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 specialists 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) 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 organisations such as the Securities and Exchange Commission (SEC) and must pass the Financial Industry Regulatory Authority (FINRA) exams. The US undoubtedly has a big focus on consumer protection. Data Scientists and Analysts in the US BFSI sector may also work on areas such as Risk modelling, Fraud detection, and customer segmentation. In the US job market, certification is frequently used as a pathway to career progression and success. One such example is the highly regarded Chartered Financial Analyst (CFA) certification offered by the esteemed CFA Institute. By obtaining this certification, individuals may increase their likelihood of professional advancement and garner greater opportunities for achievement.
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, optimise 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!
INDUSTRY CANDIDATES
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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 visualisation tools like Tableau or Power BI. Familiarity with statistical techniques, data modelling, 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 analyse 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 what 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 organisations make data-driven decisions, manage risks, and improve customer experience. With the vast amount of data generated by BFSI organisations, Data Science has become an essential tool to analyse 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 modelling techniques to develop predictive models that help organisations 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 modelling techniques to identify potential risks and mitigate them before they become a problem. This helps organisations minimise losses and maintain financial stability.
Another benefit of Data Science in the BFSI sector is improved customer experience. By analysing customer data, organisations can understand their preferences and behaviour, and use this information to offer personalised products and services that meet their needs.
Data Science is imperative in the BFSI sector. By helping organisations 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, analysing, and visualising large amounts of data to provide insights that help BFSI organisations 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 organisations 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 modelling, Analytics, and visualisation 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 organisation. They play a critical role in helping BFSI organisations 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 organisations 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 organised, 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 organisation, 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 organisation's goals and objectives.
However, it's not just about crunching numbers and analysing 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 organisation. 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 organisations to make informed decisions in the face of uncertainty.
BFSI organisations 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 maximisation.
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 modelling, 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 organisational success. You will help identify potential risks and opportunities, guide decision-making, and keep organisations competitive in today's ever-changing business landscape. Expect the unexpected, analyse 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 behaviour, preferences, and needs. Armed with these invaluable insights, organisations 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 behaviour and preferences takes centre stage. Thus, Customer Analytics roles emerge as pivotal pillars, empowering organisations 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 modelling, and a maestro in data visualisation. 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 organisations. Your prowess in unearthing customer behaviour, 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 Banking
DATA JOBS
Senior Credit Risk Analyst
London
£60000 - £100000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Senior Credit Risk Analyst
London
£60,000 to £100,000
This is a high impact opportunity to shape credit strategy within a fast growing fintech environment. You will work with complex, real world datasets and have genuine ownership over lending decisions, contributing directly to the growth and evolution of a modern financial platform.
The Company
They are a scaling, venture backed fintech operating at the intersection of financial services and technology. The business partners with large organisations to deliver digital financial solutions to a broad user base, with a strong emphasis on accessibility and responsible lending. With continued investment and international expansion underway, they are building out their data and analytics capabilities to support growth. The environment is collaborative, fast paced, and focused on using data to drive better outcomes.
The Role
- Defining and optimising credit risk strategies across evolving lending products
- Using SQL driven analysis to extract insights from complex behavioural datasets
- Developing and refining affordability and risk policies
- Collaborating with cross functional teams to implement and scale strategies
- Monitoring performance and driving continuous improvement across the lending portfolio
- Contributing to the development of new products and credit capabilities
Your Skills and Experience
- Strong commercial experience in credit risk analytics or strategy within consumer lending
- Proven ability to translate data into actionable insights and strategy
- Advanced SQL skills, with Python as a desirable addition
- Experience within unsecured lending products such as personal loans or credit cards
- Ability to structure complex problems and communicate clearly with stakeholders
- FinTech experience is a plus
What They Offer
- Base salary up to £100,000, depending on experience
- Equity package with long term growth potential
- Hybrid working model with three days per week in the London office
- Comprehensive benefits including private healthcare and flexible benefits schemes
- Clear progression opportunities within a scaling data and risk function
To Apply for this Job Click Here
Senior Fraud Analyst
£40000 - £50000
+ Risk Analytics
PermanentLancashire
To Apply for this Job Click Here
Senior Fraud and Financial Crime Analyst
Lancashire
Up to £50,000
This is a high-impact opportunity to play a key role in the launch of a new credit card product within a growing financial services environment. You will be central to shaping fraud strategy from the ground up, using data and analytics to drive decision-making and optimise controls in a fast-paced, evolving setting.
The Company
They are a scaling financial services business operating within a wider consumer ecosystem, combining the agility of a newer entity with the backing of an established group. The organisation focuses on delivering flexible payment solutions and enhancing customer experience through innovation and data-led insight. With strong growth plans and ongoing investment, they offer a dynamic environment where you can make a tangible impact. Teams are empowered to take ownership, move quickly, and drive meaningful change.
The Role
- Analyse transaction data to identify fraud trends, anomalies, and risk drivers
- Develop and optimise fraud rules, controls, and decisioning strategies
- Produce dashboards and reporting to support governance, regulatory compliance, and commercial insight
- Support the launch and optimisation of a new credit card product
- Conduct detailed analysis across card transactions and emerging fraud typologies
- Test and validate fraud models, rules, and new solutions ahead of deployment
- Collaborate with product, technology, operations, and compliance teams to deliver fraud strategy
- Translate complex data into actionable insights that influence business decisions
Your Skills and Experience
- Strong commercial experience in card fraud analytics within a payments or financial services environment
- Solid understanding of card schemes, transaction lifecycles, and regulatory frameworks
- Advanced data analysis capability using SQL or Python
- Experience working with fraud rules, alerts, and optimisation strategies
- Familiarity with fraud platforms such as Featurespace, FICO, or similar tools
- Ability to interpret complex datasets and communicate insights clearly to stakeholders
- Proactive approach with a focus on problem-solving and continuous improvement
What They Offer
- Salary up to £50,000 plus a competitive benefits package
- Hybrid working with flexibility following the initial onboarding period
- Clear progression opportunities within a growing fraud and analytics function
- Exposure to major product launches and strategic initiatives
- Collaborative environment with strong internal mobility and development opportunities
To Apply for this Job Click Here
Lead Credit Risk Analyst
London
£80000 - £90000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
LEAD CREDIT RISK ANALYST
UP TO £80,000-£90,000 PLUS SHARES
LONDON
HYBRID WORKING (3 DAYS PER WEEK IN-OFFICE)
Shape the credit strategy behind a fast-growing fintech transforming how people access and manage financial products. In this lead role, you’ll use rich data to drive real lending decisions, influence product innovation, and deliver better outcomes for customers. It’s a chance to step into genuine ownership within a scaling, analytics-driven environment.
THE COMPANY
This organisation is a fast-scaling fintech business focused on delivering innovative financial products through employer partnerships. They leverage rich customer and transactional data to drive responsible lending, affordability, and financial insight solutions. With continued investment and growth, they are expanding their analytics capability to support new product development and international scaling.
THE ROLE
As a Lead Credit Risk Analyst, you will play a key role in shaping and optimising credit strategy across a growing unsecured lending portfolio. You will work closely with cross-functional teams to deliver data-driven decisions and improve risk performance.
Specifically, you can expect to be involved in the following:
- Defining and optimising credit strategies in line with commercial objectives
- Analysing data to generate insights and support key business decisions
- Partnering with product and engineering teams to implement strategies
- Monitoring performance and identifying opportunities to enhance credit outcomes
- Supporting the development of affordability and responsible lending policies
SKILLS AND EXPERIENCE
The successful Lead Credit Risk Analyst will have the following skills and experience:
- Strong SQL skills with the ability to work with large datasets
- Experience in credit risk analytics within a consumer lending environment
- Ability to translate complex data into clear, actionable insights
- Experience with unsecured lending products such as loans or credit cards
- Strong communication skills and ability to work with non-technical stakeholders
- Python experience is beneficial but not essential
BENEFITS
The successful Lead Credit Risk Analyst will receive a salary up to £80,000-£90,000 as well as shares in the company.
To Apply for this Job Click Here
Strategy Manager
London
£75000 - £90000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
STRATEGY MANAGER
UP TO £75,000-£90,000 PLUS BONUS
LONDON
HYBRID WORKING (3 DAYS PER WEEK IN-OFFICE)
Be part of a mission-driven business redefining how people access technology, using data and strategy to unlock smarter, more sustainable growth. You’ll play a key role in improving strategy while protecting the long-term health of the business.
THE COMPANY
A fast-growing, data-led scale-up operating within a highly competitive, consumer-focused digital marketplace. The business combines advanced analytics with a strong commercial focus to drive growth and decision-making, and is entering an exciting phase of expansion following recent investment. It offers a dynamic environment for individuals looking to make a measurable impact in a scaling organisation.
THE ROLE
This role sits within a high-performing strategy and analytics function, focused on improving approval rates while balancing risk and growth. You will lead data-driven initiatives that directly impact commercial performance across both consumer and business products.
Specifically, you can expect to be involved in the following:
- Leading strategic projects to optimise approval rates using advanced decisioning systems
- Using SQL and analytics to investigate performance drivers and identify opportunities for growth
- Designing scalable data frameworks and tracking systems to support decision-making
- Collaborating cross-functionally with product, engineering, marketing, and risk teams
- Enhancing decisioning logic and integrating new data sources to improve outcomes
SKILLS AND EXPERIENCE
The successful Strategy Manager will have the following skills and experience:
- Strong experience in analytics, strategy, or data-focused roles within a data-rich environment
- Advanced SQL skills with the ability to interrogate and manipulate complex data sets
- Proven ability to use data insights to solve business problems and support decision-making
- Experience working with multiple data sources and building scalable analytical solutions
- Strong communication skills, with the ability to explain technical insights to non-technical stakeholders
BENEFITS
The successful Strategy Manager will receive a salary up to £75,000-£90,000 as well as a comprehensive benefits package.
To Apply for this Job Click Here
VP AI Engineer
New York
$200000 - $220000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
VP AI Engineer
$220K base + bonus + RSU
New York or San Francisco
A global financial technology organisation operating at enterprise scale, combining advanced software engineering, data science, and applied AI to modernise large-scale production systems. The company invests heavily in automation, operational excellence, and AI-driven infrastructure, building mission-critical platforms used across complex, high-reliability environments.
Mission
- Design and deploy agentic AI systems to automate and optimise large-scale production environments
- Build LLM-powered solutions that diagnose issues, reason over complex systems, and take secure, auditable actions
- Develop RAG pipelines and domain knowledge systems with strong data quality, feedback loops, and governance
- Productionise LLMs: evaluation frameworks, prompt orchestration, response validation, self-correction loops
- Integrate AI agents with observability, incident management, deployment, and runtime platforms
- Implement safety, reliability, and compliance guardrails (policy enforcement, rollback strategies, circuit breakers)
- Optimise performance, cost, and latency through prompt engineering, caching, routing, batching, and streaming
Profile
- Bachelor’s degree in a quantitative or computational field (Master’s / PhD preferred)
- 7+ years of experience in applied ML, data science, or software engineering in production environments
- Strong hands-on development in Python (or C++ / Java / Go), building large-scale applications
- Practical expertise with LLMs: prompt engineering, fine-tuning/adaptation, RAG, tool-calling agents, vector search
- Experience building secure, explainable, and reliable AI systems with strong governance and auditability
- Comfortable collaborating across engineering, infrastructure, and operations teams with measurable business outcomes
To Apply for this Job Click Here
Lead Credit Risk Analyst
£60000 - £66000
+ Risk Analytics
PermanentLeicestershire
To Apply for this Job Click Here
Role Title
Lead Credit Risk Analyst
Salary
£60,000-£66,000
Location + work pattern
Leicester (1 day per week in office, occasional additional team days)
THE COMPANY
This organisation is a well-established consumer lending business with a strong presence in the UK market. They operate a data-driven credit risk function focused on sustainable growth, innovation, and continuous improvement across their customer proposition.
THE ROLE
This role sits within a growing credit risk team and focuses on developing and optimising lending strategies, particularly within credit limit management and customer portfolios. You will play a key role in strategic initiatives, working across teams to improve performance and customer outcomes.
Specifically, you can expect to be involved in:
- Developing and optimising credit risk strategies across existing customer portfolios (ECM)
- Leading projects focused on credit limit management and lending policy improvements
- Delivering portfolio analysis, MI reporting, and customer trend insights
- Supporting model implementation, including behavioural scorecards and decision systems
- Collaborating with wider teams to test, implement, and refine strategy changes
YOUR SKILLS AND EXPERIENCE
- Proven experience within credit risk analytics in consumer lending (e.g. cards, loans, or mortgages)
- Strong background in ECM or acquisitions strategy, including lending policies or limit strategies
- Experience working on credit limit management or similar portfolio strategy initiatives
- Proficiency in SQL (or similar analytical tools)
- Strong communication skills, with the ability to present insights to both technical and non-technical stakeholders
THE BENEFITS
- Clear progression opportunities within a growing analytics team
- Exposure to broad, high-impact strategic projects
- Collaborative environment with a strong focus on learning and development
- Flexible working structure with limited office requirements
THE PROCESS
- Initial 30-minute interview
- Technical stage including coding task and presentation
- Final interview with additional technical discussion
- Offer!
HOW TO APPLY
Please register your interest via the apply link on this page.
To Apply for this Job Click Here
Senior Consultancy Manager
Leeds
£100000 - £120000
+ Risk Analytics
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
SENIOR CONSULTANCY MANAGER
UP TO £100,000-£120,000 PLUS BONUS
LEEDS
HYBRID WORKING (2 DAYS PER WEEK IN-OFFICE)
Are you looking for an opportunity to step into a high-impact, client-facing role where you can lead complex analytics engagements and influence strategic decision-making? This position offers the chance to work at the forefront of data-driven consulting, partnering with leading financial services organisations to deliver commercial outcomes and shape a growing advisory practice.
THE COMPANY
This organisation is a well-established global provider of data, analytics, and decisioning solutions, working with clients across banking, fintech, payments, and broader consumer markets. They are investing heavily in building out a high-impact advisory and consulting capability, helping clients translate data into measurable commercial outcomes.
THE ROLE
This is a senior, client-facing role leading end-to-end analytics consulting engagements while helping shape and grow a new consulting practice. You will act as a trusted advisor to senior stakeholders, combining delivery leadership with commercial contribution.
Specifically, you can expect to be involved in the following:
- Leading analytics-driven consulting projects from problem definition through to implementation and value realisation
- Managing senior stakeholder relationships across financial services clients
- Translating complex analytical outputs into clear, commercial recommendations
- Supporting business development through proposals, pitches, and client engagement
- Collaborating with data science and analytics teams to deliver scalable, high-quality solutions
SKILLS AND EXPERIENCE
The successful Senior Consultancy Manager will have the following skills and experience:
- Strong background in analytics or data-led consulting within financial services, fintech, or payments
- Experience leading client engagements and managing senior stakeholders
- Ability to translate technical insights into strategic, commercial outcomes
- Knowledge of credit risk, customer lifecycle, fraud, pricing, or segmentation analytics
- Familiarity with analytical tools such as SQL or Python (hands-on experience beneficial)
BENEFITS
The successful Senior Consultancy Manager will receive a salary up to £100,000-£120,000 as well as a comprehensive benefits package.
To Apply for this Job Click Here
Senior Manager – Consultancy
London
£100000 - £120000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Senior Engagement Manager – Analytics Consulting
London or Leeds
£100,000 – £120,000
This is a high impact opportunity to join a growing analytics consulting capability within a global data driven business. You will lead client engagements, shape solutions, and play a key role in building a consulting practice with clear progression into leadership.
The Company
They are an established, international organisation specialising in data, analytics and decisioning. They consult with major financial services and fintech clients to solve complex commercial challenges. They are investing in expanding their advisory offering, moving beyond products into end to end consulting. This creates the opportunity to help shape a new and growing function.
The Role
- Lead analytics consulting projects end to end
- Act as the main client contact for senior stakeholders
- Translate data into clear commercial recommendations
- Work with data science and analytics teams to deliver solutions
- Support proposals, pitches and client discussions
- Contribute to building the consulting practice
- Deliver projects across credit risk, pricing, fraud and customer strategy
Your Skills & Experience
- Experience in analytics or data led consulting within financial services, fintech or payments
- Strong stakeholder management and client facing delivery
- Ability to turn analytics into commercial outcomes
- Background in credit risk, customer analytics or related areas
- Exposure to SQL, Python or similar tools
- Consulting experience is essential
What They Offer
- £100,000 – £120,000 base salary + bonus
- Hybrid working with client exposure
- Opportunity to shape a growing consulting function
- Clear progression into leadership roles
- Strong benefits and development opportunities
To Apply for this Job Click Here
Head of Strategy and AI (FS)
London
£90000 - £150000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Head of Strategy and AI (FS)
London (on-site 3 days per week)
£90,000 to £150,000 – dependent on level
This is a senior leadership role at the centre of an organisation-wide shift towards insight-led decision-making and AI-enabled analytics. You will shape how analytics operates as a shared service, influencing strategy while remaining hands-on.
The Company
They are a data-driven organisation undergoing significant transformation across analytics, reporting, and decisioning. With a strong commercial focus, they are investing in modern data platforms, automation, and AI to improve how insight is generated and used. Analytics plays a critical role in supporting growth and executive decision-making.
The Role
- Lead a centralised Analytics and MI function
- Balance strategic leadership with hands-on analytics delivery
- Move the function from reporting to actionable, commercial insight
- Embed AI tools and automation into analytics workflows
- Oversee scalable data, reporting, and governance foundations
- Line manage decisioning capability and oversee platform migration
- Influence senior stakeholders across Finance, Marketing, and leadership teams
Your Skills and Experience
- Strong leadership experience within analytics/strategy functions, ideally within financial services
- Clear examples of developing strategies off the back of data work
- Proven ability to turn data into clear commercial recommendations
- Confidence influencing senior stakeholders, including C-suite
- Hands-on capability with SQL and ideally Python
- Practical exposure to AI tools within analytics environments
What They Offer
- Salary of £90,000 to £150,000
- Bonus
- Private health insurance
- Pension scheme
- 25 days holiday
- High visibility role with significant influence and progression
To Apply for this Job Click Here
Head of Analytics
London
£90000 - £150000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Head of Analytics
Salary
£90,000-£150,000 + bonus + benefits
Location + work pattern
London (Hybrid – 2-3 days in office)
THE ROLE
This is a senior leadership opportunity to build and lead a centralised Analytics & MI function operating as a shared service across multiple business areas. The role blends strategic direction with hands-on delivery, with a strong focus on turning data into actionable commercial insight.
Specifically, you can expect to be involved in:
- Leading and developing a high-performing analytics function, including managers and analysts
- Driving the shift from reporting to insight-led, decision-ready analytics across the business
- Embedding AI tools and automation into analytics workflows to enhance efficiency and impact
- Overseeing scalable data models, reporting automation, and governance frameworks
- Acting as a senior stakeholder partner, influencing priorities and delivering commercially relevant insight
YOUR SKILLS AND EXPERIENCE
- Proven experience leading Analytics or MI teams in a complex business environment
- Strong ability to translate data into clear, commercially actionable recommendations (“so what” thinking)
- Experience engaging and influencing senior stakeholders, including executive-level leaders
- Hands-on technical capability with SQL; Python or similar tools beneficial
- Familiarity with modern data platforms and visualisation tools (e.g. cloud data warehouses, BI tools)
- Understanding of AI tools and how they can be applied within analytics workflows
THE BENEFITS
- Competitive salary with performance-based bonus
- Private healthcare and pension contribution
- Generous annual leave allowance
- Opportunity to shape a modern, AI-enabled analytics function
- High visibility role with direct exposure to senior leadership
THE PROCESS
- Initial screening
- Interview with senior leadership
- Technical case study and presentation
- Final panel interview
HOW TO APPLY
Please register your interest via the apply link on this page.
To Apply for this Job Click Here
Senior Collections Analytics Manager
London
£90000 - £120000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Senior Collections Analytics Manager
London
£90,000 to £120,000 plus benefits.
This is a high impact opportunity to take ownership of a critical area within a fast growing, data led business. You will shape collections and recoveries strategy, influence core commercial outcomes, and partner directly with senior leadership. With strong backing, proven profitability, and international expansion underway, this role offers both immediate impact and long term career growth.
The Company
They are a high growth, data driven organisation focused on delivering innovative financial solutions to both consumers and businesses. With a strong emphasis on sustainability and responsible business practices, they are building a scalable model supported by leading institutional investors. Having recently achieved profitability, they are now entering a new phase of growth, expanding internationally and strengthening their analytics capability. The team attracts talent from leading fintech and data environments and places analytics at the centre of decision making.
The Role
You will lead strategy and analytics across collections and recoveries, owning performance and driving continuous improvement through data.
- Develop and optimise collections and recoveries strategies to improve performance and unit economics
- Use advanced SQL to interrogate complex, multi source datasets and identify actionable insights
- Partner with operations, finance, product, and engineering teams to deliver data driven solutions
- Own key initiatives across customer journeys, operational processes, and partner strategy
- Translate analysis into clear recommendations that influence senior stakeholders
- Manage and develop a direct report while contributing to the wider analytics function
- Support broader strategic projects across both consumer and business segments
Your Skills and Experience
- Strong commercial experience in collections, credit risk, lending, or related analytics environments
- Advanced SQL capability, with confidence working directly with complex and varied data sources
- Proven track record of using data to drive decision making and measurable business outcomes
- Experience balancing commercial trade offs across multiple stakeholders
- Comfortable working cross functionally in a fast paced environment
- Exposure to Python or similar tools is beneficial but not essential
- Experience within fintech, financial services, or other data rich industries is advantageous
What They Offer
- Salary of £90,000 to £120,000
- Hybrid working, typically three days per week in the London office
- Opportunity to work with a high calibre leadership team in a scaling business
- Strong career progression within a growing analytics function
- Exposure to high impact, strategic work across multiple markets
- Competitive benefits package including equity potenti
To Apply for this Job Click Here
Senior Credit Risk Analyst
London
£60000 - £75000
+ Risk Analytics
PermanentLondon
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SENIOR CREDIT RISK ANALYST
UP TO £60,000-£75,000 PLUS BONUS
LONDON
HYBRID WORKING (2-3 DAYS PER WEEK IN-OFFICE)
Are you looking for an exciting opportunity to join a high-growth, data-led fintech where you can take real ownership of credit strategy and drive commercial impact? This role offers the chance to lead on key lending decisions, working across products to optimise performance through advanced analytics and strategic insight.
THE COMPANY
This organisation is a well-established UK-based digital bank and lending provider, known for its strong growth, customer-centric approach, and innovative use of data. With a broad suite of lending products, they invest heavily in advanced analytics, technology, and data science to stay ahead in the market.
THE ROLE
This role sits within a central credit strategy function, supporting key lending products through data-driven decision-making. You will work on building and optimising credit strategies, influencing business performance, and collaborating cross-functionally.
Specifically, you can expect to be involved in the following:
- Designing and optimising credit strategies and decisioning processes
- Analysing large datasets to identify trends and opportunities for performance improvement
- Developing models and forecasts to support lending, pricing, and commercial decisions
- Partnering with product, data science, and engineering teams to implement strategies
- Monitoring portfolio performance and recommending data-led enhancements
SKILLS AND EXPERIENCE
The successful Senior Credit Risk Analyst will have the following skills and experience:
- Experience in credit risk analytics within consumer lending
- Strong SQL and/or Python skills for data manipulation and analysis
- Ability to interpret data and communicate insights clearly to stakeholders
- Experience working with credit strategy, policy, or decisioning frameworks
- Strong problem-solving skills with a structured and analytical approach
BENEFITS
The successful Senior Credit Risk Analyst will receive a salary up to £60,000-£75,000 as well as a comprehensive benefits package.
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