financial services DATA RECRUITMENT

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Senior Data Scientist
London 3 days a week

Join a fast-growing fintech that is investing heavily in its data science and risk capabilities. This role offers the opportunity to build impactful machine learning models from the ground up while working on business-critical challenges in lending and forecasting.

The Company
A profitable global fintech with strong growth, recent investment, and expanding international operations. They are continuing to scale their data and analytics function while modernising their technology and modelling infrastructure.

The Role

• Build and deploy machine learning models across the full lifecycle
• Develop and enhance Probability of Default (PD) models and scorecards
• Create revenue forecasting models using techniques such as XGBoost and CatBoost
• Partner with business stakeholders to solve complex commercial problems
• Support the evolution of data science infrastructure and best practices

Your Skills & Experience

• Strong commercial data science experience within fintech, lending, or financial services
• Experience with credit risk modelling and/or revenue forecasting
• Strong Python and SQL skills
• Experience with machine learning techniques, including boosting methods
• Ability to translate business problems into scalable data solutions

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PRODUCT MANAGER

SALARY UP TO £90,000

HYBRID WORKING (3 DAYS PER WEEK IN-OFFICE)

LONDON

Harnham are working with a fast-growing FinTech business that provides funding solutions to small and medium-sized enterprises through embedded finance partnerships. This is an excellent opportunity for a Credit Risk professional to join a high-performing analytics function and play a key role in shaping lending decisions and portfolio performance.

THE COMPANY

Harnham are working with a specialist UK financial services provider operating across property finance and lending. Having established a strong position within its market, the business is entering an exciting phase of growth and investment, with a particular focus on expanding its property division and enhancing its product offering. The culture is highly collaborative, with product teams working closely alongside commercial, finance, treasury, and operational stakeholders to drive innovation, improve customer outcomes, and identify new opportunities for growth.

THE ROLE

This is a senior individual contributor position focused on product proposition development, pricing strategy, and market analysis across mortgage and property lending products. You will work closely with a range of stakeholders to drive proposition performance and identify opportunities for future growth.

Specifically, you can expect to be involved in:

• Managing and evolving mortgage and property finance propositions.
• Conducting competitor analysis, market research, and product performance reviews.
• Assessing pricing strategies and recommending enhancements based on market trends.
• Producing and interpreting management information to identify opportunities and risks.
• Supporting the development and launch of new lending products and propositions.

SKILLS AND EXPERIENCE

The successful Product Manager must have the following skills and experience:

• Proven experience in product management, proposition management, or pricing within the mortgage sector.
• Strong knowledge of Buy-to-Let (BTL) and bridging finance products.
• Experience conducting competitor, market, and performance analysis.
• Ability to interpret management information and identify commercial trends.
• Strong stakeholder management skills and experience working across multiple business functions.
• Previous experience operating at Senior Manager, Lead, or equivalent level.

BENEFITS

The successful Product Manager will receive a salary up to £90,000.

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Lead Analytics Consultant
London / 1 day per month in the office
Up to £90,000 + Bonus

This is an opportunity to join a growing analytics function focused on building high-impact, production-ready analytical products. Rather than delivering one-off reporting, you’ll create scalable tools and applications that are used by both internal stakeholders and external clients, directly influencing business decisions and user experiences.

The Company
They are a well-established organisation with a growing focus on data and analytics innovation. Their analytics team operates as a business-facing function, partnering closely with consultants, commercial stakeholders and project teams to solve complex challenges. The team is investing in reusable products, frameworks and analytical applications designed to deliver long-term value. With continued growth plans, this is an excellent opportunity to play a key role in shaping the future of analytics delivery.

The Role
You will work across the full product lifecycle, from initial concept and requirements gathering through to deployment and user adoption.
Responsibilities include:

• Building production-ready analytical products and applications for business users
• Developing interactive dashboards, tools and data-driven applications
• Partnering directly with stakeholders to understand requirements and shape solutions
• Delivering analytical products that create measurable business impact
• Creating reusable frameworks, templates and components to improve team efficiency
• Translating complex business problems into practical analytical solutions
• Driving adoption and ongoing enhancement of analytical products
• Working in a highly collaborative, geographically distributed team environment

Your Skills & Experience

• Strong commercial experience developing analytical products and user-facing applications
• Advanced Python development skills
• Experience with technologies such as Shiny for Python, R Shiny, Streamlit, Dash or similar application frameworks
• Ability to take products from idea through to production deployment
• Strong stakeholder engagement and consulting capabilities
• Experience solving ambiguous business problems through data and analytics
• Comfortable working in a hands-on environment with a focus on building and delivering solutions independently
• Experience creating scalable and reusable analytical assets
• Backgrounds focused primarily on backend data engineering or data pipeline development are unlikely to align with the requirements of this role

What They Offer

• Lead salary of £90,000
• 25% bonus opportunity
• 10% pension contribution
• Comprehensive benefits package
• Flexible working with only one day per month required in London
• Opportunity to build impactful analytics products used across a growing business
• Clear scope to influence product strategy, delivery approaches and best practices
• Lead level role offers significant autonomy while remaining fully hands-on

How to Apply
If you have strong experience building analytical products with Python and enjoy working closely with stakeholders to deliver scalable, user-focused solutions, apply today for a confidential discussion.

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AI Product Manager

San Francisco

$200-250k base + bonus (No equity)

We’re partnering with a fast-growing financial services business that is using AI to fundamentally rethink how core business processes operate.

The company already has production AI agents live across credit and underwriting workflows and is now expanding that approach across Sales, Customer Lifecycle, Finance, and Capital Markets.

This is not a traditional product management role focused on feature backlogs and incremental improvements. The remit is to work directly with business teams, understand how processes operate today, and redesign them from the ground up using AI.

The Opportunity

You’ll work directly on a core AI initiative, owning projects from discovery through launch.

You’ll partner with business teams to understand their processes, identify where AI can help, and turn those needs into clear product requirements.

You’ll then work closely with engineering teams to bring those solutions into production.

It’s a high ownership role with strong exposure to senior stakeholders and a great opportunity to build deeper AI product experience.

What You’ll Be Doing

• Lead discovery sessions with business teams to understand existing workflows, pain points, exceptions, and opportunities for AI
• Translate complex business problems into clear AI product designs and technical briefs
• Reimagine workflows from first principles rather than simply automating existing processes
• Define product requirements, acceptance criteria, quality controls, and evaluation frameworks
• Manage specialist engineering partners through the build and delivery process
• Partner with Data Science and Engineering teams to define evaluation metrics, golden datasets, and production readiness standards
• Coordinate testing, shadow runs, and go live activity for new AI products
• Work closely with end users to drive adoption and ensure products solve genuine operational problems
• Measure post launch impact against defined baselines and identify opportunities for continued iteration

What We’re Looking For

• 3 to 5 years of experience across Product Management, Product Analysis, or a similar product focused role
• Hands on exposure to AI enabled products, LLM applications, or AI agents
• Strong experience running discovery with business stakeholders and turning ambiguous problems into structured solutions
• Ability to create clear product artefacts including process maps, requirements, design briefs, and specifications
• Comfortable working with engineers and challenging technical solutions when they do not align with the product intent
• Strong written communication and structured problem solving skills
• Comfortable operating independently in ambiguous, fast moving environments

Ideally You’ll Also Have

• Experience within an AI native, fintech, lending, or high growth technology environment
• Exposure to AI agents, LLM powered products, or workflow automation
• Experience managing external engineering partners or vendors
• Strong instincts around when AI genuinely adds value versus when a simpler solution is more appropriate
• Experience taking AI products from discovery through production and adoption

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Senior Data Architect

Los Angeles, CA

$220-260k base + bonus

We’re partnering with a large investment organization that is continuing to build out its enterprise data capabilities and is looking for a Senior Data Architect to help shape the next generation of its data platform.

This is a senior individual contributor role focused on enterprise data architecture, Databricks, data modeling, governance, and security. You’ll work closely with business and technical teams to design scalable data structures and standards that support analytics, operations, reporting, and AI use cases.

What You’ll Be Doing

• Design conceptual, logical, and physical data models across enterprise data platforms
• Build dimensional models using Kimball, 3NF, Data Vault, and related approaches
• Help define Databricks Lakehouse architecture, including medallion patterns and Delta Lake design
• Establish Unity Catalog standards for governance, lineage, access control, and data organization
• Partner with Data Engineering teams on pipelines, schema design, transformation logic, and performance
• Build data architecture standards, naming conventions, metadata frameworks, and data quality controls
• Work closely with business teams across Finance, Accounting, Investor Relations, and Investments to translate requirements into technical solutions
• Support security and privacy controls across sensitive enterprise data
• Help define how Databricks, Snowflake, MongoDB, and other platforms should be used across different workloads
• Support downstream ML, GenAI, and RAG use cases through well designed data foundations

What We’re Looking For

• Strong enterprise Data Architecture or Data Modeling experience
• Deep hands on experience with Databricks and Delta Lake
• Strong knowledge of dimensional modeling, Kimball, star schema, 3NF, and Data Vault
• Experience designing medallion architecture in Databricks
• Strong Unity Catalog experience across governance, lineage, and access controls
• Strong SQL skills and familiarity with enterprise data modeling tools
• Experience with Azure data platforms
• Strong understanding of data governance, security, privacy, metadata, and data quality
• Ability to work directly with senior business stakeholders and translate complex requirements into scalable architecture
• Comfortable operating independently in environments where standards and frameworks are still being built

Nice to Have

• Experience within financial services, private equity, asset management, or alternative investments
• Knowledge of investment data including funds, investors, NAV, capital calls, and distributions
• Experience building architecture standards from scratch
• Exposure to Snowflake, MongoDB, Kafka, CDC, and Azure Event Hubs
• Experience supporting AI, ML, or GenAI workloads
• Databricks, Azure, or TOGAF certifications

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AI Associate
Chicago, IL (4 days on-site) | $175,000-$200,000 + Bonus

The Opportunity

A leading investment firm is seeking an AI Associate to drive AI adoption across the business. This is a newly created role with significant ownership and exposure to senior leadership, focused on delivering practical AI solutions that improve efficiency and automate key workflows (internal product build focus).

You’ll be responsible for identifying opportunities, building solutions and driving adoption across investment, operations and corporate teams.

Responsibilities:

• Identify and prioritise high-impact AI use cases
• Assess workflows and uncover automation opportunities
• Build and deploy AI-powered tools and processes
• Partner with business stakeholders to drive adoption
• Measure impact and continuously improve solutions
• Support the firm’s broader AI strategy

Requirements:

• 3-5 years’ experience in Data Science & AI, digital transformation, consulting or operations
• Hands-on experience building AI workflows and automations
• Strong problem-solving and analytical skills
• Ability to translate business challenges into practical solutions
• Excellent stakeholder management and communication skills
• Comfortable working in a fast-paced, evolving environment, whilst also working autonomously.
• Technology – Experience with platforms such as Azure, Databricks, Copilot, Claude, ChatGPT or similar.
• Financial services experience is beneficial but not essential.

Why Join?

• Greenfield role with real ownership
• Direct exposure to senior leadership
• Opportunity to shape AI adoption across the firm
• Visible, measurable impact
• Collaborative and entrepreneurial culture

Package:

• $175,000-$200,000 base salary
• Performance bonus
• 4 days per week in the office
• Catered lunch
• On-site gym
• Additional employee benefits

This is an excellent opportunity for a hands-on AI practitioner who enjoys solving business problems and delivering tangible results.

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Senior Machine Learning Engineer

London (Hybrid)

This is an opportunity to join a newly established Machine Learning Engineering team building a greenfield AI product within a highly successful global technology business. You’ll have significant ownership from day one, helping shape the architecture, ML systems, and product direction of a platform designed to solve complex, high-value challenges at scale.

The Company

They are a global technology organisation operating across multiple international markets, processing billions of customer interactions and transactions each year. Backed by strong executive sponsorship and substantial investment, they are developing a new AI-powered platform focused on operational optimisation and decision intelligence.

The Role

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and operating production-grade ML systems from the ground up.

Responsibilities include:

• Building and owning end-to-end machine learning solutions, from data ingestion through to deployment and monitoring
• Developing scalable data pipelines that process large volumes of real-time and batch data
• Training, deploying, and maintaining machine learning models in production environments
• Working with Databricks, AWS, Python, Kafka, and modern MLOps tooling
• Leveraging machine learning, LLMs, and multimodal AI techniques across structured and unstructured data sources
• Collaborating with engineering, product, and business stakeholders to deliver impactful solutions
• Contributing to system architecture, platform design, and technical best practices
• Driving measurable improvements through AI-powered decisioning and automation

Your Skills & Experience

• Strong commercial experience as a Machine Learning Engineer, MLOps Engineer, or in a similar applied ML role
• Proven experience building and deploying machine learning systems into production
• Experience designing and maintaining scalable data pipelines and ML infrastructure
• Strong Python engineering skills
• Experience with Databricks and cloud platforms such as AWS
• Knowledge of production monitoring, model performance management, and MLOps best practices
• Ability to operate autonomously and take ownership of projects from concept through delivery
• Experience working with large-scale data environments
• Exposure to fraud, payments, financial services, or risk-related machine learning use cases would be advantageous

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Senior ML Engineer
London | £95,000

This is an opportunity to join a growing Machine Learning team focused on building scalable, production-grade solutions that solve complex real-world problems. Working within a greenfield environment, you’ll have the chance to shape ML systems from the ground up while delivering measurable impact across a high-volume platform.

The Company
They are a global technology business operating at significant scale, processing billions of transactions and interactions each year. The business is continuing to invest heavily in Data Science, Machine Learning, and automation, with a particular focus on building intelligent products that improve operational efficiency and customer outcomes. Their teams combine strong engineering principles with cutting-edge machine learning to deliver solutions used worldwide.

The Role

• Build and deploy production machine learning models that support large-scale automation and decision-making
• Design and optimise data pipelines, backend services, and ML infrastructure
• Develop and maintain feature stores and model-serving capabilities for real-time and batch use cases
• Take ownership of projects from problem definition through to production deployment and monitoring
• Work with structured and unstructured data to solve complex business challenges
• Collaborate with Data Scientists, Software Engineers, and Product teams to deliver scalable solutions
• Contribute to the development of greenfield machine learning products and capabilities
• Drive best practices across MLOps, monitoring, observability, and model lifecycle management

Your Skills & Experience

• Strong commercial experience within Machine Learning Engineering, Data Science, or MLOps
• Experience deploying, monitoring, and maintaining machine learning models in production environments
• Strong SQL and data engineering capabilities, with experience working on large-scale datasets
• Interest in AI technologies, including NLP, Computer Vision, LLMs, or Generative AI applications
• Experience building scalable data pipelines and ML systems
• Strong communication skills and the ability to work effectively across technical and non-technical teams

How to Apply
If you’re interested in this ML Engineer opportunity, please apply with your CV for immediate consideration.

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Agentic AI Software Engineer

Hybrid, Houston (4 days per week in office)

$160,000 – $180,000 Base Salary + Bonus

About the Role

You’ll design and build AI agents that reason across complex workflows, interact with enterprise tools and systems, and take action on behalf of users. This includes intelligent support agents that understand user intent, retrieve information, and resolve or escalate requests, along with the applications, data pipelines, and infrastructure that support them.

What You’ll Do

Agent Development

• Design and build AI agents and agentic workflows combining LLMs, APIs, RAG, and business logic
• Build secure integrations with enterprise applications, databases, and knowledge sources
• Develop agent memory, context, guardrails, and evaluation frameworks for reliable production use

Application Development

• Build user facing applications and backend services that power AI agent experiences
• Own features end to end, from backend and AI orchestration through frontend experience
• Ensure applications and agentic systems are scalable, secure, and enterprise ready

Data & Infrastructure

• Build data pipelines, ETL workflows, and integrations with the Databricks Lakehouse platform
• Build RAG pipelines enabling agents to retrieve and reason over enterprise data
• Implement CI/CD, testing, observability, and monitoring across AI and application systems

What You’ll Need

• Bachelor’s degree in computer science, Software Engineering, or a related field
• 8+ years building production grade software, including recent, dedicated experience building AI agents and agentic workflows
• Experience with LLMs, RAG, tool calling, or agent orchestration frameworks
• Full stack development experience, including APIs, backend services, and frontend applications
• Experience designing agent memory, context, retrieval, or evaluation systems

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LEAD CREDIT RISK ANALYST

SALARY BETWEEN £65,000-£70,000 + ANNUAL BONUS

HYBRID (1 DAYS PER WEEK IN-OFFICE)

CARDIFF

Harnham are working with a growing UK financial services business to recruit a Lead Credit Risk Analyst into their expanding credit strategy team. This is an excellent opportunity to play a key role in shaping the future of a developing lending product, with significant exposure to strategic decision-making and senior stakeholders.

THE COMPANY

Harnham are working with a well-established UK lender that combines data, analytics, and technology to deliver consumer finance products. As part of a wider financial services group, the business offers the stability of an established brand alongside the opportunity to influence a growing lending portfolio. With continued investment in its credit capabilities, the company is focused on improving customer outcomes, operational efficiency, and risk management through data-driven decision making.

THE ROLE

This role sits within the Credit Strategy function and offers the chance to influence lending decisions, optimise credit performance, and support the ongoing development of a growing loan portfolio. You’ll work closely with a range of stakeholders to develop strategies that balance growth, customer outcomes, and risk.

Specifically, you can expect to be involved in:

• Analysing portfolio performance, including approvals, referrals, arrears, and defaults.
• Identifying opportunities to improve automation across the credit decisioning process.
• Producing insight-led recommendations to enhance credit strategy and policy.
• Collaborating with Product, Underwriting, and Commercial teams on strategic initiatives.
• Monitoring and evaluating the impact of credit strategy changes.

SKILLS AND EXPERIENCE

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

• Experience within Credit Risk Strategy in a consumer lending environment.
• Strong analytical skills with the ability to translate data into actionable recommendations.
• Experience working with lending policies, scorecards, decisioning rules, and underwriting strategies.
• Advanced SQL skills, with Python considered advantageous.
• Ability to communicate complex analytical findings to both technical and non-technical stakeholders.

BENEFITS

The successful Lead Credit Risk Analyst will receive a salary up to £70,000 and an annual bonus.

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Investment Analyst

London | £60,000 + 20% Bonus | Office-Based (5 Days per Week)

This is an exciting opportunity for an Investment Analyst to join a growing investment team focused on software and technology businesses. Working in a lean, high-performing environment, you will gain direct exposure to live transactions, investment decision-making, portfolio companies, and M&A activity from day one.

The Company

This private investment firm is continuing to expand its London presence following a period of significant deal activity and growth. With an active investment strategy and a collaborative team culture, they offer substantial responsibility and exposure early in your career. The business focuses on acquiring and supporting high-growth software and technology companies, providing a dynamic environment for ambitious investment professionals.

The Role

As an Investment Analyst, you will play a key role in supporting investment activities across sourcing, analysis, execution, and portfolio management.

Responsibilities include:

• Supporting the assessment and execution of investment opportunities and acquisitions
• Participating throughout the full investment lifecycle, from origination through to completion
• Conducting financial, commercial, and market analysis on potential investments
• Building and maintaining financial models to support investment decisions
• Assisting with due diligence processes and transaction execution
• Preparing investment papers, presentations, and materials for internal stakeholders
• Monitoring portfolio company performance and supporting value creation initiatives
• Assisting with quarterly reporting and investment documentation
• Working closely with senior investment professionals across multiple live projects
• Supporting strategic initiatives within portfolio businesses

Your Skills & Experience

• Strong commercial experience within Private Equity, Investment Banking, Corporate Finance, or a similar investment environment
• M&A deal experience within the investment or private equity industry is essential
• Strong financial modelling, valuation, and analytical skills
• Experience analysing financial statements, company performance, and market opportunities
• Exposure to software, technology, or technology-enabled businesses
• Advanced Excel and PowerPoint skills
• Strong communication and stakeholder management abilities
• A commercial mindset and the ability to contribute in a fast-paced environment
• Fluent English communication skills
• Full right to work in the UK without sponsorship

What They Offer

• £60,000 base salary
• 20% annual bonus
• Direct exposure to investment processes and live transactions
• Opportunity to join a growing London investment team
• Significant responsibility and visibility from an early stage
• Close collaboration with experienced investment professionals
• Clear long-term development and progression opportunities
• Central office location

How to Apply

Apply Below!

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