BANKING
DATA RECRUITMENT

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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, ANALYTICS

London (Hybrid) | Up to £80,000

An exciting opportunity to join a high-growth fintech business where analytics plays a central role in commercial decision-making. This role offers significant exposure to senior stakeholders, complex datasets, and the chance to influence strategy across multiple markets.

THE COMPANY

They are a fast-growing technology-led financial services business operating across international markets. With a strong data-driven culture and ambitious growth plans, they invest heavily in analytics, innovation, and decision science. You will join a collaborative environment where insights directly shape business performance.

THE ROLE

* Develop analytical tools and frameworks to support business and risk decisions.
* Conduct scenario analysis and provide actionable recommendations to stakeholders.
* Analyse large datasets to identify trends, opportunities, and performance drivers.
* Collaborate with Data Science, Engineering, Finance, and Commercial teams on strategic initiatives.
* Present insight-led findings to both technical and non-technical audiences.

YOUR SKILLS & EXPERIENCE

* Strong experience in analytics, decision science, data science, or a related quantitative field.
* Advanced SQL and Python skills.
* Excellent statistical and problem-solving capabilities.
* Experience translating complex analysis into commercial recommendations.
* Strong stakeholder management and communication skills.

WHAT THEY OFFER

* Salary up to £80,000 depending on experience.
* Comprehensive benefits package.
* Clear progression opportunities within a growing business.
* Collaborative, high-performing, and data-driven culture.

HOW TO APPLY

Apply today to learn more about this Senior Decision Scientist opportunity.

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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

To Apply for this Job Click Here

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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

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Senior Data Scientist
London (Hybrid) | £60,000 to £90,000

This is an exciting opportunity to join a fast-growing fintech business where data science sits at the heart of commercial decision-making. You’ll work on high-impact machine learning solutions that directly influence lending, risk, and business performance while collaborating with a highly skilled, data-driven team.

The Company
Our client is a high-growth financial technology organisation delivering innovative embedded finance solutions to businesses across multiple international markets. They have built a strong reputation for combining advanced technology with data-led decision-making. With ambitious growth plans and a collaborative culture, they offer an environment where data professionals can make a visible impact.

The Role
As a Senior Data Scientist, you will play a key role in developing machine learning and predictive analytics solutions that support critical business and risk decisions.
Responsibilities include:

• Analysing large and complex datasets to identify trends, patterns, and actionable insights.
• Building and deploying machine learning models to support forecasting, risk assessment, fraud detection, and customer outcomes.
• Developing predictive models that drive commercial and operational decision-making.
• Creating dashboards and visualisations to communicate findings to technical and non-technical stakeholders.
• Partnering with product, engineering, and commercial teams to embed data-driven solutions into products and processes.
• Working closely with data engineering teams to optimise data infrastructure and analytical workflows.
• Supporting best practices across machine learning operations and model lifecycle management.

Your Skills & Experience

• Strong commercial experience as a Data Scientist within a data-rich environment.
• Advanced Python and SQL skills for analysis, modelling, and data manipulation.
• Hands-on experience developing and deploying machine learning models.
• Strong understanding of predictive analytics and statistical modelling techniques.
• Experience translating complex analytical findings into clear business recommendations.
• Ability to work effectively with cross-functional stakeholders across technical and non-technical teams.
• Experience working with financial, lending, payments, or transactional data is advantageous.
• Strong problem-solving skills and the ability to navigate ambiguity in a fast-paced environment.

How to Apply
If you’re interested in applying advanced machine learning and data science techniques within a fast-growing fintech environment, please submit your CV for immediate consideration.

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LEAD RISK REPORTING ANALYST
London (Hybrid) | Up to £85,000

This is an excellent opportunity to join a growing financial services business investing heavily in data, analytics, and reporting transformation. You’ll play a key role in portfolio and impairment analytics while helping modernise reporting capabilities through Power BI, automation, and the adoption of new technologies.

The Company

They are a well-established specialist financial services organisation with a strong track record of growth and profitability. Their analytics function is central to business decision-making, with dedicated teams across credit risk, IFRS 9 modelling, and validation.

The Role

• Deliver portfolio and impairment analytics to support credit risk decision-making
• Develop and enhance Power BI dashboards and reporting solutions
• Automate reporting and analytical processes to improve efficiency
• Generate insights into portfolio performance and credit trends
• Support the migration of reporting processes from SAS to modern BI tools
• Collaborate with stakeholders across Risk, Finance, and Analytics

Your Skills & Experience

• Strong commercial experience in credit risk, portfolio analytics, or impairment analytics
• Proven experience building Power BI dashboards from scratch
• Experience automating reporting and analytical processes
• Strong SAS and SQL skills
• Understanding of IFRS 9 and credit risk reporting
• Ability to communicate insights to both technical and non-technical stakeholders
• Collaborative approach and strong professional drive

What They Offer

• Salary up to £85,000 depending on experience
• Hybrid working
• Exposure to a large-scale reporting transformation programme
• Opportunity to shape the future BI and analytics capability of the function
• Clear scope for progression and increased responsibility

How to Apply

If you have a background in credit risk analytics and a passion for BI, reporting, and automation, please apply to find out more.

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LEAD CREDIT RISK ANALYST

£65,000 – £70,000 | Cardiff

Join a growing lending business at an exciting stage of its evolution, where you’ll have the opportunity to shape credit strategy within a fast-growing portfolio. This is a highly visible role offering direct exposure to senior stakeholders, significant ownership, and the chance to make a tangible impact on customer outcomes, portfolio performance, and business growth.

THE COMPANY
This established financial services business is continuing to invest in and expand its consumer lending products. Operating within a collaborative and data-driven environment, the business combines the stability of a well-established organisation with the agility and pace of a growing lending portfolio.
As part of a wider transformation programme, the company is enhancing its decisioning capabilities, refining its credit strategies, and investing heavily in automation. This role offers the opportunity to play a key part in that journey.

THE ROLE

• Analyse approval, referral, arrears and default trends to identify key performance drivers and emerging risks
• Develop and optimise credit risk strategies to support sustainable portfolio growth
• Identify opportunities to improve automated decisioning processes and reduce manual referrals
• Review and enhance lending policies, underwriting controls and scorecard cut-offs
• Partner with Product, Underwriting, Commercial and Decisioning teams to influence business decisions
• Monitor the performance of strategy changes and provide recommendations for continuous improvement
• Present data-driven insights and recommendations to both technical and non-technical stakeholders
• Play a key role in a major transformation programme focused on improving customer outcomes and operational efficiency

YOUR SKILLS AND EXPERIENCE

• Strong commercial experience within Credit Risk Strategy
• Experience within motor finance, consumer lending, personal loans or a similar lending environment
• Experience improving acceptance strategies, lending limits, underwriting controls and decisioning rules
• Advanced SQL skills
• Strong analytical skills with the ability to translate data into actionable business recommendations
• Excellent stakeholder management and communication skills
• Experience presenting insights to senior audiences
• Python experience is advantageous but not essential
• UK lending experience is required
• Previous scorecard modelling experience would also be beneficial

SALARY AND BENEFITS

• £65,000 – £70,000 base salary
• Annual bonus
• Hybrid working with Cardiff office attendance once or twice per week
• Sponsorship available for the right candidate
• Pension scheme
• Dedicated training and development budget
• Book purchasing scheme
• Regular team socials and collaborative working environment
• Strong opportunities for career development and progression

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

To Apply for this Job Click Here

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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