BANKING
DATA RECRUITMENT

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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

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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

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Decision Science Lead
London
£70,000 to £90,000 plus benefits

This is an opportunity to step into a high impact Decision Science Lead role within a fast growing fintech environment. You will play a key role in shaping credit risk strategy through advanced analytics and machine learning, with strong exposure to senior stakeholders and clear progression opportunities.

The Company
They are a scaling fintech business operating in the consumer lending space, focused on delivering innovative, data driven solutions. With a strong market presence and growing customer base, they are competing with some of the largest players in the industry. The business combines a collaborative, agile culture with a clear ambition to continue expanding its analytics capability.

The Role

• Develop and enhance credit risk models including scorecards, behavioural, acquisition and fraud models
• Build predictive models using advanced statistical and machine learning techniques
• Deploy models into production using AWS SageMaker and collaborate with engineering teams
• Monitor model performance and ensure ongoing effectiveness across business and technical metrics
• Generate insights and present clear, actionable recommendations to stakeholders
• Explore new data sources and modelling approaches to drive innovation
• Work closely with cross functional teams to influence lending and risk decisions

Your Skills and Experience

• Strong commercial experience within consumer credit and lending environments
• Proven ability to develop credit risk models, including scorecards or predictive models
• Strong programming skills in Python and SQL with experience working in cloud environments such as AWS
• Solid grounding in statistics and machine learning
• Experience working with large, complex datasets and delivering business insights
• Strong communication skills with the ability to influence stakeholders
• Experience with model deployment is highly beneficial
• Exposure to dbt is desirable

What They Offer

• Salary between £70,000 and £90,000
• Hybrid working with two to three days in the office each week
• Competitive benefits package including bonus, pension and private medical cover
• Strong career progression opportunities within a growing data function
• A collaborative and supportive working environment with exposure to senior leadership

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Principal Credit Risk Consultant
London. Hybrid working with 2 days in the office.
£90,000 to £120,000 + benefits.

This is a standout opportunity for a Principal Credit Consultant to take on a highly visible role within a leading credit risk and analytics consulting environment. You will combine hands on analytical delivery with senior stakeholder engagement, playing a key role in both client impact and team development.

The Company
They are a well established UK consultancy operating across financial services, with a strong focus on credit risk, analytics, and advisory. The business partners with lenders and financial institutions to deliver data driven strategies and insights. Their credit risk team is recognised for delivering high quality work in a collaborative, flat structure that enables close interaction with senior specialists. They continue to grow their capabilities and client base across multiple service areas.

The Role
You will lead complex engagements while contributing to the growth and development of the credit risk team.

• Lead end to end delivery of credit risk and analytics consulting projects
• Manage multiple engagements, ensuring delivery to scope, timeline, and budget
• Provide hands on analytical input where required across modelling and data analysis
• Build strong client relationships and act as a trusted advisor on credit risk strategy
• Support growth through expanding existing client relationships and contributing to proposals
• Mentor and develop analysts, supporting capability building within the team
• Contribute to internal discussions on resource planning, delivery quality, and team development

Your Skills and Experience

• Strong commercial experience in credit risk analytics within UK lending
• Experience in a consultancy or client facing analytics environment
• Proven ability to lead projects and manage delivery teams
• Expertise across credit risk modelling, forecasting, or strategy optimisation
• Strong coding capability in SAS, SQL, or Python, with willingness to work in Python
• Ability to communicate complex analytical outputs clearly to a range of stakeholders
• Experience building and maintaining client relationships

What They Offer

• Salary between £90,000 and £120,000 depending on experience
• Hybrid working with London office presence
• Opportunity to take on a senior, influential role within a growing team
• Exposure to complex projects and high impact client work
• Collaborative environment focused on professional development

How to Apply
Apply now to learn more about this Principal Credit Consultant opportunity and the next steps in the process.

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Head of/Senior Manager – Credit and Pricing
London (Hybrid, 3 days in office)

This is a senior opportunity to shape how a high-growth fintech business makes credit decisions at scale. Sitting at the intersection of credit risk, analytics, and commercial strategy, this role offers the chance to influence both immediate performance and long-term platform capability. You will combine hands-on analytical work with strategic ownership, driving real impact across multiple products and markets.

The Company
They are a scaling fintech business operating in the embedded finance space, partnering with digital platforms to deliver tailored funding solutions. Their model is data-led, combining multiple data sources to inform smarter credit decisioning and product design. With international operations and strong backing, they are entering a new phase focused on scalable growth, product innovation, and optimising portfolio performance.

The Role

• Own and optimise credit and commercial strategy across a key product or portfolio area
• Drive yield performance by balancing risk, pricing, and approval rates
• Develop scalable pricing, decisioning, and unit economics frameworks
• Analyse portfolio performance to identify incremental opportunities for growth and profitability
• Support new product and partner launches, then build frameworks to scale performance over time
• Work closely with credit risk, product, engineering, and analytics teams to embed strategy into decisioning systems
• Contribute to the development of credit models, pricing approaches, and policy frameworks
• Translate complex data into clear, actionable insights for senior stakeholders
• Remain hands-on with data using SQL, Python, or similar tools

Your Skills and Experience

• Strong commercial experience within credit strategy in a lending or financial services environment
• Proven ability to balance risk and profitability in a data-driven setting
• Experience working with pricing, decisioning, or unit economics frameworks
• Highly analytical, with hands-on capability in SQL, Python, or similar tools
• Ability to solve complex problems from first principles
• Comfortable operating across both strategic and execution-focused work
• Strong communication skills, with the ability to influence senior stakeholders

What They Offer

• Competitive salary with bonus and potential equity
• Hybrid working in a London office
• High level of ownership and visibility across the business
• Opportunity to shape scalable credit decisioning in a growing organisation
• Long-term career progression as the business continues to expand

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CREDIT RISK DIRECTOR

UP TO £130,000

LONDON

HYBRID WORKING (2-3 DAYS PER WEEK IN-OFFICE)

Join a high-impact financial services consultancy as a senior leader, where you’ll shape strategy, lead complex analytics projects, and build strong client relationships. This is a standout opportunity to combine hands-on expertise with leadership and commercial influence in a growing, data-driven environment.

THE COMPANY

This organisation is a well-established advisory firm within financial services. They partner with clients to deliver data-driven solutions across lending portfolios and customer strategy. The business offers a collaborative environment with strong opportunities for leadership and progression.

THE ROLE

As a Director, you will lead the delivery of complex credit risk projects while contributing to business development and team leadership. You will oversee multiple engagements and ensure high-quality outcomes for clients.

Specifically, you can expect to be involved in the following:

• Leading end-to-end delivery of credit risk and analytics projects, from scoping through to completion
• Managing and mentoring teams of analysts to deliver high-quality outputs
• Overseeing modelling and analytical work, including hands-on contribution where required
• Building client relationships and supporting new business opportunities and proposals
• Contributing to internal capability development, training and best practice standards

SKILLS AND EXPERIENCE

The successful Director will have the following skills and experience:

• Strong experience in credit risk and analytics within consumer or SME lending
• Proven ability to manage analytical projects and lead teams effectively
• Experience developing and applying models such as scorecards, forecasting or strategy models
• Proficiency in data analysis tools such as Python, SQL or SAS
• Excellent communication skills, with the ability to present insights clearly to stakeholders

BENEFITS

The successful Credit Risk Director will receive a salary up to £130,000.

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Credit Operations Analyst
London
£50,000 to £70,000

This is an opportunity to join a growing, data-led financial services business where you will directly influence how credit decisions are made at scale. The role offers strong exposure across credit, data, and product, with a clear focus on automation and impact.

The Company
They are a fast-growing, technology-driven financial services organisation focused on improving how consumers manage their finances. The business takes a data-first approach, using modern tools and customer insights to inform decision-making. With continued growth and investment in their data capabilities, they are building out a high-performing analytics and credit function.

The Role
You will work at the intersection of credit risk, data, and decisioning, helping to improve and automate lending processes.

• Develop and enhance automated credit decisioning and underwriting logic
• Analyse lending performance and identify opportunities to improve accuracy and efficiency
• Collaborate with product, engineering, and credit teams to reduce manual processes
• Use customer and transactional data to inform lending decisions
• Support improvements in affordability assessment and decision frameworks
• Contribute to building a scalable, data-driven credit operation

Your Skills & Experience

• Strong commercial experience in credit risk within a lending environment
• Experience working on underwriting, decisioning, or credit policy using data
• Strong SQL skills for data analysis and manipulation
• Ability to translate data insights into practical lending decisions
• Solid understanding of how credit decisions are made
• Exposure to affordability assessment or open banking data is beneficial

What They Offer

• Salary between £50,000 and £70,000
• Share options
• Private medical insurance
• Statutory pension
• Opportunity to join a growing business with strong career development potential

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Senior Credit Risk Analyst
London
£60,000 to £100,000

This is a high impact opportunity to shape credit strategy within a fast growing fintech environment. You will work with complex, real world datasets and have genuine ownership over lending decisions, contributing directly to the growth and evolution of a modern financial platform.

The Company
They are a scaling, venture backed fintech operating at the intersection of financial services and technology. The business partners with large organisations to deliver digital financial solutions to a broad user base, with a strong emphasis on accessibility and responsible lending. With continued investment and international expansion underway, they are building out their data and analytics capabilities to support growth. The environment is collaborative, fast paced, and focused on using data to drive better outcomes.

The Role

• Defining and optimising credit risk strategies across evolving lending products
• Using SQL driven analysis to extract insights from complex behavioural datasets
• Developing and refining affordability and risk policies
• Collaborating with cross functional teams to implement and scale strategies
• Monitoring performance and driving continuous improvement across the lending portfolio
• Contributing to the development of new products and credit capabilities

Your Skills and Experience

• Strong commercial experience in credit risk analytics or strategy within consumer lending
• Proven ability to translate data into actionable insights and strategy
• Advanced SQL skills, with Python as a desirable addition
• Experience within unsecured lending products such as personal loans or credit cards
• Ability to structure complex problems and communicate clearly with stakeholders
• FinTech experience is a plus

What They Offer

• Base salary up to £100,000, depending on experience
• Equity package with long term growth potential
• Hybrid working model with three days per week in the London office
• Comprehensive benefits including private healthcare and flexible benefits schemes
• Clear progression opportunities within a scaling data and risk function

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Senior Fraud and Financial Crime Analyst
Lancashire
Up to £50,000

This is a high-impact opportunity to play a key role in the launch of a new credit card product within a growing financial services environment. You will be central to shaping fraud strategy from the ground up, using data and analytics to drive decision-making and optimise controls in a fast-paced, evolving setting.

The Company
They are a scaling financial services business operating within a wider consumer ecosystem, combining the agility of a newer entity with the backing of an established group. The organisation focuses on delivering flexible payment solutions and enhancing customer experience through innovation and data-led insight. With strong growth plans and ongoing investment, they offer a dynamic environment where you can make a tangible impact. Teams are empowered to take ownership, move quickly, and drive meaningful change.

The Role

• Analyse transaction data to identify fraud trends, anomalies, and risk drivers
• Develop and optimise fraud rules, controls, and decisioning strategies
• Produce dashboards and reporting to support governance, regulatory compliance, and commercial insight
• Support the launch and optimisation of a new credit card product
• Conduct detailed analysis across card transactions and emerging fraud typologies
• Test and validate fraud models, rules, and new solutions ahead of deployment
• Collaborate with product, technology, operations, and compliance teams to deliver fraud strategy
• Translate complex data into actionable insights that influence business decisions

Your Skills and Experience

• Strong commercial experience in card fraud analytics within a payments or financial services environment
• Solid understanding of card schemes, transaction lifecycles, and regulatory frameworks
• Advanced data analysis capability using SQL or Python
• Experience working with fraud rules, alerts, and optimisation strategies
• Familiarity with fraud platforms such as Featurespace, FICO, or similar tools
• Ability to interpret complex datasets and communicate insights clearly to stakeholders
• Proactive approach with a focus on problem-solving and continuous improvement

What They Offer

• Salary up to £50,000 plus a competitive benefits package
• Hybrid working with flexibility following the initial onboarding period
• Clear progression opportunities within a growing fraud and analytics function
• Exposure to major product launches and strategic initiatives
• Collaborative environment with strong internal mobility and development opportunities

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LEAD CREDIT RISK ANALYST

UP TO £80,000-£90,000 PLUS SHARES

LONDON

HYBRID WORKING (3 DAYS PER WEEK IN-OFFICE)

Shape the credit strategy behind a fast-growing fintech transforming how people access and manage financial products. In this lead role, you’ll use rich data to drive real lending decisions, influence product innovation, and deliver better outcomes for customers. It’s a chance to step into genuine ownership within a scaling, analytics-driven environment.

THE COMPANY

This organisation is a fast-scaling fintech business focused on delivering innovative financial products through employer partnerships. They leverage rich customer and transactional data to drive responsible lending, affordability, and financial insight solutions. With continued investment and growth, they are expanding their analytics capability to support new product development and international scaling.

THE ROLE

As a Lead Credit Risk Analyst, you will play a key role in shaping and optimising credit strategy across a growing unsecured lending portfolio. You will work closely with cross-functional teams to deliver data-driven decisions and improve risk performance.

Specifically, you can expect to be involved in the following:

• Defining and optimising credit strategies in line with commercial objectives
• Analysing data to generate insights and support key business decisions
• Partnering with product and engineering teams to implement strategies
• Monitoring performance and identifying opportunities to enhance credit outcomes
• Supporting the development of affordability and responsible lending policies

SKILLS AND EXPERIENCE

The successful Lead Credit Risk Analyst will have the following skills and experience:

• Strong SQL skills with the ability to work with large datasets
• Experience in credit risk analytics within a consumer lending environment
• Ability to translate complex data into clear, actionable insights
• Experience with unsecured lending products such as loans or credit cards
• Strong communication skills and ability to work with non-technical stakeholders
• Python experience is beneficial but not essential

BENEFITS

The successful Lead Credit Risk Analyst will receive a salary up to £80,000-£90,000 as well as shares in the company.

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STRATEGY MANAGER

UP TO £75,000-£90,000 PLUS BONUS

LONDON

HYBRID WORKING (3 DAYS PER WEEK IN-OFFICE)

Be part of a mission-driven business redefining how people access technology, using data and strategy to unlock smarter, more sustainable growth. You’ll play a key role in improving strategy while protecting the long-term health of the business.

THE COMPANY

A fast-growing, data-led scale-up operating within a highly competitive, consumer-focused digital marketplace. The business combines advanced analytics with a strong commercial focus to drive growth and decision-making, and is entering an exciting phase of expansion following recent investment. It offers a dynamic environment for individuals looking to make a measurable impact in a scaling organisation.

THE ROLE

This role sits within a high-performing strategy and analytics function, focused on improving approval rates while balancing risk and growth. You will lead data-driven initiatives that directly impact commercial performance across both consumer and business products.

Specifically, you can expect to be involved in the following:

• Leading strategic projects to optimise approval rates using advanced decisioning systems
• Using SQL and analytics to investigate performance drivers and identify opportunities for growth
• Designing scalable data frameworks and tracking systems to support decision-making
• Collaborating cross-functionally with product, engineering, marketing, and risk teams
• Enhancing decisioning logic and integrating new data sources to improve outcomes

SKILLS AND EXPERIENCE

The successful Strategy Manager will have the following skills and experience:

• Strong experience in analytics, strategy, or data-focused roles within a data-rich environment
• Advanced SQL skills with the ability to interrogate and manipulate complex data sets
• Proven ability to use data insights to solve business problems and support decision-making
• Experience working with multiple data sources and building scalable analytical solutions
• Strong communication skills, with the ability to explain technical insights to non-technical stakeholders

BENEFITS

The successful Strategy Manager will receive a salary up to £75,000-£90,000 as well as a comprehensive benefits package.

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VP AI Engineer
$220K base + bonus + RSU
New York or San Francisco

A global financial technology organisation operating at enterprise scale, combining advanced software engineering, data science, and applied AI to modernise large-scale production systems. The company invests heavily in automation, operational excellence, and AI-driven infrastructure, building mission-critical platforms used across complex, high-reliability environments.

Mission

• Design and deploy agentic AI systems to automate and optimise large-scale production environments
• Build LLM-powered solutions that diagnose issues, reason over complex systems, and take secure, auditable actions
• Develop RAG pipelines and domain knowledge systems with strong data quality, feedback loops, and governance
• Productionise LLMs: evaluation frameworks, prompt orchestration, response validation, self-correction loops
• Integrate AI agents with observability, incident management, deployment, and runtime platforms
• Implement safety, reliability, and compliance guardrails (policy enforcement, rollback strategies, circuit breakers)
• Optimise performance, cost, and latency through prompt engineering, caching, routing, batching, and streaming

Profile

• Bachelor’s degree in a quantitative or computational field (Master’s / PhD preferred)
• 7+ years of experience in applied ML, data science, or software engineering in production environments
• Strong hands-on development in Python (or C++ / Java / Go), building large-scale applications
• Practical expertise with LLMs: prompt engineering, fine-tuning/adaptation, RAG, tool-calling agents, vector search
• Experience building secure, explainable, and reliable AI systems with strong governance and auditability
• Comfortable collaborating across engineering, infrastructure, and operations teams with measurable business outcomes

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