AI
PermanentCity of London, London
To Apply for this Job Click Here
Principal AI Engineer – South West London (1-2 days a week)
GCP REQUIRED
We are working with a growing, tech-driven insurance company looking for an AI Engineer to help build and deploy production-grade AI systems. You’ll play a key role in shaping AI‑first products, developing end‑to‑end agents, and creating robust evaluation and monitoring frameworks.
Responsibilities:
- Build and operate AI-powered products that deliver measurable outcomes.
- Develop production-ready AI agents on GCP, including secure API integrations.
- Integrate agent capabilities into applications using MCP servers and supporting tools.
- Develop reliable RAG pipelines, including ingestion, chunking, metadata and vector search.
Required:
- Strong Python skills for backend, APIs, testing and async patterns.
- Practical experience with LLMs, embeddings, prompt/function calling and vector databases.
- Solid knowledge of GCP services (Vertex AI, BigQuery, Cloud Run/Functions) and Google’s ADK.
- Experience with document processing, text normalisation and storage systems (Postgres, Redis, GCS/BigQuery).
- Familiarity with DevOps practices: Git, CI/CD, Docker, observability and automated testing.
- A product-focused mindset and the ability to translate needs into intuitive AI workflows.
To Apply for this Job Click Here
Credit Strategy Manager – Fintech
City of London
£90000 - £100000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Credit Strategy Manager
Up to £100,000
Hybrid
London
The Company
I am hiring a Credit Strategy Manager leading consumer finance FinTech’s based in London. Within this role you will be bringing your acquisitions and ECM strategy experience to focus on driving business growth through acquisitions and revenue from existing using tools like SQL and Python alongside your credit commercial background.
The Role
As a Credit Strategy Manager, you will be:
- Developing new insights to drive optimisation of credit risk strategies.
- Detecting new trends on customer data to help increase business revenue
- Developing credit risk strategies for Acquisitions and existing customers
- Working with senior leadership to implement/improve strategy.
- Using SQL and Python daily for strategy development
Your skills and experience
To be successful as a Credit Strategy Manager, you will need:
- Experience as a credit risk strategy manager/lead
- Experience working in a fast-paced environment
- Experience developing credit risk strategies for Acquisitions
- Ideally some experience developing ECM and Collections strategies
- Experience working on unsecured lending products, like credit cards and/or loans
- Experience working with SQL and Python
- STEM Degree from a top university
Benefits
Up to £100,000 + Benefits
To Apply for this Job Click Here
Credit Strategy & Analytics Director
City of London
£130000 - £150000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Credit Strategy & Analytics Director
Up to £150,000
Hybrid
London
About the Company:
I am hiring a Credit Strategy Director for a leading lending fintech based in London. Within this role, you will be leading a team and setting up the strategies for existing customer management, to support the increase of profitability for their credit cards portfolio using tools like Python and SQL daily.
About the Role:
As a Credit Strategy Director, you will be:
- Driving insight for credit risk strategy using Python and SQL
- Detecting new trends on customer data to help increase business revenue
- Analysing both internal and external data to make strategic changes impacting growth and revenue
- Building out and leading a Credit Strategy function focusing on the ECM strategy
- Developing credit risk strategies across existing customers, like credit limit increase and decrease strategies
- Using SQL and Python daily for strategy development for the credit cards portfolio
Responsibilities:
To be successful as a Credit Strategy Director, you will need:
- Experience developing credit strategies for ECM.
- Experience working with unsecured credit portfolios
- Ideally experience working on Credit Cards
- Experience managing and leading a team for credit strategy
- Experience working with SQL and/or Python
- STEM Degree from a top university
Benefits
Up to £150,000 + Benefits
To Apply for this Job Click Here
Senior Credit Risk Analyst
Birmingham
£45000 - £55000
+ Risk Analytics
PermanentBirmingham, West Midlands
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Senior Credit Risk Analyst
Up to £55,000
Hybrid
West Midlands
The Company
I am hiring a Senior Credit Risk analyst for lending business that leads the way on all types of unsecured lending for a large consumer base across the UK. Within this role you will help drive credit risk strategy using analytics to drive companywide profitability.
The Role
As a Senior Credit Risk Analyst, you will be:
- Reporting on credit risk insights and trends to senior stakeholders
- Using analytics skills to improve credit risk strategies
- Helping manage the credit risk customer lifecycle
- Spotting trends to find new ways to increase profitability for credit risk
- Developing new credit risk strategies across the business for acquisitions and existing customers.
- Working with and presenting to senior stakeholders daily within the role.
Your skills and experience:
To be successful as a Senior Credit Risk Analyst, you will need:
- Strong experience with SAS and/or SQL
- Experience as a credit risk analyst in an analytical position
- Experience developing credit strategies for acquisitions, ECM, or collections.
- Experience working in financial services
- Strong stakeholder management & excellent communication skills
- STEM Degree from a top university
Benefits
Up to £55,000 + benefits package
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