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Marketing Data Analyst

London – Hybrid (3 days office)
Up to £80,000 + benefits

We’re working with a FTSE 250 fintech operating a large-scale digital trading and investment platform. The business is fast-moving, data-driven, and heavily invested in analytics across marketing, product, and customer growth.

The Role

You’ll join a specialist analytics team focused on Performance Marketing, delivering insight to optimise acquisition, conversion, and campaign effectiveness.

Key areas:

• Performance marketing & campaign analysis
• A/B testing & experimentation
• Digital funnel & customer acquisition analysis
• Google Analytics reporting
• Stakeholder-facing insight & recommendations

What We’re Looking For

• Strong SQL (essential)
• Performance marketing / digital analytics experience
• A/B testing & experimentation exposure
• Google Analytics experience
• DBT exposure (nice to have)
• Tech, fintech or scale-up background preferred
• Strong communication & stakeholder skills

Why Join?

• FTSE 250 fintech environment
• Large-scale digital & customer datasets
• Strong investment in analytics
• High commercial impact & visibility

Interview Process

• Stage 1: Online SQL assessment (1 hour, Codility)
• Stage 2: Final interview (1 hour)

Find out more and apply via the link below!

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Marketing Data Analyst – 12 month FTC

London – Hybrid (3 days office)
Up to £80,000 + benefits

We’re working with a FTSE 250 fintech operating a large-scale digital trading and investment platform. The business is fast-moving, data-driven, and heavily invested in analytics across marketing, product, and customer growth.

The Role

You’ll join a specialist analytics team focused on Performance Marketing, delivering insight to optimise acquisition, conversion, and campaign effectiveness.

Key areas:

• Performance marketing & campaign analysis
• A/B testing & experimentation
• Digital funnel & customer acquisition analysis
• Google Analytics reporting
• Stakeholder-facing insight & recommendations

What We’re Looking For

• Strong SQL (essential)
• Performance marketing / digital analytics experience
• A/B testing & experimentation exposure
• Google Analytics experience
• DBT exposure (nice to have)
• Tech, fintech or scale-up background preferred
• Strong communication & stakeholder skills

Why Join?

• FTSE 250 fintech environment
• Large-scale digital & customer datasets
• Strong investment in analytics
• High commercial impact & visibility

Interview Process

• Stage 1: Online SQL assessment (1 hour, Codility)
• Stage 2: Final interview (1 hour)

Find out more and apply via the link below!

To Apply for this Job Click Here

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VP Credit Risk – Data Science, Analytics & Strategy

Remote within US

No visa sponsorship

Up to $250,000 + Bonus

A fast‑growing SMB finance business is hiring a senior credit leader to help take an already‑strong credit operating system into its next phase.

The foundations are in place:

solid underwriting, established portfolio monitoring, deployed controls, and proven growth. The focus now is speed, automation, and intelligence – scaling ML‑driven decisioning so portfolio insights translate directly into automated offers, pricing, and limit actions across the credit funnel.

This role is designed to add deep external ML and analytics firepower to the organisation – not just to refine rules, but to help push credit strategy into the future and spearhead credit analytics for the organisation.

What you’ll be responsible for

• Owning credit policy and analytics across origination, portfolio monitoring, and customer management.
• Leading the next generation of ML‑driven credit models, including portfolio‑level modelling, monitoring, drift detection, and retraining strategy.
• Helping transition credit decisions toward increasingly automated offers and funnels, without sacrificing risk discipline.
• Translating portfolio signals into clear policy, pricing, and growth actions at speed.
• Partnering closely with Product, Engineering, and Operations to productionise analytics into decision engines.
• Acting as a visible senior leader and external benchmark for the credit and analytics team to aspire to.

What they’re looking for

• 8-12+ years in credit, decision science, analytics, or risk within fintech, SMB lending, cards, or adjacent data‑intensive environments.
• Very strong ML and analytics fundamentals, especially applied to portfolio‑level decisioning.
• Experience working in businesses where data and models directly drive live credit decisions.
• Comfortable moving beyond rule‑based credit toward more automated, model‑driven strategies.
• SMB experience preferred, but equally valuable is proven work in messy, real‑world credit environments.
• A leader who can both raise the technical bar and inspire the next layer of talent.

Why this role is interesting

• Credit and analytics fundamentals are already strong – this is about propelling the system forward, not rebuilding it.
• Significant scope to shape how ML is embedded into credit strategy over the next few years.
• High visibility role with real influence over product direction and growth.
• Opportunity to be the external reference point in a scaling credit organisation.

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Staff Data Scientist – Credit Risk & Marketplace

Up to $280k base + significant equity

New York | In‑office (3-4 days/week)

We’re partnering with a Series A fintech building a credit‑led marketplace – a platform where data science sits at the heart of both credit decisioning and marketplace optimisation.

This is a rare opportunity to join at a stage where models are still being defined, not inherited. The team is hiring a Senior to Staff‑level Data Scientist to help shape the decision engine that determines who gets access to credit, how risk is priced, and how the marketplace allocates supply and demand.

They’re open to two backgrounds – but only at the very top end of the market:

• Credit / lending data scientists
• Elite marketplace data scientists (pricing, ranking, matching, experimentation)
• ✅ Successful Series A (o similar) experience is strongly preferred

Why This Role Is Different

Most DS roles optimise metrics. This one moves money. Your models will directly impact:

• Credit approval decisions
• Pricing and margin
• Portfolio performance and growth velocity

This is not a reporting or support role – it’s a core decision‑making seat for someone with a high grade ML / Data Science skillset.

What You’ll Do

• Design, build and iterate on credit underwriting and pricing models used in live production
• Tackle high‑stakes, constrained optimisation problems across credit and marketplace decisioning
• Apply causal and experimental thinking where clean A/B tests aren’t possible
• Own the full lifecycle: EDA → modelling → deployment, partnering closely with engineering
• Help define modelling standards, trade‑offs, and decision frameworks at an early stage

Who They’re Looking For

• Staff‑level Data Scientist
• Strong preference for successful Series A (or early Series B) experience
• Background in credit, lending, fintech, BNPL, or adjacent decisioning‑heavy domains like marketplace
• PhD or PhD‑level rigour strongly preferred (but not required if experience demonstrates depth)
• Strong Python & SQL; comfortable owning production‑facing logic
• Someone who thrives in ambiguity, speed, and ownership

Compensation & Logistics

• Base salary up to $280k (depending on level)
• Significant equity
• NYC based, 3-4 days in office
• No visa sponsorship
• If you’ve already helped scale a Series A company – and want to do it again with real ownership and influence – this is a rare opportunity.

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Overview

We are hiring a Senior ML Engineer / Applied Scientist to build and improve production machine learning systems that power real-time fraud and risk decisions at global scale.

This is a hands-on role focused on solving complex machine learning problems from first principles. You’ll work on models that influence millions of customer transactions, own experimentation end-to-end, and help shape the future of a rapidly growing fintech platform.

This is not a role for someone simply deploying pre-built models or integrating AI APIs. We are looking for candidates who can take an ambiguous business problem, design a solution, validate it scientifically, and deliver measurable impact in production.

What You’ll Do

Build and Improve Fraud Detection Models

• Design, develop, and deploy machine learning models used for real-time fraud detection
• Develop ensemble modeling approaches that improve decision quality and model performance
• Create new predictive features and signals from large-scale transaction data
• Improve fraud detection accuracy while maintaining a strong customer experience

Drive Experimentation and Model Innovation

• Design and execute machine learning experiments from hypothesis through deployment
• Build robust offline evaluation methodologies and validation frameworks
• Develop new approaches for measuring model effectiveness prior to production release
• Apply statistical methods to evaluate model improvements and business impact

Own ML Systems End-to-End

• Build and maintain scalable machine learning pipelines
• Work with distributed data processing systems using Spark
• Partner with Product, Engineering, and Risk teams to translate business challenges into technical solutions
• Own projects through the full ML life-cycle, from concept to production

What We’re Looking For

Required Experience

• 4+ years of experience developing machine learning solutions in production environments
• Strong proficiency in Python, SQL, and Spark
• Deep understanding of machine learning, statistics, and experimental design
• Experience building models from scratch rather than primarily consuming third-party AI services
• Strong knowledge of model evaluation methodologies and performance measurement
• Experience working with large-scale datasets in distributed environments
• Ability to own technical initiatives from ideation through deployment

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Head of Engineering – eCommerce

Location: Mountain View, CA (3 days/week on site minimum)

Compensation: $300,000-$325,000 base + bonus + RSUs

About the Company

Harnham is partnering with a Fortune 500 leader in cybersecurity and digital trust, combining the scale of a global enterprise with the agility of a startup culture. The company protects hundreds of millions of users worldwide, boasts best-in-class retention, and maintains an unwavering commitment to innovation.

Its platform processes over half a million telemetry events per second, and following a major fintech acquisition in 2025, the organization has significantly expanded its footprint in New York City.

The Role

They are looking for a Head of eCommerce Engineering to oversee a growing global engineering team of 20+ professionals. This is a highly visible, reporting directly to the executive team and partnering with the C-suite.

Key responsibilities include:

• Lead architecture and technical direction for global eCommerce platforms, modernizing legacy Java systems into AI-enabled solutions
• Oversee checkout, billing, subscriptions, payments, and third-party payment integrations at global scale
• Drive cloud and database modernization strategies, including Azure/AWS and OracleDB migration planning
• Provide hands-on architectural guidance, influence AI adoption, and elevate engineering capabilities across teams
• Partner with senior engineers, architects, and cross-functional leaders to improve scalability, reliability, and engineering practices while challenging legacy approaches

Ideal Candidate Profile

• 12+ years of experience preferred, with expertise in large-scale eCommerce, payments, platform modernization, and AI-assisted system design
• Background in high-scale consumer platforms and leading legacy-to-modern transformation initiatives
• BS in Computer Science or related field required; MS preferred
• Strong Java backend, system architecture, and cloud experience (Azure required, AWS a plus)
• Experience with commerce platforms, React, code/architecture reviews, and leading global engineering teams
• Proven ability to influence technical direction and challenge legacy approaches with credibility
• Preferred experience in payments, subscription billing, AI-driven modernization, OracleDB migrations, and cybersecurity/fintech domains

BENEFITS

The compensation package contains a base salary, bonus, RSUs and a comprehensive benefits package.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Software Engineering | Leadership | eCommerce | Engineering | Fintech | Customer | Customer-Facing | Direct-to-Consumer | B2C | Product | Production | Real Time | Director | Regulation | Payments | Compliance | Regulatory | Startup Environment | Executive | Scale | Scaling | Artificial Intelligence | Java | Billing | Real-Time

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Vice President, Data Engineering
Dallas, TX | $230K-$300K total compensation (includes bonus)

This is a high-impact leadership opportunity to shape enterprise-wide data platforms within a globally scaled, highly regulated environment. You will play a central role in standardising financial and risk data across divisions, combining hands-on engineering with strategic leadership in a true player-coach capacity.

The Company

Globally recognised financial services organisation operating at significant scale across investment banking, asset management and trading. Their centralised engineering function supports critical areas including finance, risk and compliance. The business is investing heavily in data platform convergence, governance and regulatory readiness, with a clear mandate to standardise and unify data across the organisation. This creates a unique opportunity to influence transformation at scale.

The Role

You will lead the design and delivery of modern data engineering platforms that enable consistent, governed financial data across multiple business units. Your responsibilities will include:

* Leading architecture and development of scalable data pipelines and platforms
* Driving data standardisation across finance, risk and treasury functions
* Improving data lineage, governance and regulatory reporting alignment
* Acting as a hands-on technical lead, including code reviews and system design
* Supporting the adoption of cloud-based data platforms using AWS and distributed processing tools

Your Skills & Experience

* Strong commercial experience in data engineering and backend systems
* Expertise in distributed data processing using Spark or similar technologies
* Experience with cloud platforms, particularly AWS and tools such as Databricks or Glue
* Proven capability in designing data models for financial or regulatory systems
* Strong system design and architecture skills
* Experience leading or mentoring engineering teams in complex environments
* Background in financial services or another highly regulated domain

What They Offer

* Competitive VP-level package with total compensation typically between $275K and $300K
* Bonus and equity as part of a comprehensive rewards structure
* Opportunity to lead large-scale data transformation across critical financial systems
* Clear progression within a global engineering organisation
* Exposure to senior stakeholders and high-impact regulatory initiatives

To Apply for this Job Click Here

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This role is about making the right decisions, shaping architecture, and raising the engineering bar. You’ll use AI tools as force multipliers while maintaining high standards for correctness, maintainability, performance, and testing.

What You’ll Do

• Own technical quality across design reviews, code reviews, testing, and production readiness
• Collaborate with product, design, and engineering to shape solutions and tradeoffs
• Architect frontend-first, full-stack systems that are modular, scalable, and resilient
• Improve performance, reliability, and maintainability across the stack
• Champion functional programming and immutability for simpler, more predictable systems
• Leverage AI-assisted development (prototyping → refinement → production hardening)
• Build and enforce robust testing strategies (unit, integration, UI, end-to-end)

What You Bring

• 8+ years building production web applications
• Expert in TypeScript + React, with strong experience in Next.js (SSR) or similar frameworks
• Strong full-stack fundamentals and experience designing scalable systems
• Ability to clearly communicate technical tradeoffs to both technical and non-technical stakeholders
• Track record of building simple, reusable, and adaptable systems
• Deep understanding of testing strategies and CI-driven development
• Proven mentorship and leadership through code reviews and technical guidance

AI/LLM-Assisted Engineering

• Hands-on experience with AI-powered dev tools (e.g., Cursor or similar)
• Strong judgment on when to rely on AI-and when not to
• Ability to explore multiple approaches quickly and converge on high-quality, production-ready solutions (not “AI-generated” code)

Why This Role

• Work in a modern AI-augmented engineering environment
• Influence architecture and engineering standards
• Solve complex problems with a high degree of ownership and autonomy
• Be part of a team that values craft, clarity, and thoughtful decision-making

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Role Title
Senior Actuarial Analyst

Salary
£45,000-£55,000

Location + work pattern
London (flexible hybrid working)

THE COMPANY

• A forward-thinking insurance business focused on innovative and niche areas of the motor insurance market.
• Operating with a lean, high-calibre team, the company has invested heavily in its actuarial and pricing capabilities in recent years.
• The business takes a technology-driven approach, using modern tools to support growth and decision-making.

THE ROLE
This is a broad and hands-on actuarial role, with a strong focus on capital modelling alongside exposure to reserving and pricing. You’ll play a key role in supporting regulatory processes and providing insights that influence business strategy.
Specifically, you can expect to be involved in:

• Running and maintaining the internal capital model and supporting regulatory submissions
• Producing Solvency II reporting outputs and assisting with actuarial reporting processes
• Supporting reserving analyses and contributing to ongoing monitoring activities
• Developing forecasting and scenario analysis to support business decisions
• Collaborating with stakeholders across the business, including pricing and underwriting teams

YOUR SKILLS AND EXPERIENCE

• Experience in general insurance within actuarial, capital modelling, reserving or pricing
• Working knowledge of actuarial concepts and regulatory frameworks (e.g. Solvency II)
• Programming capability, ideally with Python
• Strong analytical skills with the ability to interpret and communicate results clearly
• A proactive attitude and ability to work independently in a fast-paced environment

THE BENEFITS

• High level of ownership and autonomy within your role
• Exposure to senior stakeholders and business decision-making
• Opportunity to work across multiple areas of actuarial (capital, reserving, pricing)
• Support for professional development and actuarial study
• Flexible working arrangements

THE PROCESS

• Initial 30-minute interview focused on experience and motivations
• Technical interview with actuarial team members
• Final interview with senior leadership focusing on culture and fit

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

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AI Automation Lead

London (3 Days a week)

The Company
They are a well-established investment-focused organisation with a strong track record of managing sophisticated portfolios. The business fosters a collaborative and forward-thinking culture, where technology and data are central to operational excellence. With a focus on innovation and continuous improvement, they are investing heavily in modern data and AI capabilities to drive impact across core functions. The environment encourages ownership, creativity, and cross-functional collaboration.
The Role

• Design and deliver a fully automated, end-to-end reporting platform
• Build intelligent workflows to automate data ingestion, validation, and reconciliation processes
• Develop scalable systems that replace manual operational tasks with robust, observable solutions
• Implement exception handling and human-in-the-loop mechanisms where needed
• Ensure systems are accurate, auditable, and resilient in a production environment
• Collaborate closely with cross-functional stakeholders to translate operational requirements into technical solutions

Your Skills and Experience

• Strong commercial experience in applied AI or automation engineering within operational environments
• Strong programming skills in Python and SQL
• Experience building data pipelines and integrating systems via APIs and structured data feeds
• Proven ability to build reliable, production-grade systems with monitoring and testing in place
• Experience with version control and CI/CD practices
• Strong system design capability with an end-to-end mindset

What They Offer

• Competitive salary and comprehensive benefits package
• Opportunity to build a high-impact AI platform from inception
• A collaborative and inclusive working culture
• Strong exposure to modern AI, data engineering, and automation technologies
• Clear scope for professional growth and ownership of key systems

How to Apply
If you are interested in applying for this Applied AI Engineer role, please submit your CV for consideration.

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Are you a Product Analyst who loves understanding user behaviour, running experiments, and helping product teams build better digital experiences? I’m hiring for a Product Analyst role at a well‑established consumer platform offering discounts and perks to millions of UK users. The business is scaling internationally and evolving into a more tech‑led organisation, giving you massive data, real ownership, and exposure to strategic product work.

You’ll sit within the central Data function and partner closely with Product Managers to analyse user journeys, run A/B tests, and provide the insights that shape product decisions. This is a hands‑on, impact‑driven role in a modern data environment with huge opportunities to influence the product roadmap.

What you’ll be doing

• Apply quantitative analysis and storytelling to understand how users interact with the platform and what drives behaviour.
• Use data proactively to uncover opportunities, size problems, and generate hypotheses for testing.
• Design, run, and analyse A/B tests and experiments in partnership with product teams.
• Define and track meaningful product metrics; ensure consistent measurement across teams.
• Build and maintain core data products enabling self‑serve insights and faster product decisions.
• Conduct deep dives into user journeys, drop‑off points, behaviour segments, funnel performance, and platform trends.
• Collaborate cross‑functionally with engineers, data teams, product, commercial, and marketing stakeholders.
• Contribute to the Insights Hub and documentation repositories, keeping analytical knowledge up‑to‑date.

What you bring

Must‑haves:

• Strong SQL skills.
• 5+ years hands‑on experience with product analytics in a tech or consumer‑app environment, ideally companies like Monzo, Deliveroo, Just Eat, marketplaces, or membership/loyalty platforms.
• Experience running and evaluating A/B tests and experimentation frameworks.
• Ability to translate business problems into analytical tasks and communicate clear, actionable insights.
• Strong storytelling ability, turning numbers into narratives

Good to have:

• Experience working with large‑scale customer behaviour datasets.
• Experience in consumer tech, fintech, loyalty platforms, or other high‑traffic digital products.
• Python/R/dbt exposure (not required).

Industry background:
While open, the strongest fits tend to come from tech‑first consumer products where experimentation, app behaviour insights, and funnel optimisation are standard ways of working.

The culture & offer

• A modern, data‑mature environment with over four million UK users and expanding globally.
• A product‑led organisation investing heavily in experimentation and user behaviour analytics.
• Private equity backing driving international expansion and new capabilities.
• Salary up to £90k depending on experience.
• Offices in London and Leicester – 1-2 days a week

To Apply for this Job Click Here

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Technical Program Manager (AI Transformation) – San Diego (Hybrid) – $250k/$350k + Bonus

I’m partnered with my client, a leading player in the financial services / lending space, who is scaling their AI capabilities to transform how they deliver credit solutions.

They are seeking a Technical Program Manager to lead execution across high-impact AI initiatives and drive modernization across their lending platform.

What You’ll Be Doing:

• Own delivery of AI-powered initiatives across underwriting, pre-underwriting, and sales workflows
• Build and manage end-to-end execution plans, including milestones and dependencies
• Collaborate with engineering and data teams on architecture and system integrations
• Ensure strong governance, auditability, and deployment processes
• Coordinate MLOps workflows, including model deployment and monitoring
• Act as the key liaison across technical and business stakeholders

What My Client Is Looking For:

• Proven experience in Technical Program Management (5-10 years)
• Track record delivering AI/ML systems or complex technical products
• Strong knowledge of cloud (Azure), APIs, and system integration
• Experience working with CRM platforms such as Salesforce
• Must have a financial services background (fintech, lending, or similar regulated environment)
• Strong problem-solving skills and ability to structure complex initiatives

Why Join:

• Join a business undergoing significant AI-led transformation
• Work on impactful initiatives improving customer experience and operational efficiency
• Collaborate with a forward-thinking team in a high-growth environment

If you’re interested in learning more, feel free to reach out directly.

Technical Program Manager (AI Transformation) – San Diego (Hybrid) – $250k/$350k + Bonus

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