BANKING
DATA RECRUITMENT

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CREDIT RISK ANALYST
£35,000 – £45,000
East Midlands

This is an excellent opportunity for an analytically minded professional to join a growing credit risk function within a well-established consumer-facing business. You’ll gain exposure to a broad range of portfolio analytics projects, work alongside experienced credit risk professionals, and have a clear pathway into credit strategy as your career develops.

THE COMPANY
This organisation is a highly successful consumer business with an established lending and customer finance offering. They have built a strong reputation for using data and analytics to drive commercial decisions and improve customer outcomes.
Joining a close-knit credit risk team, you’ll benefit from direct exposure to senior stakeholders, varied projects, and a culture that places a genuine emphasis on learning, development, and internal progression.

THE ROLE

• Analyse new and existing customer portfolios to identify trends, risks, and opportunities
• Deliver regular reporting to support business decision-making
• Conduct deep-dive investigations into customer behaviour and portfolio performance
• Generate actionable insights and recommendations from data analysis
• Work closely with senior analysts and managers on a wide range of credit risk projects
• Support the development and optimisation of credit risk strategies over time
• Present findings and recommendations to key stakeholders across the business
• This role offers the opportunity to build strong technical and commercial skills while gaining exposure to strategic credit risk decisions within a supportive team environment.

YOUR SKILLS AND EXPERIENCE

• Strong commercial experience within analytics, credit risk, customer analytics, or a similar analytical function
• Proven ability to translate data into meaningful insights and business recommendations
• Strong SQL skills for data extraction, manipulation, and analysis
• Experience working with large datasets and producing clear, actionable reporting
• Background within financial services is preferred, although experience from telecoms, utilities, energy, or other data-rich industries will also be considered
• Degree educated in a quantitative, analytical, or related discipline
• Excellent communication and stakeholder management skills

SALARY AND BENEFITS

• Base salary of £35,000 – £45,000
• Hybrid working model
• Competitive pension scheme
• Generous holiday allowance
• Structured learning and development opportunities
• Clear progression pathway into Senior Analyst and Credit Strategy roles
• Exposure to high-impact projects across the wider credit risk function

HOW TO APPLY
Please register your interest by sending your CV to Rachael through the ‘Apply’ link.

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Senior Scorecard Analyst
London or Leeds
£45,000- £65,000

This is an excellent opportunity for a Senior Credit Risk Analyst to join a well-established data and analytics business at an exciting stage of transformation. Working in a highly client-facing environment, you will deliver impactful analytical solutions, support decision-making for major organisations, and gain exposure to a diverse range of credit risk, modelling, and strategy projects.

The Company
They are a leading data and analytics organisation that helps businesses make smarter, data-driven decisions. Through advanced analytics, modelling, and risk solutions, they support clients across multiple sectors to improve performance and manage risk effectively. Following significant investment in cloud technologies and modern analytical tools, they offer a dynamic environment focused on innovation, collaboration, and professional development.

The Role

• Deliver analytical projects across credit risk strategy, scorecard development, model development, and portfolio analysis.
• Partner directly with external clients to understand business challenges and provide data-driven recommendations.
• Analyse large and complex datasets using SQL and Python to generate actionable insights.
• Support the design, implementation, and optimisation of credit risk models and lending strategies.
• Present findings and recommendations to stakeholders, translating technical outputs into clear business outcomes.
• Contribute to commercial solutions that drive measurable value for clients.
• Work closely with both internal teams and client stakeholders on a variety of analytical engagements.

Your Skills & Experience

• Strong commercial experience in credit risk analytics.
• Experience working with credit bureau or Credit Reference Agency data.
• Hands-on experience using SQL and Python for data analysis and modelling.
• Exposure to scorecard development, model development, model implementation, or credit strategy projects.
• Strong understanding of credit risk principles and lending decision processes.
• Excellent communication and stakeholder management skills with the ability to present complex findings clearly.
• Demonstrated ability to solve business problems through data and analytics.
• Experience working in a client-facing or consultancy-style environment is advantageous.
• Exposure to cloud technologies, Git/GitHub, BigQuery, or related modern analytics tools would be beneficial.

What They Offer

• Salary up to £65,000 depending on skills and experience.
• Structured career development and progression opportunities.
• Exposure to a broad range of clients, industries, and analytical challenges.
• Modern technology environment with ongoing investment in cloud and advanced analytics capabilities.
• Comprehensive benefits package including pension, healthcare, life assurance, income protection, enhanced family policies, holiday allowance, flexible benefits, and learning and development support.

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Senior Decision Scientist – Validation
£60,000 – £80,000 | London

Are you a credit risk modelling specialist looking to move into a high-impact validation role within a fast-growing fintech? This is an opportunity to join a well-established business where data science and automated decisioning sit at the heart of the lending proposition. You’ll play a key role in ensuring credit models remain robust, scalable and effective as the business continues to expand internationally.

THE COMPANY

This fintech organisation has a strong track record of growth, profitability and innovation. They have built a highly data-driven lending platform powered by machine learning and automated credit decisioning. This role offers the opportunity to influence model governance and validation standards within a business where analytical insights directly shape commercial outcomes.

THE ROLE
As a Senior Decision Scientist within the Model Validation team, you will be responsible for independently reviewing and challenging credit risk and decisioning models across the lending lifecycle.
Key responsibilities include:

• Leading end-to-end validation of credit risk, machine learning and decisioning models
• Assessing model methodology, assumptions, data quality, feature engineering and target definitions
• Evaluating model performance, calibration, stability and robustness across different portfolios and customer segments
• Designing and maintaining model calibration and risk segmentation frameworks
• Developing monitoring frameworks covering model performance, decision outcomes, portfolio trends and data quality
• Identifying and investigating model deterioration, implementation issues and portfolio performance changes
• Defining validation standards, controls and acceptance criteria for model changes and new developments
• Collaborating closely with Data Science, Risk and Analytics teams to ensure models remain fit for purpose
• This is an excellent opportunity to gain exposure to advanced machine learning models, automated underwriting and modern fintech credit risk practices while working in a highly visible role.

YOUR SKILLS AND EXPERIENCE

• Strong commercial experience in credit risk model validation
• Experience validating credit scoring, probability of default or related risk models
• Background within banking, lending, fintech or consulting environments
• Knowledge of consumer lending portfolios
• Experience assessing model performance, calibration and monitoring frameworks
• Strong Python skills for model analysis and validation work
• Excellent stakeholder management and communication skills
• Exposure to IFRS 9 modelling would be beneficial but is not essential
• Experience working with machine learning models within a regulated environment would be advantageous

SALARY AND BENEFITS

• Base salary of £60,000 – £80,000 depending on experience
• Hybrid working model with 3 days per week in the London office
• Pension scheme
• Comprehensive benefits package
• Opportunity to work with a high-performing analytics and risk team
• Clear progression opportunities within a growing data and decision science function

HOW TO APPLY
Please register your interest by sending your CV to Rachael through the Apply link.

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Credit Risk Analyst
West Midlands
£35,000 – £45,000

Looking for a role where you can use data to influence real commercial decisions and build a long-term career in credit risk? This is an excellent opportunity to join a high-performing analytics team within a well-established consumer business, where you’ll gain exposure to lending strategy, portfolio analysis, and risk decisioning while benefiting from strong mentorship and structured development.

The Company
This organisation is a leading consumer-facing business with a large and established customer base. They operate a significant lending portfolio and use data-driven decision making to optimise customer outcomes and business performance. Their Credit Risk team is highly regarded internally and is known for investing heavily in learning, development, and career progression. As the team continues to grow, they are looking for an analyst who is keen to develop their expertise and take on increasing responsibility.

The Role
As a Credit Risk Analyst, you will support the delivery of insight-led risk strategies across customer portfolios.
Key responsibilities include:

• Producing regular reporting and ad hoc analysis across new and existing customers
• Identifying trends, opportunities, and risks within customer and portfolio performance
• Delivering deep-dive analysis and translating findings into clear recommendations
• Supporting senior analysts with strategy development and performance monitoring
• Building dashboards, reports, and presentations for key stakeholders
• Using data to drive business decisions and influence change
• Developing expertise across credit risk, lending performance, and customer behaviour

Your Skills & Experience

• Strong commercial experience in analytics and insight generation
• Ability to turn analysis into actionable recommendations and business outcomes
• Experience identifying trends and influencing decision making through data
• Strong SQL skills are essential
• Experience within financial services is highly desirable, although candidates from other analytical environments such as telecoms, energy, or consumer sectors will also be considered
• Degree educated
• Strong communication and stakeholder engagement skills

What They Offer

• Salary between £35,000 and £45,000
• Hybrid working with one day per week in the office
• Strong learning and development opportunities
• Clear progression pathway into senior analytics and credit strategy roles
• Exposure to a broad range of projects and business stakeholders
• Collaborative team environment with hands-on support from experienced leaders

How to Apply
If you’re an analytically minded professional looking to develop your career in Credit Risk Analytics, apply now to learn more about this opportunity.

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Senior Decision Scientist, Analytics

£60,000 – £80,000 | London

This is an exciting opportunity for a Senior Decision Scientist to join a growing analytics function within a fast-scaling fintech. Working at the heart of credit decisioning and business performance, you will use data to solve complex problems, influence strategy, and drive meaningful commercial outcomes. The role offers a blend of deep analytical work, stakeholder engagement, and the opportunity to challenge existing approaches in a highly data-driven environment.

THE COMPANY
This established fintech is helping businesses access funding through digital platforms. They combine advanced data analytics, automated decisioning, and modern technology to deliver fast, scalable financial solutions. With continued growth across multiple markets, they are investing heavily in analytics and decision science capabilities to support future expansion. This role sits within a high-performing analytics team and offers the opportunity to work on business-critical challenges with significant visibility across the organisation.

THE ROLE
* Deliver detailed analytics, investigations, and deep dives to support strategic and operational decision-making.
* Partner with stakeholders across the business to understand challenges and identify data-driven solutions.
* Analyse customer, portfolio, and decisioning performance to generate actionable insights.
* Drive improvements to processes, reporting, and analytical frameworks.
* Challenge existing methodologies and contribute innovative ideas to improve outcomes.
* Support the resolution of business and operational issues through rigorous analytical investigation.
* Work hands-on with large and complex datasets to uncover trends, risks, and opportunities.
* Collaborate with technical and non-technical stakeholders to influence decision-making.
This role offers the opportunity to make a tangible impact, work on a wide variety of analytical problems, and help shape the future direction of a growing decision science function.

YOUR SKILLS AND EXPERIENCE
* Strong commercial experience within credit analytics, decision science, risk analytics, or a related field.
* Experience delivering complex analytical projects and presenting insights to stakeholders.
* Strong stakeholder management and communication skills.
* Advanced SQL skills.
* Python experience for analysis and problem-solving.
* Experience working within financial services, lending, fintech, or credit-focused environments.
* Ability to translate business challenges into analytical solutions.
* Naturally curious with a track record of investigating issues and identifying opportunities for improvement.

SALARY AND BENEFITS
* £60,000 – £80,000 base salary.
* Hybrid working model with 3 days per week in a central London office.
* Competitive benefits package.
* Pension scheme.
* Strong career development opportunities within a growing business.
* Exposure to senior stakeholders and business-critical decision-making.

HOW TO APPLY
Please register your interest by sending your CV to Rachael through the Apply link for this role.

To Apply for this Job Click Here

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Senior Data Scientist

London | £60,000 – £80,000

This Senior Data Scientist role offers the chance to work on end-to-end credit risk modelling within a highly data-driven environment where analytics is central to commercial success.

THE COMPANY
This growing financial technology business uses advanced analytics, machine learning, and automated decisioning to deliver funding solutions at scale. Operating across multiple markets, they have built a strong reputation for innovation and continue to invest heavily in their data capabilities. Their Data Science team works closely with Risk, Engineering, and Product functions to drive business growth through data-led decision making.

THE ROLE
* Build and deploy credit risk models from scratch, including scorecards, probability of default models, and forecasting models.
* Apply machine learning techniques to improve underwriting and risk assessment processes.
* Analyse large and complex datasets to identify trends, opportunities, and risks.
* Develop predictive models to support business performance and customer outcomes.
* Collaborate with Product, Engineering, Credit Strategy, and Risk teams to deliver data-driven solutions.
* Create visualisations and communicate analytical findings to technical and non-technical stakeholders.
* Support model deployment, monitoring, and best practice model lifecycle management.
* Contribute to the ongoing development of the organisation’s data science capability.

YOUR SKILLS AND EXPERIENCE
* Strong commercial experience in Data Science within credit risk, lending, or financial services.
* Experience building predictive credit models from scratch.
* Hands-on machine learning experience in a commercial environment.
* Strong Python and SQL skills.
* Experience developing credit scorecards, risk models, or forecasting models.
* Ability to communicate technical concepts effectively to stakeholders.
* Experience working with consumer lending or SME lending portfolios would be beneficial.

WHAT THEY OFFER
* £60,000 – £80,000 base salary.
* Flexible hybrid working model.
* Competitive benefits package.
* Exposure to complex machine learning and credit risk challenges.
* Opportunity to work alongside experienced data science and risk professionals.
* Clear progression opportunities within a growing analytics function.

HOW TO APPLY
Please apply by sending your CV to Rachael through the link below.

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Data Scientist

London | £40,000 – £60,000

This is an opportunity to join a growing data science team where you’ll work on end-to-end machine learning solutions that directly influence lending decisions, risk management, and commercial performance. You’ll collaborate with decision science, credit strategy, engineering, and product teams, solving complex business challenges through advanced analytics and machine learning.

THE COMPANY
This fast-growing financial technology business leverages data, automation, and machine learning to deliver innovative funding solutions to businesses at scale. Operating in a highly analytical environment, they place data science at the heart of decision-making and product development.
Following significant growth, the business is investing further in its modelling capabilities and expanding its data science team. This is a great opportunity to join a collaborative function where your work will have visible commercial impact.

THE ROLE
* Build and develop credit risk models from scratch, including scorecards, probability of default models, and forecasting models.
* Apply machine learning techniques to improve underwriting and decision-making processes.
* Analyse large datasets to identify trends, risks, and opportunities.
* Develop predictive models to support risk, fraud, and business performance objectives.
* Work closely with stakeholders across product, engineering, risk, and commercial teams.
* Create clear insights and visualisations to support business decisions.
* Contribute to model deployment, monitoring, and lifecycle management.
* Support the development of scalable analytical solutions and best practices.

YOUR SKILLS AND EXPERIENCE
* Strong commercial experience in Data Science within credit risk or lending environments.
* Experience building predictive models from scratch rather than solely maintaining existing models.
* Hands-on machine learning experience.
* Strong Python and SQL skills.
* Experience developing scorecards, credit risk models, or related predictive analytics solutions.
* Ability to communicate technical findings to both technical and non-technical stakeholders.
* Experience within consumer lending, SME lending, fintech, banking, or related financial services environments.
Desirable:
* Experience within SME lending.
* Exposure to MLOps or model deployment frameworks.
* Experience working in fast-paced, data-driven businesses.

SALARY AND BENEFITS
* £40,000 – £60,000 base salary depending on experience.
* Hybrid working model with flexibility around office attendance.
* Competitive benefits package.
* Opportunity to work alongside experienced data science, risk, and engineering professionals.
* Clear opportunities for career progression within a growing team.

HOW TO APPLY
Please register your interest by sending your CV to Rachael through the Apply link for this role.

To Apply for this Job Click Here

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SENIOR DECISION SCIENTIST, MODEL VALIDATION

London (Hybrid) | Salary up to £80,000

Join a high-growth fintech business where data-driven decision making sits at the heart of commercial success. This is an opportunity to take ownership of model validation, credit decisioning and risk analytics in a fast-paced environment, helping shape lending strategies across multiple products and markets.

The Company

They are a rapidly scaling financial technology organisation delivering innovative lending solutions. With strong backing, ambitious growth plans and an expanding international presence, they continue to invest heavily in analytics, risk and data capabilities. Their culture is collaborative, commercially focused and driven by evidence-based decision making.

The Role

You will play a key role in strengthening model oversight and credit decisioning processes, working closely with Data Science, Risk, Engineering and Commercial teams.

Responsibilities include:

• Leading independent validation of credit risk and decisioning models.
• Assessing model performance, calibration, stability and suitability for business use.
• Building monitoring frameworks for model performance, data quality and decision outcomes.
• Identifying, investigating and resolving model, data and implementation issues.
• Presenting insights and recommendations to both technical and senior business stakeholders.

Your Skills & Experience

• Strong experience in decision science, credit risk analytics, model validation or a similar quantitative discipline.
• Advanced SQL and Python skills for analysis, validation and monitoring.
• Strong statistical knowledge with the ability to evaluate and challenge predictive models.
• Experience working across the full model lifecycle, including validation, calibration and monitoring.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Experience within lending, financial services, commercial credit or related sectors is advantageous.

What They Offer

• Competitive base salary plus performance-related bonus.
• Comprehensive benefits package including private medical cover and enhanced family leave.
• Flexible hybrid working model.
• Clear career progression within a growing analytics and risk function.
• Exposure to international markets, complex data challenges and senior business stakeholders.
• Collaborative, high-performing and data-led culture.

How to Apply

If you are an experienced Decision Scientist with strong model validation and credit risk expertise, apply today!

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HEAD OF DATA SCIENCE

London (Hybrid) | £120,000 – £140,000 + Equity

This is an opportunity to lead the data science strategy for a rapidly growing fintech business where AI, machine learning, and data-driven decision making sit at the heart of the organisation. You’ll play a key role in shaping risk and affordability modelling capabilities while building solutions that directly influence business performance and customer outcomes.

The Company

They are a high-growth financial services organisation using technology and data to transform customer experiences within consumer lending. With strong backing and ambitious growth plans, they are investing heavily in AI, analytics, and automation to drive smarter decision making across the business. This is a business where innovation is encouraged and technical leaders can have a significant impact.

The Role

• Define and lead the data science strategy across risk, affordability, and decisioning.
• Develop and deploy machine learning models that support lending decisions.
• Drive the adoption of AI and advanced analytics solutions across the organisation.
• Partner closely with Product, Engineering, Credit Risk, and Operations teams.
• Own model deployment, monitoring, governance, and performance evaluation.
• Present insights and recommendations to senior stakeholders and leadership teams.

Your Skills & Experience

• Strong commercial experience in credit risk modelling within consumer lending or financial services.
• Hands-on expertise in Python, SQL, machine learning, and predictive modelling.
• Experience deploying models into production environments and monitoring performance.
• Knowledge of AI, LLMs, or agent-based technologies in real-world applications.
• Strong stakeholder management and communication skills.
• Ability to balance technical excellence with commercial objectives.

What They Offer

• Salary of £120,000 – £140,000 depending on experience.
• Equity participation.
• Private healthcare and enhanced pension contribution.
• Generous holiday allowance.
• Clear scope for leadership, ownership, and career progression.

How to Apply

If you’re interested in leading a high-impact data science function within a fast-growing fintech environment, apply today to find out more.

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HEAD OF DATA SCIENCE – CREDIT RISK
£120,000-140,000 (dependent on experience)
London – 3 days in office

Great opportunity with a scaling FinTech lender in the UK. This business offer a fast-paced and driven work environment, with a really collaborative team culture that encourages employee development and growth.

THE COMPANY

This dynamic and fast-paced lender is seeking a driven and experienced individual to join their team to own their modelling function, across credit risk, collections, fraud and more. You’d work as an Individual Contributor to lead the Data Science function to make an impact on business performance.

THE ROLE

• Develop 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 implementation and impact of predictive models across the product suite

YOUR SKILLS AND EXPERIENCE:

• Essential to have experience developing predictive models
• SQL and Python experience is essential
• Highly desirable to have had experience in Consumer Lending and a strong understanding of the credit lifecycle
• Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech is a plus

SALARY AND BENEFITS

• Base salary from £120-140,000 depending on experience
• Private medical care
• 25 days holiday
• Cycle to work scheme

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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HEAD OF DATA SCIENCE

£120,000 – £140,000
London

This is an exciting opportunity to join a highly innovative fintech at a pivotal stage of growth. As Head of Data Science, you will take ownership of a business-critical decisioning function, working on predictive machine learning models, AI-powered solutions, and customer-facing recommendation systems that directly influence commercial performance. With profitability on the horizon and significant investment in AI across the business, this role offers genuine ownership, visibility, and impact.

THE COMPANY

This fast-growing fintech is transforming the customer finance journey. Operating in a highly data-driven environment, the business has embedded AI and automation across multiple functions and is recognised for its innovative approach to leveraging machine learning and emerging technologies.
With a collaborative team structure and a strong product focus, the organisation empowers individuals to take ownership and contribute across a broad range of initiatives. This role sits within a core decisioning team and offers the opportunity to shape data science strategy while remaining hands-on with model development and deployment.

THE ROLE

As Head of Data Science, you will lead the strategic direction of data science within the decisioning function while remaining closely involved in technical delivery.
Key responsibilities include:

• Developing and enhancing predictive machine learning models across customer decisioning and recommendations
• Owning scorecard development, affordability modelling, and decisioning frameworks
• Driving innovation through the application of open banking data and advanced categorisation techniques
• Building and improving AI-powered solutions, including LLM-based agents and automated workflows
• Collaborating with Credit, Fraud, Engineering, and Product teams to deliver high-impact data science initiatives
• Supporting model deployment and ensuring solutions are delivered into production effectively
• Identifying opportunities to apply advanced analytics and machine learning to improve business performance

YOUR SKILLS AND EXPERIENCE

• Strong commercial experience building and deploying predictive machine learning models
• Experience developing decisioning, recommendation, risk, or customer-focused models within a B2C environment
• Practical experience working with Python, SQL, and modern cloud platforms such as AWS
• Experience working with data platforms and analytics tooling such as Snowflake and similar technologies
• Understanding of model deployment processes
• Exposure to LLMs, AI agents, agentic workflows, or generative AI applications is highly desirable
• Ability to work effectively in a fast-paced and evolving business environment
• Strong stakeholder management and communication skills
• Experience in consumer finance is beneficial but not essential

SALARY AND BENEFITS

• Base salary of £120,000 – £140,000
• Equity package
• Hybrid working model (3 days per week in the office)
• Opportunity to work with cutting-edge AI and machine learning technologies
• Significant ownership and influence within a growing business
• Collaborative and highly innovative team environment

HOW TO APPLY
Please register your interest by sending your CV to Rachael Lewis through the Apply link.

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LEAD CREDIT RISK REPORTING ANALYST
£65,000 – £85,000
LONDON

An exciting opportunity for a Credit Risk Analytics professional to join a growing financial services business. This role combines IFRS 9 reporting, Power BI development and credit risk analytics, offering significant exposure to senior stakeholders and the opportunity to influence key business decisions.

THE COMPANY
A specialist financial services organisation investing heavily in its risk and analytics capabilities. They are building a best-in-class reporting function and are looking for an experienced analyst to support this growth.

THE ROLE

• Deliver credit risk and portfolio reporting to senior stakeholders
• Support IFRS 9 and expected credit loss reporting
• Develop and enhance Power BI dashboards and reporting solutions
• Analyse large datasets to identify trends, risks and opportunities
• Drive automation and reporting process improvements
• Investigate and resolve data quality issues
• Partner with Risk, Finance, Data and Modelling teams
• Support model monitoring and reporting activities
• Provide analytical insight to support strategic decision-making

YOUR SKILLS & EXPERIENCE

• Strong experience in Credit Risk Reporting and Analytics
• IFRS 9 reporting and expected credit loss knowledge
• Advanced Power BI skills including DAX and data modelling
• Strong SQL and experience with Python, SAS or R
• Experience delivering analytical solutions and reporting improvements
• Strong stakeholder management and communication skills
• Experience working with complex datasets and reporting frameworks

• Model monitoring or validation exposure
• Mentoring or leadership experience

WHAT THEY OFFER

• £65,000 – £85,000 salary
• Annual bonus
• Pension
• Private healthcare
• Hybrid working
• Generous holiday allowance
• Strong career progression opportunities

HOW TO APPLY
Please register your interest by sending your CV to Rachael Lewis through the Apply link.

To Apply for this Job Click Here