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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.

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Platform Engineer

Location: London (2 days in Office)

Salary: Up to £80,000

This is an opportunity to join a small, high-impact platform engineering team at a well-funded, product-led technology business undergoing a major technical transformation. You will play a key role in reshaping core infrastructure, driving automation, and influencing architectural decisions during a significant modernisation programme.

The Company

They are a venture-backed technology business operating in the financial technology space, building a platform that brings together complex data to deliver intelligent, long-term insights for users. The organisation works with a broad client base and manages data at significant scale, while remaining independent and advice-led rather than product or asset focused. Engineering is central to their strategy, with a strong emphasis on quality, innovation, and long-term thinking.

The Role

• Design, build, and evolve scalable platform infrastructure with a strong focus on automation and reliability.
• Play a key role in a planned re-architecture of Kubernetes clusters, tooling, and core platform fundamentals over the next year.
• Collaborate closely with engineers across the platform, data, and wider technology teams.
• Champion infrastructure as code and modern DevOps practices to improve delivery and operational efficiency.
• Contribute ideas, challenge existing approaches, and help shape the future technical direction of the platform.

Your Skills and Experience

• Strong commercial experience building and operating Kubernetes-based platforms.
• Experience working with cloud environments such as AWS, GCP, or Azure.
• Hands-on knowledge of infrastructure as code, ideally with Terraform or similar tools.
• Confidence working in a fast-moving, collaborative environment where change is constant.
• Ability to communicate clearly, share ideas, and work closely with others to deliver impact.

What They Offer

• Enhanced parental leave, mental health support, study support, and work-from-home equipment.
• A dog-friendly office and regular team and seasonal socials.
• Potential for equity review after probation, dependent on performance and business needs.

How to Apply

If you are a Platform Engineer looking to make a real impact on modern infrastructure at scale, apply now to learn more about this opportunity.

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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.

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Junior Computer Vision Engineer

Amsterdam (West) and hybrid working

Salary: €60,000 including holiday allowance

This is a rare opportunity to join a highly technical AI team working on real world computer vision systems deployed at scale. You will be hands on from day one, building end to end computer vision solutions that have a clear commercial impact, while learning from experienced AI engineers in a fast moving startup environment.

The Company

They are a growing B2B technology business developing automated inspection systems using advanced computer vision. Their platform captures and analyses large volumes of images in seconds to assess vehicles, helping partners reduce cost and improve operational efficiency. The company has been operating successfully for several years and is backed by a larger industrial group, combining startup pace with long term stability.

The Role

• Design and build computer vision solutions focused on object detection and 3D image understanding
• Work end to end across the computer vision pipeline, from camera systems and data collection through to model training and deployment
• Develop and optimise models that process high volumes of images in real time
• Collaborate closely with other AI engineers in a small, highly technical team
• Contribute to production ready systems used by external customers

Your Skills & Experience

• Strong foundations in computer vision, including object detection and image recognition
• Exposure to 3D computer vision or multi camera systems
• Experience developing in Python and working with machine learning models
• Understanding of model training, architecture choices and deployment workflows
• Comfortable working independently and delivering solutions in short timeframes
• Academic or project background in computer vision, data science or a related field

What They Offer

• High impact role with exposure to real world production systems from day one
• A collaborative, hands on culture suited to people who enjoy smaller, fast moving teams

How to Apply

If you are excited by applied computer vision and want to grow in a highly technical environment, apply now to find out more.

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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.

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Senior Engagement Manager – Analytics Consulting

Up to 120k plus benefits

Hybrid – London

A growing analytics and advisory business is looking to hire a Senior Engagement Manager to support the expansion of its client consulting capability across financial services and adjacent sectors.

This is an opportunity to join a business investing heavily in data, analytics and strategic advisory services, helping clients solve complex commercial and customer challenges using insight-led solutions.

The role offers significant exposure to senior stakeholders, high-impact project work and strong long-term progression opportunities.

The Role

You will lead client engagements focused on delivering commercially driven analytics and consulting solutions across a range of strategic business areas.

Responsibilities include:

• Managing end-to-end delivery of analytics and consulting projects

• Building trusted relationships with senior client stakeholders

• Translating data and analytical insight into clear business recommendations

• Supporting business development activities including proposals and presentations

• Working closely with technical and analytical teams to deliver scalable solutions

• Contributing to the growth and development of a growing consulting function

Projects may cover areas such as customer strategy, risk, growth, optimisation, segmentation and operational performance.

About You

We are looking for candidates with experience in analytics consulting within financial services or other highly regulated, data-rich industries.

You should bring:

• Financial services consulting experience is essential

• Experience leading client-facing projects and managing senior stakeholders

• Strong commercial and strategic thinking skills

• The ability to communicate complex ideas to both technical and non-technical audiences

• Exposure to analytics, insight or data-led decision making

• Familiarity with analytical tools, data environments or visualisation platforms

• Experience working in consulting, professional services or advisory environments

What’s on Offer

• Opportunity to join a growing and evolving consulting practice

• High-profile client exposure

• Clear progression and leadership potential

• Hybrid working environment

• Competitive compensation package

Find out more and apply via the link below.

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Lead Analyst

London | Up to £100,000 plus equity

This is a senior individual contributor role where analytics directly influences product direction and commercial outcomes. You will play a key role in shaping personalisation within a highly data-led environment, working on complex customer journeys with clear ownership and visibility across the business.

The Company

They are a well-established, fast-growing digital business operating in a regulated consumer space. Known for their strong data culture and product-first mindset, they invest heavily in analytics to drive decision-making. The organisation is in a phase of international growth, with this role focused on a key expansion market. Teams are lean, collaborative, and operate to high standards.

The Role

• Drive personalisation across app and digital journeys to ensure customers see the most relevant products and experiences.
• Partner closely with product teams to define and deliver a long-term personalisation strategy.
• Use data to determine which products or messages to surface at different stages of the customer lifecycle.
• Collaborate with data science teams on recommendation systems and propensity models.
• Conduct funnel analysis to identify drop-offs and improve conversion and engagement.
• Lead and contribute to A/B testing and experimentation to measure uplift from product changes.
• Analyse and report on performance metrics including conversion rates, engagement, and customer behaviour.
• Work cross-functionally with product managers, engineers, and developers in a pod-style setup.

Your Skills & Experience

• Strong commercial analytics experience within a consumer or product-led environment.
• Advanced capability in SQL and Python, with Python central to analytical work.
• Experience with experimentation, A/B testing, and measuring product or feature impact.
• Exposure to propensity modelling, recommendation systems, or predictive analytics.
• Confident translating complex analysis into clear, actionable insights for stakeholders.
• Comfortable operating in a fast-paced environment with high expectations.

What They Offer

• Salary up to £100,000.
• Equity as part of the overall package.
• A high-impact role within a successful and growing organisation.
• Clear ownership, autonomy, and exposure to senior stakeholders.
• Hybrid working with Tuesday, Wednesday, and Thursday based in a London office.

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Job Title: Product Data Scientist – Hybrid – Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.

• Define and align key business metrics, ensuring consistency and accuracy across teams.

• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.

• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.

• Collaborate across functions to close data gaps and drive analytics best practice.

• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.

• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).

• Ability to translate business challenges into clear analytical projects and recommendations.

• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.

• Curious, proactive, and detail-oriented problem solver.

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

• Hybrid working (2 days per week in London office)

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

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Research Manager, Analytics (4 days in office, Fridays WFH)
Up to £60,000, London
Series A-B B2B Research Tech Startup (~50 people)

We’re partnered with a fast-growing research technology startup using AI to transform how organisations understand people. The business combines advanced analytics with modern research methods to deliver deeper insights, faster and at significantly lower cost than traditional research approaches.

As the company launches a new AI-driven product, they’re hiring a Research Manager to take ownership of analytics and modelling across client research projects.

The Role

This is a hands-on role focused on pushing the boundaries of quantitative analytics within research. You’ll lead complex modelling work, set best practice for analytics, and independently deliver end-to-end research projects.

Key Responsibilities

• Own analytics workstreams across major research projects

• Deliver advanced analysis including segmentation, factor reduction and regression modelling

• Set standards and best practice for analytics and segmentation

• Automate repeat analytical tasks for trackers and long-running projects

• Run end-to-end research projects (primarily quant; some qual/mixed methods)

• Contribute to proposals and RFPs

About You

Essential

• 3+ years’ experience in analytics and/or research using survey data

• Hands-on experience with regression, factor analysis and segmentation techniques

• Strong data wrangling, cleaning and weighting skills

• Proficiency in R or Python for analysis and visualisation

• Curious, exploratory approach to finding insight in data

Nice to have

• Experience with Bayesian as well as frequentist methods

• Understanding of the full market research project lifecycle

Interview Process

• Screening questions

• Talent interview

• Hiring Manager interview

• In-person task (with opportunity to meet Founder & C-suite)

Find out more and apply via the link below.

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