To Apply for this Job Click Here

Senior/Lead Credit Risk Analyst

Salary
£70,000-£90,000 + equity

Location + work pattern
London (Hybrid – 3 days per week in office)

THE COMPANY
This organisation is a rapidly scaling FinTech business focused on helping individuals better manage their finances. With a strong social impact focus and significant recent investment, they are expanding their lending capabilities and building a best-in-class credit risk function. The business operates at scale across the UK and internationally, offering a unique opportunity to work with rich behavioural and transactional data.

THE ROLE
You will play a key role in shaping and optimising credit strategy for an evolving lending portfolio, working within a collaborative and high-performing analytics team. This is an opportunity to take ownership of strategy development and drive meaningful business impact.
Specifically, you can expect to be involved in:

• Designing and optimising credit risk strategies aligned with business objectives
• Analysing complex data sets to uncover insights and inform decision-making
• Collaborating with cross-functional teams to implement and refine strategies
• Monitoring performance of credit strategies and identifying opportunities for improvement
• Enhancing affordability and risk policies to ensure strong customer outcomes

YOUR SKILLS AND EXPERIENCE

• Experience in credit risk analytics within a consumer lending environment
• Must be currently in a fintech environment
• Experience using analytics to build and adjust credit risk strategy in either acquisitions, collections or Existing customer management.
• Strong SQL skills, with experience using data to generate actionable insights
• Ability to structure and solve complex analytical problems
• Experience working in fast-paced, data-driven environments
• Strong communication skills with the ability to explain insights to stakeholders

THE BENEFITS

• Competitive salary and performance-related incentives
• Hybrid working model with flexible arrangements
• Comprehensive private healthcare and wellbeing support
• Generous annual leave allowance with additional flexibility
• Access to a wide range of lifestyle and salary sacrifice benefits

THE PROCESS

• Initial conversation with the hiring team
• Technical and competency-based interview
• Final stage in-person interview
• Offer!

HOW TO APPLY
Please register your interest via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Role Title
Credit Analyst

Salary
£50,000-£70,000

Location + work pattern
London (Hybrid – typically 2 days per week in office)

THE COMPANY
This organisation is a UK-based FinTech focused on helping customers manage and reduce personal debt through innovative lending solutions. They leverage open banking data to better understand customer behaviour and improve financial outcomes. With strong growth and a clear mission-driven approach, they offer an opportunity to make a meaningful impact within a modern lending business.

THE ROLE
This role sits within a data and lending function, focused on improving decision-making processes across credit and underwriting. You will play a key part in automating decisions and enhancing the accuracy of lending strategies through data analysis.
Specifically, you can expect to be involved in:

• Developing and improving automated credit decisioning and underwriting processes
• Analysing lending and customer data to optimise risk and approval strategies
• Collaborating with product, engineering, and credit teams to enhance decision systems
• Utilising open banking data to deepen customer insights and risk assessments
• Evaluating affordability and improving methodologies used in lending decisions

YOUR SKILLS AND EXPERIENCE

• Experience working in credit risk within a lending environment
• Strong understanding of underwriting and data-led decisioning processes
• Proficiency in SQL for data analysis and querying
• Ability to interpret data and communicate insights to both technical and non-technical teams
• Familiarity with affordability assessment or open banking data is beneficial

THE BENEFITS

• Competitive salary and equity options
• Private medical insurance
• Opportunity to work in a purpose-driven, high-growth FinTech
• Collaborative and data-focused working environment

THE PROCESS

• Initial screening interview
• Live technical assessment (SQL-based)
• Business case discussion
• Final interview focusing on business case and cultural fit
• Offer!

HOW TO APPLY
Please register your interest via the apply link on this page

To Apply for this Job Click Here

To Apply for this Job Click Here

Graudate Data Science Role

This is an excellent opportunity to join a fast-growing, data-driven insurance business that is transforming how pricing and risk are approached. With strong investment in analytics and a high-performing team already in place, you will have the chance to work on impactful pricing problems while developing your skills in a highly commercial environment.
You will join the pricing team, playing a key role in analysing customer data and supporting pricing strategy.

The Role:

• Develop and refine pricing models to optimise customer acquisition and retention
• Analyse large datasets to identify trends and inform commercial decisions
• Collaborate with stakeholders to translate business requirements into data solutions
• Contribute to model development and testing within a regulated environment
• Support ongoing improvement of pricing processes and methodologies
• Work in a fast-paced team, delivering insights with real business impact

Your Skills and Experience

• Strong academic background in a quantitative discipline such as Mathematics or Physics
• Proven ability to work with data and build analytical models
• Experience or interest in pricing, insurance, or closely related commercial analytics
• Strong problem-solving skills, with the ability to think logically and clearly
• Comfortable communicating technical ideas to non-technical stakeholders
• Strong attention to detail and a structured approach to analysis

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Technical Program Manager (Fintech) | San Diego / San Francisco (Hybrid)

Salary: $325,000 base + bonus + equity

I’m partnering with a high-growth, privately held fintech that’s quietly building something very ambitious in the SMB lending space – and they’re looking for a deeply technical, execution-first AI TPM to help bring it to life.

This is not a “keep the trains running” TPM role. This is a 0→1 builder opportunity at a company making a meaningful bet on AI transformation.

The Mission

The company is re-imagining how small business lending works – starting with fully automating underwriting decisions for a large segment of loans.

Think:

• AI-driven credit decisions
• Real-time underwriting workflows
• Intelligent document parsing + triage
• Blending internal models with best-in-class third-party AI solutions

The goal is simple but powerful:
Reduce cost-to-serve → increase efficiency → pass savings to customers via better rates.

The Role

You’ll act as the right hand to the Chief Credit Officer, owning execution across a growing portfolio of AI initiatives.

This role sits in a newly formed AI Transformation team (currently ~5, scaling to 10) at a company that is already technically sophisticated – but now entering its next phase of maturity.

What you’ll do:

• Own end-to-end program management across multiple AI workstreams
• Drive execution across internal data science teams + offshore engineering + 3rd party vendors
• Manage dependencies, risks, delivery timelines, and reporting
• Play an active role in AI discussions – this is not a surface-level coordination role
• Evaluate vendor performance: data quality, model outputs, ROI
• Help operationalize AI into production underwriting workflows

First 6-12 Months

• Deliver meaningful progress toward AI-powered underwriting automation (~90% for smaller loans)
• Stand up and scale vendor + data partnerships
• Collaborate with risk/analytics teams to validate and refine AI outputs
• Drive measurable efficiency gains without increasing headcount

What They’re Looking For

This is a high bar role – ideal for someone who thrives in fast-moving, ambiguous environments and wants real ownership.

Must-have:

• 5+ years of Technical Program Management experience
• 2+ years working directly on AI / ML initiatives
• Fintech experience (required) – ideally within lending / credit

Strong signal profile:

• Former engineer or engineering leader turned TPM
• Experience in both large financial institutions and scrappy environments
• Proven 0→1 ownership of complex initiatives
• Ability to operate in the weeds, not just at a high level

Not a Fit If

• You’ve only operated at big companies without hands-on execution
• You’ve primarily managed other TPMs rather than owning delivery yourself
• You’re looking for a fully remote role

Logistics

• Location: San Diego (preferred) or San Francisco
• Work model: Hybrid (3 days/week in office)
• Relocation support available
• Must be US Citizen or Green Card holder

Compensation

• Base: $250K – $350K
• Bonus: 20%
• Equity: Private company shares (flexible for the right hire)

Why This Role

• True 0→1 AI transformation in a real revenue-generating business
• Direct partnership with executive leadership
• Highly visible, impact-driven work tied to core business outcomes
• Opportunity to shape how AI is actually deployed in production – not just experimentation

If you’re a technical builder who wants to own meaningful AI programs in fintech (and see them through to real-world impact), I’d love to connect.DM me for more details – happy to share more context confidentially.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead AI Engineer

London (Hybrid, 1 to 2 days per week)

The Company
They are a leading UK consumer-focused financial services business with a broad product portfolio and millions of customers. Operating at scale, they are investing heavily in AI to enhance customer experience, drive efficiency, and strengthen risk and fraud capabilities. A new generative AI team is being built to sit within a broader AI and MLOps function, moving from contractor-led delivery to a permanent, strategically aligned capability. This is a high-visibility area with strong internal demand and clear executive backing.

The Role
You will lead the design and delivery of AI solutions that directly impact core operations and customer journeys.

• Own end-to-end delivery of AI systems, from problem definition through to production
• Design and deploy LLM and RAG-based solutions, including chat assistants for customer support and contact centre optimisation
• Drive automation across complaints handling, triage, fraud detection, and customer data workflows
• Define architecture and make decisions around build versus buy solutions
• Work closely with engineering, product, and risk teams to ensure compliant and scalable solutions
• Implement robust MLOps practices including monitoring, evaluation, and system reliability

Your Skills & Experience

• Strong commercial experience delivering production-grade AI systems end to end
• Deep expertise in generative AI, including LLMs, RAG, and agent-based systems
• Solid software engineering background with experience in scalable system design and APIs
• Hands-on experience with MLOps, including deployment, monitoring, and lifecycle management
• Proven ability to lead multiple AI initiatives and deliver measurable business outcomes
• Experience working in large, complex organisations with high data volumes

What They Offer

• Competitive pension and benefits package
• Hybrid working with flexibility
• Opportunity to shape a new AI capability within a large organisation
• Clear progression as the AI function scales

How to Apply
If you are interested in leading AI innovation in a high-impact, enterprise environment, apply now to find out more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Engineer
London (Liverpool Street – 3x week) | £120,000 – £160,000 + benefits
This is a rare opportunity to shape the technical core of a fast-scaling data platform backed by private equity. You will work directly with the CTO to unify multiple data businesses into a single AI-native platform, combining hands-on engineering with strategic influence at board level. If you enjoy solving complex data challenges at scale and building from first principles, this role offers significant scope and impact.
The Company
They are a growing data platform business built through the acquisition of specialist data companies across multiple markets. Backed by a well-established private equity partner, they are scaling quickly and expanding their global footprint. Each business within the group brings unique datasets and capabilities, and the long-term vision is to unify these into one intelligent, AI-driven platform. The organisation combines technical ambition with a pragmatic, commercially focused approach to growth.
The Role
You will act as a technical partner to the CTO, helping to define and deliver a unified data platform across the group. This role blends hands-on engineering with leadership and strategic input.

• Build and lead the development of a centralised, AI-native data platform
• Design and implement scalable data systems, APIs, and integration layers
• Lead technical due diligence and post-acquisition integration of new businesses
• Establish AI engineering standards and best practices across the group
• Develop and deploy AI-driven tools and agents to improve data quality and velocity
• Contribute directly to production code while shaping platform architecture
• Engage with senior stakeholders, including presenting technical strategy at board level
• Support the gradual growth of a high-performing, small engineering team

Your Skills & Experience

• Strong commercial experience building and scaling data platforms, APIs, or data products
• Hands-on programming expertise with Python, SQL, and TypeScript
• Ability to operate across both engineering delivery and high-level architecture
• Experience working with large, complex datasets and data pipelines at scale
• Comfortable navigating hybrid environments including cloud and on-premise systems
• Strong communication skills, with the ability to engage technical and non-technical stakeholders
• Commercial awareness and an understanding of how data products drive business value
• Background as a senior individual contributor or technical leader in high-impact environments

What They Offer

• Opportunity to work directly with senior leadership and influence business-critical decisions
• Exposure to private equity-backed growth and acquisition strategy
• Significant scope to build and shape a platform and team from an early stage
• Benefits package to be confirmed

How to Apply
If you are interested in this opportunity, please submit your CV to discuss further

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Engineering Manager

London (Covent Garden – 4 x week) £100,000 to £120,000

This is a unique opportunity to join a high-performing value creation team within a private equity environment, where data sits at the centre of commercial decision-making. You will play a key role in shaping how portfolio businesses leverage data, analytics, and AI to drive measurable growth, working across strategy and hands-on delivery.

The Company

They are a specialist private equity firm focused on investing in lower mid-market businesses. Their model centres on driving value through operational improvement, with a dedicated internal team focused on data, analytics, and AI initiatives across the portfolio. The environment is collaborative, commercially driven, and offers strong exposure to senior stakeholders across multiple businesses.

The Role

You will work across a portfolio of companies, delivering impactful data projects from inception through to implementation.

• Partner with senior leadership including C-suite stakeholders to define data strategies and priorities
• Design and build modern data platforms, including ingestion pipelines and scalable architectures
• Deliver data collection, transformation, and analytics frameworks to support business growth
• Identify and implement high-value analytics and AI use cases
• Translate commercial challenges into technical solutions with clear business outcomes
• Balance hands-on engineering work with strategic input across multiple projects
• Operate as a trusted voice of authority across both technical and non-technical teams

Your Skills and Experience

• Strong commercial experience in data engineering within complex or fast-paced environments
• Advanced SQL and Python, with end-to-end ownership of data pipelines and architecture
• Experience designing and delivering modern data platforms and ingestion frameworks
• Strong understanding of analytics and how data drives business value
• Ability to communicate effectively with senior stakeholders and influence decision-making
• Experience working across both strategy and delivery, with a pragmatic approach
• Exposure to AI or machine learning use cases is beneficial
• Comfortable working across multiple projects and adapting to different business contexts

What They Offer

• High-impact role with exposure to senior leadership and strategic initiatives
• Strong work-life balance with a collaborative and supportive culture
• Office based in Covent Garden with a hybrid model (four days in office)
• Opportunities to work across diverse industries and complex data challenges
• Clear progression opportunities within a growing function

How to Apply

If you are interested in this role, please submit your application for consideration.

To Apply for this Job Click Here

To Apply for this Job Click Here

Marketing Data Analyst
London | £80,000 + Benefits | Hybrid (3 days in office) | 12-13 month FTC
This is a unique opportunity to join a highly regarded digital-first business in a role focused on marketing and customer analytics. Sitting within an established analytics function, you will work closely with performance marketing stakeholders to drive insight, optimise campaigns and influence commercial decisions. The role offers strong exposure to senior stakeholders and the chance to work with large-scale customer data in a fast-moving environment.
The Company
They are a global, technology-led business with a strong digital presence and a long-standing reputation for innovation. With a large and diverse customer base, they generate significant volumes of behavioural and marketing data that underpin decision making across the organisation. Data and analytics are central to their strategy, with continued investment in tools, people and capability. The business offers a collaborative and fast-paced culture, distinct from traditional organisations in its sector.
The Role

• Analyse marketing campaign performance across digital channels to deliver actionable insights
• Support customer acquisition, retention and engagement strategies through data-driven recommendations
• Partner closely with performance marketing teams to optimise campaigns and improve ROI
• Design and evaluate A/B tests and experimentation frameworks
• Build dashboards and automate reporting to enable self-service analytics
• Act as a key point of contact for marketing analytics, supporting stakeholders with data-driven decision making
• Collaborate with product, engineering and analytics teams to improve data capabilities

Your Skills & Experience

• Strong SQL capability, including experience working with large datasets
• Commercial experience in marketing analytics, particularly digital performance marketing
• Hands-on experience with A/B testing and experimentation
• Familiarity with tools such as Google Analytics or similar web analytics platforms
• Ability to translate data into clear insights for non-technical stakeholders
• Experience working in a technology-led, digital or high-growth environment
• Exposure to modern data tools such as DBT is beneficial but not essential

What They Offer

• Salary of £80,000
• 12 percent flexible benefits allowance
• Hybrid working with three days per week in the office
• Modern central London office location
• Opportunity to influence senior stakeholders and shape marketing analytics strategy
• Exposure to a growing analytics function with potential longer-term opportunities

How to Apply
If you are interested in this Marketing Data Analyst role, please apply with your CV and we will be in touch to discuss further.

To Apply for this Job Click Here

To Apply for this Job Click Here

Marketing Data Analyst

London (Hybrid – 3 days onsite) – Up to £80,000

The Opportunity

We’re partnering with a leading global fintech organisation looking to hire a Marketing Data Analyst to join their growing analytics function. This is an exciting opportunity to work at scale, analysing high-impact marketing data and driving commercial decision-making in a fast-paced, data-driven environment.

You’ll play a key role in shaping marketing strategy through insight generation, working closely with cross-functional teams including product, engineering, and marketing.

Key Responsibilities

• Analyse marketing campaign performance across digital channels
• Deliver insights on acquisition, LTV, attribution, engagement, and retention
• Support segmentation and targeting strategies using data
• Partner with marketing teams to optimise campaign effectiveness
• Build automated dashboards and data pipelines for self-service reporting
• Act as the go-to expert for marketing data and performance insights

What We’re Looking For

• Strong background in data analytics
• Advanced SQL skills and experience building data pipelines (e.g. DBT, Airflow)
• Experience with marketing analytics tools (e.g. Google Analytics, GTM, Braze, Appsflyer, Firebase)
• Proven experience running A/B tests and defining KPIs and attribution models
• Strong stakeholder management and communication skills
• Experience with data visualisation tools (e.g. Looker or similar)

Ways of Working

• Hybrid working model (3 days in the office)
• Collaborative, cross-functional team environment
• Strong focus on innovation, ownership, and continuous improvement

Benefits

• Competitive salary + performance-related bonus
• Flexible working and work-from-home options
• Private medical, pension, and insurance plans
• Ongoing career development and access to learning platforms
• Paid volunteering days
• Social events, clubs, and networking opportunities
• Enhanced annual leave, including your birthday off

How to Apply

If you’re a data-driven analyst with a passion for marketing insights and want to make a real commercial impact, we’d love to hear from you.

Apply now by submitting your CV or contact me directly!

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Marketing Data Analyst
London, Hybrid
Salary up to £80,000

This is an opportunity to join a high-performing analytics function where marketing data drives genuine commercial impact. You will work on complex datasets, influence strategic decisions, and help shape the performance of large-scale digital marketing initiatives within a globally recognised, data-driven environment.

The Company
They are a well-established, global fintech organisation operating at significant scale, with a strong presence across multiple international markets. The business combines innovation with deep industry expertise, providing a platform where data plays a central role in decision making. With a strong focus on technology and continuous improvement, they invest heavily in their analytics function. Their culture encourages curiosity, accountability, and collaboration across teams.

The Role
You will act as a key partner to marketing and product teams, using data to optimise campaign performance and improve customer outcomes.

• Analyse marketing campaign performance across digital channels
• Provide insights on acquisition, lifecycle value, attribution, engagement, and retention
• Support segmentation and targeting strategies through data analysis
• Collaborate with stakeholders to improve marketing effectiveness and ROI
• Build and maintain dashboards and automated reporting solutions
• Develop and manage data pipelines to enable scalable analytics workflows
• Act as the go-to expert for marketing data and performance insights

Your Skills and Experience

• Strong commercial experience in analytics within a marketing or digital environment
• Advanced SQL skills and experience building data pipelines with tools such as DBT or Airflow
• Experience with marketing analytics platforms such as Google Analytics, GTM, Braze, Appsflyer, or Firebase
• Strong understanding of experimentation, A B testing, and attribution modelling
• Experience developing KPIs and performance frameworks for marketing
• Proficiency with data visualisation tools such as Looker
• Confident stakeholder engagement skills, with the ability to translate data into actionable insight

How to Apply
If you are interested in applying for this Marketing Data Analyst role, please submit your CV for consideration.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff ML Engineer
NYC – 4 Days on site
Up to $300K + equity

Company

A fast-growing AI-native platform is looking for many ML Engineer / Staff ML Engineer. The company design a platform for modern finance teams, helping businesses eliminate manual work and accelerate growth.

Mission

As part of the AI team, you’ll build automation and machine learning features end-to-end, from concept to release. You’ll collaborate with top engineers, product leaders, and scientists to design groundbreaking products that redefine financial operations.

Profile

• Proven track record in engineering, data science, computational research, or applied sciences

• Strong command of Python; experience with ML frameworks a plus

• Masters + 5 years, Bachelors + 8 years, or PhD + 1 year/postdoc

• Creative builder, comfortable in high-growth startup environments

• Willingness to work onsite in NYC 4-5 days/week

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff ML Engineer
USA – Remote (Need to be in the USA already)
Up to $225K

Company

A rapidly growing AI-first fintech company revolutionizing financial advice using LLMs and agentic automation. Founded by serial entrepreneurs with prior exits and backed by top-tier strategic investors.

Mission

You’ll lead technical development on high-impact generative AI products, with ownership across design, modeling, fine-tuning, evaluation, and production deployment. Your work will power intelligent financial guidance systems used across advisory, B2B, and consumer-facing interfaces.

Key Responsibilities

• Fine-tune open-source and proprietary LLMs for summarization, reasoning, planning

• Build and optimize RAG pipelines with embedding tuning, reranking, hybrid search

• Lead implementation of agentic workflows for AI agents acting autonomously

• Apply reinforcement learning techniques (PPO, DPO, etc.) to improve model behavior

• Deploy models at scale with high availability and low latency

• Work closely with engineering and product to deliver end-to-end systems

Profile

• 5+ years experience in ML/AI engineering

• Proven experience building and shipping GenAI products

• Deep expertise in LLMs (LoRA, QLoRA), vLLM, fine-tuning, RAG, RLHF

• Familiarity with LangChain, LangGraph, CrewAI or similar frameworks

• Experience in high-paced, product-driven environments (startups a plus)

To Apply for this Job Click Here