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 Valuations Manager
London
£120000 - £150000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Senior Valuations Manager
London
£120,000 to £150,000 plus benefits.
This is a high impact leadership role where you will shape how valuation and NPV models are designed and used across a modern consumer lending business. You will move beyond traditional approaches, embedding sophisticated valuation models directly into credit decisioning and strategy.
The Company
They are a fast growing, profitable digital financial services organisation operating across multiple consumer lending and banking products. With significant investment in analytics and technology, they place strong emphasis on data driven decision making. Valuations sit at the heart of their growth strategy.
The Role
- Set the strategic direction for valuation, NPV and IRR modelling across lending products
- Build and evolve account level valuation models used in live decisioning
- Partner with Credit Risk, Product, Finance and Impairment teams
- Lead and develop a team of credit analysts with close links to data science
- Drive innovation in valuation methodology and modelling infrastructure
Your Skills & Experience
- Strong commercial experience in valuation, NPV and IRR modelling within consumer lending
- Proven ability to build models from first principles
- Strong conceptual thinker with confidence to challenge existing approaches
- Python experience within modelling environments
- Effective people leadership and senior stakeholder management
What They Offer
- Salary of £120,000 to £150,000 plus benefits
- Hybrid working with flexibility
- High visibility role with genuine influence on credit and growth strategy
- Clear scope for career progression
To Apply for this Job Click Here
Principal Data Engineer
Leeds
£70000 - £80000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
PRINCIPAL DATA ENGINEER
£80,000 + BENEFITS
LEEDS (Hybrid)
Looking for a role where you can truly influence how data engineering is done-while still getting stuck into the tech yourself?
THE COMPANY:
I’m working with a central data function in the financial services industry that’s undergoing a full modernisation of their data platform. They’ve got technically advanced teams across the wider business and are now building out a core engineering team to unify, elevate and support that community.
THE ROLE:
It’s a strategic, hands-on role where you’ll work closely with DevOps, Product, and business partners to unlock the value of data through modern, secure and governed pipelines.
- Lead hands-on development work using Azure, Databricks, and Terraform (IaC)
- Support the migration from legacy platforms to a more modern cloud stack
- Act as a mentor and technical guide to the wider engineering team
- Implement data governance requirements
- Collaborate with non-technical stakeholders to ensure delivery aligns to business needs
- Stay close to the ML lifecycle
YOUR SKILLS AND EXPERIENCE:
A successful Principal Data Engineer will have the following skills and experience:
- Strong hands-on experience with Azure
- Proficient in Databricks
- Skilled in Terraform and Infrastructure as Code practices
- Exposure to containers/Kubernetes
- Awareness of ML Ops concepts
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £80,000 On top of the salary there are some fantastic extra benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Seniot Credit Pricing Manager
Liverpool
£75000 - £89000
+ Risk Analytics
PermanentLiverpool, Merseyside
To Apply for this Job Click Here
Senior Credit Pricing Manager
Liverpool
£75,000 to £89,000
This is a high impact leadership role for a senior credit pricing professional who wants to shape how pricing is done at scale. You will step into a newly formed commercial analytics function with the remit to modernise credit pricing, influence senior decision making, and build a clear link between customer outcomes, risk and long term profitability.
The Company
They are a large scale UK consumer business operating at the intersection of digital commerce and regulated financial services. With millions of active customers and a strong focus on flexible payment and credit products, data sits at the heart of how they acquire, retain and support customers. Following recent investment and strong financial performance, they are continuing to invest heavily in analytics, pricing and decision science.
The Role
You will take ownership of credit pricing strategy across customer acquisition and lifecycle pricing, with responsibility for both commercial performance and fair value outcomes. Key responsibilities include:
- Defining and delivering pricing strategies across credit products, balancing growth, risk and customer value
- Owning pricing and fair value governance and representing pricing in senior forums and committees
- Setting and managing valuation frameworks including NPV, IRR and risk adjusted margins
- Using data, forecasting and experimentation to optimise pricing performance
- Translating complex analysis into clear recommendations for senior stakeholders
- Leading and developing a team of analysts and data scientists within a growing commercial analytics function
- Partnering with product, risk, analytics and engineering teams to improve data quality and pricing capability
Your Skills and Experience
- Strong commercial experience within credit, lending or wider financial services pricing
- Deep understanding of unit economics and lifetime value decision making
- Experience designing and interpreting pricing tests and experimentation such as A B testing
- Ability to build and challenge pricing and cashflow models, even if not hands on day to day
- Confident stakeholder management skills with the ability to influence at senior level
- Proven people leadership experience and a first principles approach to problem solving
- Backgrounds from credit, lending, debt, finance or analytically mature retail environments are all of interest
What They Offer
- Company bonus scheme
- Private medical
- 30 days holiday plus bank holidays
- Pension scheme
To Apply for this Job Click Here
AI Consultant
London
£80000 - £85000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
AI CONSULTANT
UP TO £85,000 + BENEFITS
LONDON, LEEDS OR NOTTINGHAM
HYBRID WORKING POLICY – 3 DAYS A WEEK IN OFFICE
Are you an experienced AI professional with a background in credit risk? Join a leading global credit business and play a key role in shaping how AI is used to improve lending decisions across industries.
THE COMPANY
A global credit business that provides data and analytics to help businesses make more informed lending decisions. Working with banks, fintechs, and other organisations, to deliver insights that enable better risk assessment, strategy development, and customer outcomes. Their newly established AI Lab is focused on advancing AI capabilities and embedding innovation across the business.
THE ROLE
As an AI Consultant you will focus on developing AI-driven solutions and enhancing modelling capabilities to support client projects and internal innovation.
Specifically, you can expect to be involved in the following:
- Develop and enhance AI and machine learning models, including scorecards and predictive models.
- Work on innovative use cases such as chatbots, transformers, and LLM-based applications.
- Conduct research and development to identify new AI-driven solutions in lending and risk.
- Contribute to new product development and AI-led offerings.
- Support the integration of AI into broader business processes and client solutions.
- Collaborate with data and analytics teams across locations.
SKILLS AND EXPERIENCE
The successful AI Consultant will have the following skills and experience:
- Experience in credit risk within a lender (bank, fintech) or credit reference agency.
- Strong background in model development, ideally scorecards.
- Hands-on experience with AI/ML techniques (e.g. LLMs chatbots, predictive models)
- Strong SQL and Python skills
BENEFITS
The successful AI Consultant will receive a salary up to £85,000 as well as a comprehensive benefits package.
To Apply for this Job Click Here
Data Scientist
London
£45000 - £50000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
DATA SCIENTIST
UP TO £50,000 + BENEFITS
LONDON
HYBRID WORKING POLICY – 2/3 DAYS A WEEK IN OFFICE
Join a leading insurance company as a Data Scientist, shaping how pricing strategies perform across a live portfolio. Using advanced analytics and loss‑ratio insights, you’ll challenge assumptions and refine risk selection. In doing so, you’ll directly influence how millions of customers are priced in a digital‑first environment.
THE COMPANY
This fast‑growing digital insurer is reshaping the insurance market through a technology‑led, data‑driven approach, serving millions of customers across Europe. With consistent, profitable growth and ongoing investment in advanced analytics and pricing capability, the business continues to scale at pace while maintaining a strong focus on innovation and customer value.
THE ROLE
As a Data Scientist, you will analyse how pricing decisions perform across a live portfolio, using data‑driven insights to assess whether outcomes align with pricing intent and commercial objectives.
Specifically, you can expect to be involved in the following:
- Leveraging Python, SQL, and advance analytics to interrogate portfolio performance and evaluate modelled customer segments.
- Using loss-ratio led insights to determine whether segments remain viable or require repricing, constraint, or redesign.
- Translating complex data into clear, evidence-based recommendations to influence pricing and modelling strategies.
- Collaborating cross-functionally with pricing, underwriting, and data teams to drive informed portfolio decisions.
- Challenging assumptions and contributing to the continuous improvement of pricing models and risk selection approaches.
SKILLS AND EXPERIENCE
The successful Data Scientist will have the following skills and experience:
- A strong academic background in mathematics, physics, or a related quantitative field.
- Exceptional analytical and problem-solving skills.
- Commercial awareness or interest in pricing, insurance, or customer behaviour modelling.
- Proficiency in Python.
- Strong communication skills, with the ability to explain complex ideas clearly and work collaboratively across teams.
BENEFITS
The successful Data Scientist will receive up to £50,000 as well as a comprehensive benefits package.
To Apply for this Job Click Here
Senior Credit Risk Analyst
Hertfordshire
£50000 - £60000
+ Risk Analytics
PermanentHertfordshire
To Apply for this Job Click Here
Senior Credit Risk Analyst
Hertfordshire
£50,000 to 60,000
This is a standout opportunity to take ownership of credit risk models within a growing UK credit function. You will play a key role in bringing model ownership onshore, shaping how models evolve, and influencing the wider risk strategy in a regulated financial services environment. The role offers strong exposure to senior stakeholders and the chance to build out modelling capability from the ground up.
The Company
They are a well established financial services business operating under a banking licence, providing a range of lending and insurance related products. While part of a larger international group, the UK business operates with the autonomy of a smaller organisation, offering both stability and agility. The credit function has been expanding rapidly, with clear investment in risk and modelling capability.
The Role
- Take ownership of credit risk models across PD, LGD and EAD, covering development, monitoring, validation and ongoing enhancements.
- Lead IFRS 9 model redevelopment and transition of ownership to the UK, working closely with international modelling teams.
- Deliver back testing, performance monitoring and parameter calibration to ensure robust provisioning outcomes.
- Contribute to ICAAP modelling and stress testing activity.
- Produce high quality model documentation and support audit and regulatory interactions.
- Support the longer term expansion into behavioural scorecards and other modelling areas.
Your Skills and Experience
- Strong commercial experience in credit risk modelling within a regulated financial services or banking environment.
- Hands on development experience with PD or LGD models is essential.
- Exposure to IFRS 9, stress testing or capital modelling.
- Strong statistical background with a STEM degree or equivalent quantitative training.
- Advanced SAS capability, with working knowledge of Python or similar tools.
- Confident communicator able to explain technical concepts to non technical stakeholders.
What They Offer
- Salary between 50,000 and 60,000 depending on experience.
- Hybrid working with a preference for two days per week in the office, with flexibility if needed.
- Clear scope to broaden your modelling exposure over time, including scorecards and other model types.
- The chance to influence and shape a growing credit risk function.
Apply by clicking below or emailing
To Apply for this Job Click Here
Senior Modelling Credit Analyst
£50000 - £60000
+ Risk Analytics
PermanentHertfordshire
To Apply for this Job Click Here
Role Title
Senior Modelling Credit Analyst
Salary
£50-£60k
Location + work pattern
Hertfordshire (hybrid working, with 1-2 days per week in the office
THE COMPANY
- A UK-based financial services business operating within the automotive and consumer finance space.
- Part of a larger international group, combining the stability of a global organisation with the agility of a smaller UK operation.
- Regulated under a banking licence, with an expanding credit risk and analytics capability.
THE ROLE
This role will play a key part in building out the credit risk modelling capability in the UK, with initial focus on IFRS 9 models and longer-term exposure to a broader range of credit models.
Specifically, you can expect to be involved in:
- Ownership, development, enhancement and validation of credit risk models.
- Redevelopment and ongoing management of IFRS 9 models, including PD, LGD and EAD.
- Working closely with international stakeholders to transition model ownership into the UK.
- Supporting ICAAP modelling and stress testing activity.
- Contributing to future development of scorecards and other credit models over time.
YOUR SKILLS AND EXPERIENCE
- Experience developing or owning credit risk models within a banking or regulated financial services environment.
- Strong background in IFRS 9, stress testing, provisioning or capital models.
- Hands-on experience developing PD and/or LGD models.
- Programming experience using SAS and/or Python, with confidence working in SAS-based environments.
THE BENEFITS
- Competitive salary and benefits package.
- Hybrid working with flexibility on office attendance.
- Opportunity to take full ownership of models and influence their future development.
- Exposure to a broad range of credit risk models as the team continues to grow.
THE PROCESS
- Initial online interview focused on role overview and experience.
- Technical task followed by a competency-based interview.
HOW TO APPLY
Please register your interest via the apply link on this page.
To Apply for this Job Click Here
Senior Credit Pricing Manager
Liverpool
£89000 - £90000
+ Risk Analytics
PermanentLiverpool, Merseyside
To Apply for this Job Click Here
Senior Credit Risk Manager
Salary
£85,000-£90,000 + bonus
Location + work pattern
Liverpool area | Hybrid working with flexible on-site expectations (typically 2-3 days)
THE COMPANY
- A well-established UK consumer organisation operating at national scale, with an integrated credit and payments proposition.
- The business is investing heavily in data, analytics and commercial decision-making following recent growth and transformation.
- Analytics plays a central role in shaping pricing, risk and customer value across financial products.
THE ROLE
This is a senior leadership role responsible for shaping and owning credit pricing strategy across customer acquisition and lifecycle pricing. You will lead a newly formed pricing team as pricing moves into a more commercially focused analytics function.
Specifically, you can expect to be involved in:
- Defining and delivering credit pricing strategies that balance growth, profitability and fair value.
- Developing and overseeing analytical models for pricing, forecasting and performance tracking.
- Setting valuation frameworks and metrics such as lifetime value and risk‑adjusted returns.
- Leading testing and experimentation activity to evaluate pricing changes.
- Translating complex analysis into clear, actionable recommendations for senior stakeholders.
- Working closely with analytics, product and engineering teams to improve data quality and reporting.
YOUR SKILLS AND EXPERIENCE
- Strong experience within credit, lending or financial services pricing.
- Solid understanding of unit economics and lifetime value frameworks.
- Experience designing or interpreting test-and-learn or A/B testing approaches.
- Ability to lead and develop analytics professionals.
- Confident communicator, able to influence senior stakeholders with data-led insight.
- Comfortable operating in a regulated environment with a focus on fair value and risk management.
THE BENEFITS
- Competitive base salary with annual performance bonus.
- Flexible benefits allowance, including private medical options.
- Generous holiday entitlement plus bank holidays.
- Pension with employer matching.
- Hybrid and flexible working culture.
THE PROCESS
- First stage: in-depth interview focused on commercial problem-solving and pricing experience, including a case study.
- Second stage: meetings with key stakeholders and peers, covering technical capability and competencies.
- Offer!
HOW TO APPLY
Please register your interest via the apply link on this page.
To Apply for this Job Click Here
Engagement Manager – Analytics Consulting Services
London
£100000 - £120000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Engagement Manager – Analytics Consulting (Banking / Fintech )
London / Leeds (Hybrid)
Salary up to £120,000
I’m recruiting for an Engagement Manager to join a growing analytics consulting practice, delivering high-impact, data-driven solutions to leading financial services clients.
This is a senior, client-facing role where you’ll own end-to-end delivery, shape analytical solutions, and act as a trusted advisor to senior stakeholders across banking, fintech, and payments.
The role:
- Lead complex, multi-work stream analytics engagements from scoping to delivery
- Partner with senior stakeholders to solve commercial challenges across risk, pricing, fraud, and customer experience
- Shape analytical approaches (modelling, experimentation, insight generation) and drive outcomes
- Support business development through proposals, pitches, and go-to-market strategy
- Mentor teams and help build a high-performing consulting practice
What we’re looking for:
- 10+ years’ experience in analytics consulting (financial services focus)
- Strong track record delivering data-driven outcomes in banking/fintech/payments
- Commercial mindset with experience in client growth and engagement delivery
- Excellent stakeholder management and communication skills (C-suite exposure)
- Knowledge of modern data tools (SQL/Python/BI) a plus
BENEFITS
The successful candidate will receive a competitive salary and bonus, alongside a comprehensive benefits package. This includes 26 days annual leave + bank holidays, private medical cover, a strong pension scheme, wellness days, and access to an employee share plan. You’ll also benefit from flexible/hybrid working, ongoing learning and development opportunities, and the chance to shape a growing consulting function within a global organisation.
HOW TO APPLY
Please register your interest by sending your CV to Keji Adebari via the Apply link on this page.
To Apply for this Job Click Here
Data Scientist – Credit
London
£55000 - £65000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Data Scientist – Credit Risk
£55-65,000
London
THE COMPANY
This business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market.
THE ROLE
- Work across a range of credit models within the business, predominantly scorecards and broader decisioning models
- Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business
- Own the deployment and implementation of predictive models across the product suite
- Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements
YOUR SKILLS AND EXPERIENCE:
- Essential to have experience developing predictive models, ideally within credit risk
- SQL and Python experience is essential
- Essential to have experience using Machine Learning techniques to develop non-linear models
- Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech
SALARY AND BENEFITS
- Base salary from £55-65,000
- Company pension scheme
- Private medical care
- Equity scheme
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link
To Apply for this Job Click Here
Pricing Analyst
London
£50000 - £60000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
PRICING ANALYST
UP TO £60,000 + Discretionary Bonus
LONDON
HYBRID WORKING POLICY – 3 DAYS A WEEK IN OFFICE
Are you looking to work at a successful fintech? Become a pricing analyst, building NPV models and developing pricing strategy. This is a hands-on role for someone who enjoys working with data, programming, and turning analysis into commercial decisions that improve customer outcomes and portfolio performance. If you like owning your work, building strong data foundations, and learning fast in a high-impact environment, this role will give you exposure across pricing, unit economics, and portfolio strategy.
THE COMPANY
This UK‑based fintech lender provides simple, digital finance solutions, helping customers secure loans and get pre‑approved online without impacting their credit score. The company uses technology and dealer partnerships to streamline the car‑buying journey, matching customers with vehicles and flexible finance options in a fast, user‑friendly process.
THE ROLE
As a Pricing Analyst you will work closely with colleagues across Commercial, Product, Data Science, and Engineering. You will develop and manage deterministic pricing strategies and decision rules that support responsible lending and strong originations performance.
Specifically, you can expect to be involved in the following:
- Analyse data and build pricing strategies to improve profitability, customer outcomes, and portfolio performance.
- Monitor, test, and optimise pricing models, using data insights to recommend commercial decisions.
- Run experiments (e.g. A/B testing) and scenario analyses to evaluate how pricing performs under different conditions.
- Develop financial and unit economics models to assess performance across different products, segments, and channels.
- Collaborate with cross-functional teams to translate complex analysis into clear, actionable recommendations for stakeholders.
SKILLS AND EXPERIENCE
The successful pricing analyst will have the following skills and experience:
- 2-4 years of experience in pricing, credit risk or consumer finance analytics
- Strong statistical modelling skills
- Confidence in creating reliable reusable analytical code and working with version control
- Proficiency in Python and SQL
BENEFITS
The successful pricing analyst will receive a salary up to £60,000 as well as a discretionary bonus.
To Apply for this Job Click Here
Footprint Analytics Manager
London
£60000 - £70000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
ANALYTICS MANAGER
UP TO £70,000 + BENEFITS
LONDON AND OTHER LOCATIONS
REMOTE WORKING POLICY – ONCE A WEEK IN OFFICE
Are you looking to work at one of the best insurance companies in the UK? Become a Manager, analysing how pricing decisions play out across the live portfolio and whether customer segments are delivering as intended. Use loss‑ratio led insights to steer risk selection, challenge pricing intent, and influence how millions of customers are priced across a digital‑first insurer.
THE COMPANY
This digital‑first general insurer serves millions of UK customers across personal lines products, with technology and analytics at the core of how decisions are made. The business has seen strong, profitable growth and significant headcount expansion in recent years, backed by sustained investment in advanced data science and pricing capability.
THE ROLE
As an Analytics Manager you will monitor how each modelled customer segments are performing and decide whether the actual outcome matches the pricing intent.
Specifically, you can expect to be involved in the following:
- Using loss ratio led analytics to assess whether each segment is delivering against pricing intent and remains commercially viable.
- Validating whether cohorts should remain open, be repriced, constrained or redesigned to prevent emerging portfolio risks
- Providing clear evidence-based recommendations to modelling and pricing teams to refine strategies and models.
- Defining problems, coordinating across pricing, data science, underwriting and governance, and recommending portfolio actions to leadership.
- Challenging pricing decisions where necessary and maintaining alignment with FCA expectations and internal standards.
SKILLS AND EXPERIENCE
The successful Analytics Manager will have the following skills and experience:
- 3-5 years of experience
- Insurance experience from consumer/personal lines insurers
- Pricing, underwriting or portfolio analytics experience
- Proficiency in Python or SQL
BENEFITS
The successful Analytics Manager will receive a salary up to £70,000 as well as a comprehensive benefits package.
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