financial services DATA RECRUITMENT

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Senior Product Analyst
London (Hybrid, 3 days per week) Up to £70,000

This is an opportunity to join a fast growing, digital first organisation where product analytics plays a central role in shaping customer experience and commercial outcomes. You will be embedded within a product focused environment, partnering closely with Product and Engineering to drive data led decisions across high impact initiatives.

The Company
They are a modern, technology driven business operating at scale within a highly regulated industry. With a strong focus on customer outcomes and innovation, they invest heavily in data and analytics to support product development and strategic growth. The organisation values autonomy, collaboration and thoughtful problem solving, offering a mature analytics culture where insight genuinely influences decisions.

The Role

• Act as the embedded analytics partner within a product area, shaping how insight informs product strategy
• Define and own product performance metrics, ensuring clarity, consistency and trust
• Analyse complex datasets to uncover trends, risks and opportunities that impact customer experience and commercial performance
• Design and evaluate experiments to support product development and optimisation
• Translate ambiguous business problems into clear analytical approaches and actionable insight
• Communicate findings clearly to a wide range of technical and non-technical stakeholders

Your Skills & Experience

• Strong SQL capability with experience working with large, complex datasets
• Background in product, commercial or customer analytics within a fast paced environment
• Experience using BI tools such as Tableau, Looker or Power BI, with Python exposure beneficial
• Comfortable structuring open ended problems and working independently
• Confident communicator who can influence stakeholders through clear, data driven storytelling

What They Offer

• Salary up to £70,000 plus a competitive benefits package
• Hybrid working with three days per week in a London office
• High impact role with strong ownership and visibility
• Opportunity to shape analytics within growing product areas and progress your career

How to Apply
If you are a Product Analyst looking for ownership, influence and meaningful impact, apply now.

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Senior Marketing Analyst
London | Up to £85,000 plus equity

This is a high-impact analytics role sitting at the heart of growth and marketing decision-making within a fast-paced, product-led environment. You will work on complex attribution and customer journey challenges, with real influence over how marketing investment is measured and optimised, particularly across a key international growth market.

The Company
They are a highly data-driven digital business operating in consumer financial products. The organisation is well established, commercially successful, and known for its strong analytics culture. Teams are lean, collaborative, and focused on using data to drive measurable outcomes. The business is continuing to scale internationally, with analytics playing a central role in that growth.

The Role

• Partner closely with growth and marketing teams to support performance analysis and strategic decision-making.
• Analyse marketing spend across digital channels to assess effectiveness and return on investment.
• Track and evaluate customer acquisition sources to understand channel contribution and efficiency.
• Develop and improve attribution approaches, including multi-touch attribution, while accounting for privacy and tracking limitations.
• Optimise marketing and application funnels by identifying drop-offs and conversion opportunities.
• Analyse end-to-end customer journeys across multiple financial products and recommend alternative pathways where appropriate.
• Build models to answer complex commercial questions, such as the incremental impact of new channels or campaigns.
• Apply statistical and experimental techniques to support testing, measurement, and business decisions.

Your Skills & Experience

• Strong commercial marketing analytics experience within a consumer-facing digital environment.
• Advanced capability in SQL and Python, with Python used for modelling and analysis.
• Hands-on experience with attribution modelling and evaluating marketing effectiveness.
• Experience analysing complex customer journeys and funnel performance.
• Comfortable working with experimentation, uplift measurement, and statistical techniques.
• Confident communicator, able to translate analysis into clear, actionable insight for senior stakeholders.

What They Offer

• Salary up to £85,000.
• Equity as part of the overall package.
• A role with genuine ownership and exposure to senior growth and marketing leadership.
• A high-performing, data-led environment with strong standards and clear impact.
• Hybrid working, with Tuesday, Wednesday, and Thursday based in a London office.

How to Apply
If you are interested in this opportunity, please apply to learn more about the role and the wider analytics team.

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Director of Performance Marketing

London, hybrid working. Base salary £150,000 – £200,000 plus equity and benefits.

This is a rare opportunity to build the growth engine of a fast-scaling consumer fintech. You will take a strong performance marketing foundation and turn it into a differentiated advantage, shaping how millions of customers discover, join, and grow with a leading digital product.

The Company
They are a high-growth, app-led consumer financial services business on a mission to redefine how people engage with their money. With a multi-product ecosystem and a rapidly expanding customer base, data, AI, and experimentation sit at the heart of their strategy. Marketing is seen as a strategic growth driver, with meaningful investment in brand, performance, customer analytics, and MarTech. You will join a modern, collaborative leadership team that is focused on sustainable, profitable growth.

The Role
As Director of Performance Marketing, you will:

• Own the long-term performance marketing strategy for profitable new customer growth.
• Lead channel investment strategy, planning, and budgeting across paid social, search, and app acquisition.
• Build and refine measurement frameworks, from attribution and incrementality to media mix and unit economics.
• Partner closely with Product, Data, Customer Analytics, and CRM to optimise the full funnel, from impression to in-app activation and value.
• Lead and develop the performance marketing function, including a high-performing team and agency partners.
• Embed a rigorous test-and-learn culture across channels, audiences, creative, and propositions.
• Champion the use of AI and advanced analytics to drive workflow efficiency, insight, and optimisation.
• Act as a senior thought partner to the executive team on growth opportunities, risk trade-offs, and performance forecasts.

Your Skills And Experience
You will be a strong fit if you have:

• Proven success in scaling acquisition for a consumer-focused digital business, such as fintech, subscription, marketplace, or app-led services.
• Deep hands-on understanding of performance channels, especially Meta, Google, and app store acquisition.
• Strong commercial mindset with experience managing large budgets and performance-driven investment decisions.
• Advanced analytical capability, comfortable with data, experimentation, and incrementality measurement.
• Experience working with or alongside customer analytics, product, and MarTech teams to drive holistic growth.
• Confidence leading agencies and internal teams, with a collaborative, low-ego leadership style.
• Curiosity about AI and how it can enhance marketing effectiveness and decision-making.

What They Offer

• Base salary in the range of £150,000 – £200,000, depending on experience.
• Meaningful equity, plus a comprehensive benefits package.
• Senior visibility and influence across the executive and product leadership teams.
• The chance to shape the growth model of a high-potential consumer fintech at a pivotal stage.
• A culture that values data, experimentation, and continuous learning.

How To Apply
If you are a commercially minded Director of Performance Marketing who wants to build and own a high-impact growth engine in London, please apply with your CV to find out more.

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Overview

We are seeking a Senior Data Modeler to join a growing Enterprise Data & Analytics team. This is a newly created role focused on delivering high-impact analytics that directly support day-to-day business decision-making. The position plays a critical role in shaping dimensional data models, strengthening the data warehouse, and partnering closely with business stakeholders to translate requirements into scalable analytic solutions.

This is a hands-on individual contributor role that blends strong technical expertise with stakeholder engagement and business understanding.

Key Responsibilities

• Partner directly with business and domain stakeholders to gather, analyze, and clarify data and analytics requirements
• Translate business needs into dimensional data models and design artifacts
• Implement enhancements and changes within an existing enterprise data warehouse
• Build and maintain gold-layer data models to support reporting and dashboards
• Collaborate closely with data modeling peers and senior analytics leadership
• Participate in regular meetings across technical and business teams
• Support analytics consumption through well-structured, performant SQL models
• Contribute within an Agile delivery environment

Required Skills & Experience

• Strong experience with dimensional data modeling (Kimball methodology)
• Advanced SQL skills for analytics and data consumption
• Hands-on data warehouse development experience
• Experience implementing and enhancing enterprise-scale data models
• Ability to work directly with business stakeholders and translate needs into technical solutions
• Excellent verbal and written communication skills

Preferred / Nice-to-Have Skills

• Experience with Snowflake
• Experience with data integration tools such as Matillion
• Familiarity with Power BI or similar BI platforms
• Python experience (preferred but not required)
• Experience working in Agile development environments

Ideal Candidate Profile

• Background in data engineering, analytics engineering, or data modeling
• Comfortable being hands-on while collaborating across technical and business teams
• Independent thinker who enjoys solving complex business problems with data
• Highly driven, proactive, and adaptable
• Strong ability to articulate design decisions clearly and confidently

Education

• Bachelor’s degree in Computer Science or a related field (or equivalent professional experience)

Career Growth

This role offers clear growth opportunities over the next 2-3 years, with paths into:

• Deeper specialization as a business domain partner, or
• Broader technical progression toward a senior or architect-level role

Work Environment

• Hybrid work model
• Agile, collaborative team culture
• Opportunity to work across multiple domains and technologies

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Data Engineer

Location: New York Metro (Hybrid)

Pay: $150k – $200k base + bonus

About the Role & Company

This is an opportunity to join a highly technical, growth-focused investment organisation operating at the intersection of technology, data, and capital. The firm invests exclusively in technology and technology-enabled businesses and maintains a flat, meritocratic culture with strong emphasis on collaboration, trust, and engineering judgment.

The organisation is undergoing a significant data and AI transformation, building foundational infrastructure from the ground up to support investment decision-making, portfolio analysis, and automation. This role sits at the centre of that effort and works closely with investment professionals and senior technical leadership.

Responsibilities

• Build and maintain production-grade data pipelines across structured and unstructured data sources
• Organise and structure fragmented internal and external datasets into scalable, reliable systems
• Design and implement data architecture using modern cloud platforms (e.g., AWS, Snowflake)
• Enable downstream analytics and AI-driven workflows through high-quality data foundations
• Independently evaluate and select appropriate tools and technologies
• Support lightweight AI or agent-based workflows embedded within broader systems
• Partner closely with technical leadership and non-technical stakeholders to support real investment use cases
• Ensure data reliability, scalability, and maintainability across systems

Must-Have Qualifications

• 2-4 years of experience in data engineering or analytics engineering
• Strong proficiency in SQL and Python
• Hands-on experience building and maintaining production data pipelines
• Experience working with cloud data platforms Snowflake, AWS
• Solid understanding of data architecture and engineering trade-offs
• Ability to work independently with strong technical judgement

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Senior Risk Analyst

Salary
£47,000-£57,000

Location + work pattern
Solihull (Birmingham) | Hybrid working (3 days per week in the office)

THE COMPANY

• A UK consumer lender backed by a large international financial services group.
• Operates in a fast‑moving, product‑led environment with strong links to major retail partners.
• Known for combining scale, data access and governance with agile ways of working.

THE ROLE

This is a senior individual contributor role within a credit risk function supporting the launch and ongoing optimisation of a major new consumer finance product. You’ll play a key part in shaping acquisition and onboarding strategies while working closely with senior stakeholders across the business.
Specifically, you can expect to be involved in:

• Developing and enhancing acquisition, onboarding and credit policies across unsecured lending products.
• Building and refining scorecards, affordability models, limits and pricing strategies.
• Using bureau, internal and alternative data sources to inform risk decisions.
• Supporting end‑to‑end strategy delivery across the credit lifecycle, including exposure management and collections.
• Preparing and presenting analysis and recommendations to senior risk forums and committees.

YOUR SKILLS AND EXPERIENCE

• 3+ years’ experience within credit risk, analytics or strategy in a consumer lending environment.
• Strong understanding of the UK credit market, ideally within unsecured lending products.
• Experience working with credit data to develop or support scorecards, policies or risk strategies.
• Confident stakeholder communicator, able to explain analytical outputs to non‑technical audiences.
• Hands‑on experience with SQL and/or SAS, with a willingness to learn new tools such as Python.

THE BENEFITS

• Opportunity to work on a high‑impact new product launch with access to large‑scale, rich datasets.
• Fast‑paced environment where ideas and strategy changes can be implemented quickly.
• Exposure to senior stakeholders and visible contribution to business performance.
• Supportive, collaborative team culture with strong knowledge sharing.
• Competitive salary and benefits package.

THE PROCESS

• Initial short interview focused on role alignment and experience.
• Technical assessment and presentation exercise.
• Final competency‑based interview, ideally held onsite.

HOW TO APPLY

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

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Senior AI Engineer
New York / San Francisco (in person)
Up to 300K base + bonus

I’m working on an exclusive search for a Senior AI Engineer to join a high‑calibre investment organization that is building an internal AI and data science capability from the ground up.This is a hands‑on, senior‑level engineering role with real ownership. You’ll sit close to decision‑makers and design production AI systems that directly influence how investments are sourced, evaluated, and monitored.

The opportunity

• Act as the technical lead for advanced AI and LLM‑driven systems used across investment workflows
• Own architecture and complex builds, including agentic workflows, RAG systems, and evaluation frameworks
• Lead development of high‑impact projects spanning research, diligence, portfolio monitoring, and knowledge management
• Set technical direction, review code, and mentor engineers while remaining fully hands‑on
• Partner closely with non‑technical stakeholders to translate AI capabilities into intuitive, high‑value tools
• Evaluate vendors, platforms, and infrastructure with clear build vs buy recommendations

Background they’re looking for

• 5+ years of software engineering experience, including 2+ years building production AI/ML or LLM‑based systems
• Strong Python fundamentals and experience with cloud infrastructure (AWS) and CI/CD
• Deep understanding of modern LLM patterns: embeddings, vector databases, prompt engineering, RAG, agentic systems, and evaluation
• Experience delivering end‑to‑end AI products, not just prototypes
• Comfortable leading technically in a small, high‑impact team
• Clear communicator who can work effectively with non‑technical partners
• Financial services experience is a plus, but curiosity about investment decision‑making is essential

Why this is compelling

• Rare chance to build AI platforms from scratch inside a decision‑driven environment
• Significant technical ownership and visibility at senior levels
• Small team with high expectations and real influence
• Competitive compensation and strong long‑term upside

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You’ll architect and deploy production-grade Generative AI and agentic systems, shape engineering standards, and play a key role in driving AI adoption across the organization.

What You’ll Do

• Build and scale LLM-powered applications (GPT-class + open-source models)
• Design RAG pipelines, prompt frameworks, and context management systems
• Develop agentic AI systems (multi-agent orchestration, tool use, memory, planning)
• Architect high-performance backend APIs (FastAPI, gRPC) for AI services
• Design and operate cloud-native ML infrastructure (AWS, GCP, or Azure)
• Implement MLOps / LLMOps pipelines (MLflow, SageMaker, Kubeflow, etc.)
• Drive best practices in Python engineering, testing, and CI/CD
• Partner with leadership on AI strategy, tooling, and platform direction

What You Bring

• 10+ years of experience in ML Engineering / Data / Backend systems
• Deep expertise in Python and scalable system design
• Hands-on experience with LLMs, RAG, and modern AI frameworks
• Strong background in cloud infrastructure + distributed systems
• Experience building production-grade APIs and ML pipelines
• Proven ability to mentor engineers and influence technical direction

Nice to Have

• Experience with agentic frameworks (LangGraph, AutoGen, CrewAI)
• Exposure to vector databases (Pinecone, Weaviate, pgvector)
• Background in regulated environments or AI governance
• Cloud certifications (AWS / GCP / Azure) or advanced degree

Why Join Us?

• Work on cutting-edge AI systems with real business impact
• Influence platform strategy and architecture at scale
• Collaborate with a high-caliber AI/ML team
• Own initiatives from concept → production

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Savings Product Analyst

Salary
£40,000

Location + work pattern
Reading | Hybrid working (3 days per week in the office)

THE COMPANY

• A profitable, well-capitalised UK challenger bank
• The business has grown from a specialist finance provider into a fully licensed bank with a strong focus on customer-focused products.
• The savings division is expanding, with continued investment in pricing, product development and performance insight.

THE ROLE

This is a newly created role within the Savings team, supporting the commercial management of savings products. You will work closely with a senior product lead, gaining exposure to pricing, performance analysis and new product development.
Specifically, you can expect to be involved in:

• Supporting day-to-day commercial management of savings propositions.
• Producing pricing analysis, performance insight and management information.
• Conducting market and competitor analysis to inform product decisions.
• Assisting with product governance activities and new savings proposition development.
• Working cross-functionally with teams such as Treasury, Operations and Marketing, as well as external partners.

YOUR SKILLS AND EXPERIENCE

• Around 1+ year of experience in an analytical, commercial or pricing-focused role.
• Ability to analyse data and present insights clearly to stakeholders.
• Strong Excel skills, with confidence handling data and building analysis.
• Interest in financial services; experience in savings products is beneficial but not essential.
• Exposure to Power BI or similar reporting tools is desirable.

THE BENEFITS

• Base salary around £40,000 plus annual bonus.
• Private healthcare.
• Employer pension contribution of 6.5%.
• Hybrid working model with a collaborative office environment.
• Opportunity to learn closely from an experienced product leader in a growing team.

THE PROCESS

• First-stage interview with senior stakeholders covering role fit and experience.
• Technical interview focused on analytical and commercial skills.
• Final short interview via Microsoft Teams.
• Offer!

HOW TO APPLY

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

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We’re looking for an accomplished VP, Software Development to lead a globally distributed engineering team of 300+ engineers within a consumer technology leader operating a portfolio of well-known financial and digital services brands.

Hopefully you will be comfortable joining a company that operates at massive scale, processing hundreds of thousands of events per second through its data platforms.

Culture

• Busy and pioneering environment within a large, Fortune 500 company
• Operates with a lean, hands-on leadership style
• Emphasis on technical credibility and pragmatic decision-making
• Leaders are expected to challenge assumptions and drive clarity (without being hands-on coders)

The Role

• Own and scale customer-facing applications across web and mobile platforms
• Lead integration of newly acquired products into the broader platform ecosystem
• Drive growth initiatives across multiple product lines, including fintech offerings
• Champion AI adoption across engineering teams and product experiences
• Oversee deployment of AI-powered features already in production
• Identify and unlock productivity gains through AI and automation
• Explore new revenue and product opportunities leveraging LLMs and emerging technologies
• Operate as a highly visible leader, partnering closely with C-suite to drive transformation

Ideally you will have:

• Strong experience in FinTech, Financial Wellness or Consumer Facing Apps & Platforms (on a global scale)
• A background in building and scaling large-scale, real-time, customer-facing (B2C) systems
• Comfortable working across modern tech stacks (e.g., Java, React, Scala or similar)
• Experience with platform evolution or tech stack migrations (a plus)
• Experience as a technically credible leader able to challenge decisions and guide engineering direction in a globally distributed team
• A passion for driving impact and leading change in complex organisations
• Confidence operating in a highly visible, executive-facing role.

For more information and to apply:

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Senior AI Engineer

Locations: San Francisco, CA Work Arrangement: 4-5 days per week onsite (In-person collaboration focus) Compensation: $425,000 – $600,000 Total Cash (Base + ~50% Performance Bonus)

The Opportunity

Our client is a premier global technology investment firm with a 26-year track record of excellence and over 200 employees. Despite their scale, they maintain a flat, entrepreneurial, and “deeply technical” culture.

They are currently seeking a Senior AI Engineer(VP Level) to help lead a digital transformation. This is not a “maintenance” role; you will be tasked with reimagining the future of private equity. You will build the AI agents and autonomous workflows that will automate and augment the high-volume analytical work currently performed by investment professionals.

Note: This role does not support sponsorship’s

The Mission

Your goal is to move the firm beyond legacy workflows (Excel, email, and PowerPoint) and toward an AI-augmented investment process.

• Focus: Building production-grade agentic systems and AI applications that drive business value.

• Philosophy: Our client is not training foundational models from scratch. Instead, you will use off-the-shelf models (OpenAI, Anthropic, etc.) and focus on sophisticated orchestration, RAG systems, and workflow integration.

• Impact: You will identify repetitive, associate-level tasks and build systems where AI performs 80% of the heavy lifting, allowing humans to focus on high-level refining and decision-making.

Key Responsibilities

• Architect & Build: Design and deploy AI-powered systems and agent-based frameworks into production.

• Integrate: Develop the architecture to connect LLMs with diverse data sources, including AWS, Snowflake, Salesforce, and external alternative datasets (market research, web traffic, etc.).

• Collaborate: Work directly with Investment Partners and Operating Teams to translate complex investment processes into automated AI workflows.

• Innovate: Serve as a technical leader in deciding when to use single vs. multi-agent systems and selecting the appropriate LLM for specific use cases.

Candidate Profile

We are looking for a builder, not a maintainer. The ideal candidate likely comes from a high-growth startup environment (Series A-C) or a specialized internal product team.

Technical Requirements

• Foundation: 5-10 years of professional experience, including at least 4+ years of core software engineering.

• AI Pivot: A deliberate focus over the last 2-4 years on Generative AI and LLM application design.

• Stack: Mastery of Python and Cloud Infrastructure (AWS preferred).

• Data Savvy: Experience with Snowflake and modern data pipelines (Fivetran, etc.). Exposure to financial data (EBITDA, market data) is a significant plus.

Soft Skills & Mindset

• Entrepreneurial: You thrive in a flat organization where you are expected to take ownership and manage your own work.

• “Code-Switcher”: Ability to communicate technical architecture to engineers while explaining business value to Senior Investment Partners.

• Practicality: You prioritize shipping functional, high-impact tools over theoretical or academic exercises.

Why Join?

• High Visibility: This role is integrated into the investment team; you will interact with firm leadership daily.

• Modern Tools: The team is already leveraging AI-assisted coding (Claude Code) and modern data stacks to move fast.

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