financial services DATA RECRUITMENT

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Founding Machine Learning Engineer

New York, New York

$180,000-200,000 base salary + equity + benefits

Harnham is partnered with a fintech startup that is disrupting a key area of credit risk in real estate. They are building out an AI platform that will revolutionize how certain credit risk tasks are carried out in the cloud. This will be a senior-level NLP Engineer in the business and lead all LLM projects from end-to-end.

THE ROLE

• You will be responsible for machine learning infrastructure and model deployment for the company’s AI platform
• You will report directly to the founding team and work closely on technical direction
• Own development of new PoCs and quickly build into production, particularly focusing on novel ML and AI applications
• You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business

YOUR SKILLS AND EXPERIENCE

The successful Founding Machine Learning Engineer will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on deploying ML models in credit risk
• Experience working in a scaling startup is highly preferred (having seen multiple funding rounds ideally)
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel NLP and LLM AI platforms with large datasets
• Cloud experience in AWS, Azure or GCP preferred
• History of working on models from concept to production / end-to-end / 0-1
• Experience in settings wearing multiple hats
• Domain experience in real estate or financial services a plus
• History of partnering with non-technical stakeholders required
• Experience as a tech lead for ML teams preferred
• BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar

THE BENEFITS

A competitive base salary of $180,000-200,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Fintech | Financial Services | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture | Real Estate | Credit Risk | Founding Team

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Lead Data Engineer

UK – Remote | £110,000-£130,000 + benefits

This is an exciting opportunity to step into a high‑impact Lead Data Engineer role within a fast‑scaling, fully remote tech business. You’ll shape their data engineering function, lead technical direction, and build modern, robust data infrastructure that directly powers real‑time product and commercial decision‑making.

The Company

They are a next‑generation digital platform operating in a fast‑growing consumer market, backed by recent multi‑million Series C investment. Their product is built around best‑in‑class engineering, modern design, and a mission to deliver an intuitive, mobile‑first user experience. With strong year‑on‑year growth, they are now expanding their data function to support scale, performance, and product innovation.

You’ll be joining an engineering‑driven environment where data is central to the product and where technical excellence is genuinely valued.

The Role

As Lead Data Engineer, you will act as both a hands‑on technical expert and a mentor to a growing team. You’ll drive engineering standards, own key architectural decisions, and deliver scalable, reliable pipelines and models.

You will:

• Lead the technical strategy for data engineering across ingestion, modelling, orchestration, and automation.
• Build and maintain high‑quality ETL pipelines using modern tooling and cloud‑native infrastructure.
• Develop robust data models and frameworks to support analytics, reporting, and product teams.
• Champion best practices across testing, version control, monitoring, and CI/CD.
• Collaborate with engineering and data leadership to align technical decisions with broader business strategy.
• Mentor mid‑level and senior engineers, raising the bar on technical capability and engineering quality.
• Influence tooling choices and introduce new technologies to improve reliability and scalability.

Your Skills & Experience

You will be a strong fit if you bring:

Must‑haves

• 7+ years’ experience in data engineering.
• Deep expertise in Python and SQL.
• Strong experience building ETL pipelines and distributed data systems.
• Solid cloud experience – ideally AWS (open to GCP).
• Orchestration experience (Dagster, Airflow, or similar).
• Experience with modern data warehouses such as Snowflake, Redshift, or BigQuery.
• Infrastructure‑as‑code experience (Terraform or Pulumi).
• Strong data modelling capability (dimensional modelling, Data Vault, etc.).
• Background in software engineering or backend development is highly desirable.
• Experience in high‑growth or smaller technology environments.

Nice‑to‑haves

• Snowflake experience.
• Experience with dbt, Fivetran, AWS Glue, or Apache Iceberg.
• Prior leadership or mentoring experience (team lead/tech lead).

What They Offer

• The opportunity to influence architecture, tooling, and engineering standards from day one.
• A pathway into broader leadership as the team expands to 8+ engineers.
• A modern, well‑funded environment where engineering maturity is valued and rewarded.

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This role sits at the heart of a leading UK financial services business, where analytics directly shapes strategy, influences decision‑making, and drives meaningful change.

You’ll take a lead role across high‑impact analytical initiatives, working closely with stakeholders to turn complex data into accessible, actionable insights.

Your day-to-day

• Lead on complex, business‑critical data analysis, extracting and manipulating large datasets to solve real commercial problems.
• Partner with cross‑functional teams and senior stakeholders to design intuitive data solutions, tools, and self‑service frameworks.
• Identify trends and opportunities across multiple data sources to generate insights that support business growth.
• Act as a subject matter expert within key analytical workstreams, becoming a trusted advisor across the organisation.
• Explore and adopt emerging technologies to continuously improve analytical capability and ways of working.

What you bring (core requirements)

• Strong experience in data analytics with advanced SQL skills.
• A solid understanding of data structures, data transformation, and analytical best practices.
• Proven ability to communicate complex insights clearly to non‑technical stakeholders.
• A structured, curious, and analytical mindset with strong problem‑solving skills.
• Confidence taking ownership of work, managing priorities, and delivering at pace.

Desirable skills (for the higher end of the salary range)

• Proficiency in an additional programming language such as Python or R.
• Experience leading analytical initiatives or acting as a subject matter expert within a domain.
• Exposure to building or enabling self‑service analytics solutions.
• Experience working in highly regulated or large‑scale data environments.

What’s on offer

• Salary range of £40,000-£55,000, depending on experience.
• Clear opportunities for learning, development, and career progression.
• Hybrid working from a Nottingham office (3 days per week).
• A competitive benefits package including bonus, pension, private medical insurance, and generous holiday allowance.

If this sounds like a role you’d enjoy, feel free to drop me a message to learn more.

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Strategy Insight Analyst

Southampton (5 days per week on-site)
£40,000 – £50,000 + benefits

A well-established UK financial services business is hiring a Strategy Insight Analyst to join a growing operations analytics function. The role sits at the intersection of data, operations and strategy, supporting decision-making across the full customer lifecycle.

This position is suited to someone who enjoys getting close to how a business actually runs and using data to improve processes, outcomes and customer experience.

The role

• Deliver analytical insight across customer acquisition, decisioning, account management and collections

• Support operational and strategy teams with data-led recommendations

• Work on end-to-end analytical projects: data extraction, analysis, insight and stakeholder reporting

• Translate complex analysis into clear, practical outputs for non-technical audiences

• Contribute to the development of operational strategy and performance optimisation

What they’re looking for

• 2+ years’ experience in an analytical role (financial services preferred)

• Strong SQL skills and experience with a data visualisation tool

• Evidence of owning analytical work from problem definition to business impact

• Commercially minded, curious and comfortable working in a fast-moving environment

• Strong communication skills and a collaborative working style

• UK experience required (no sponsorship available)

Why consider it

• Broad exposure across multiple business areas rather than a narrow reporting role

• High visibility with senior stakeholders

• Growing analytics team with clear progression opportunities

• Opportunity to shape the role based on your interests and strengths

Location: Southampton – 5 days per week on-site
Salary: £40,000-£50,000

Find out more and apply via the link below.

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We’re Hiring: Data Engineer II | Chicago (Hybrid)

$145,000 Base + 10% Bonus
Chicago, IL | Hybrid (3 days onsite)

Harnham is partnered with a high-growth, well-funded financial services company to hire a Data Engineer II into a highly visible, business-facing role. This is a great opportunity to work in a lean, high-performing data team where your work directly impacts credit strategy, analytics, and key business decisions.

The business operates in the lending / credit space and has continued to grow despite market uncertainty. Data is central to everything they do-from credit analytics and acquisition to operational reporting.

What You’ll Be Doing

• Building and maintaining scalable data pipelines in a modern cloud environment

• Developing advanced SQL models and Python workflows for analytics and reporting

• Creating and owning data marts and warehouse layers (including legacy data cleanup)

• Partnering closely with analytics and business teams to solve real problems with data

• Supporting initiatives involving credit data, transaction data, and pipeline migrations

• Ensuring data quality, reliability, and performance

✅ What We’re Looking For

Required:

• 3-6+ years of experience in Data Engineering

• Advanced SQL (CTEs, window functions, complex transformations)

• Strong Python experience

• Hands-on experience with AWS and Snowflake

• Solid data modeling skills

• Comfortable working with non-technical stakeholders

Nice to Have:

• dbt and/or Airflow

• Financial services, fintech, lending, or payments background

• Experience with credit or transaction-level data

⭐ Why This Role?

• High-impact Data Engineer II role with real ownership

• Modern data stack (AWS, Snowflake, SQL, Python)

• Collaborative, low-ego team culture

• Stable business with strong growth plans

• Hybrid working model in Chicago

Interested or know someone who might be?
Apply here or message me directly for a confidential conversation.

#DataEngineer #DataEngineeringJobs #ChicagoJobs #Snowflake #AWS #Python #SQL #FinTech #FinancialServices #Hiring #HybridJobs

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Data Scientist
London
Private Equity
£75,000 – £85,000 + benefits

Harnham is working exclusively with a prestigious private equity firm in London who are building a data function in London to support the internal deal team with the use of sophisticated data science and analytics.

You will join a small team and help build the foundations for the company’s data initiative for the coming years.

You will be expected to help build the data platform being used by the investment team, as well as work on ad-hoc strategic projects to identify investment opportunities for the business.

The Role – Data Scientist

You will be:

• Working alongside the deal team to identify where data science and advanced analytics can have a positive impact on the investment process
• Helping to create internal data tools and products to support data-driven investment decisions
• Carrying out due diligence as part of the investment process
• Exploring how Generative AI techniques can benefit the organisation

Experience – Data Scientist

You will have:

• An M.Sc. or Ph.D. in: STEM (e.g. Statistics, Applied Mathematics, Computer Science, Engineering)
• Experience using Python is a must
• Experience of data visualisation tools (e.g. Tableau, Power BI)
• A strong knowledge of statistical/machine learning models applied to real-world problems
• A keen interest in problem-solving and using data, analytics and AI to solve investment problems is important
• A focus on using data science to create value is essential
• A strong interest in working alongside both technical and non-technical people

BENEFITS

Up to £85,000 base salary
Competitive bonus

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham.

KEYWORDS

Python, SQL, Tableau, Power BI, AWS, GCP, Azure, Cloud, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance.

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MACHINE LEARNING ENGINEER (FOUNDATIONAL AI / RISK SYSTEMS)

REMOTE – UNITED STATES

$150,000 – $190,000 BASE + MEANINGFUL EQUITY + BENEFITS

The Opportunity

We’re partnering with a fast-growing fintech startup building a new category at the intersection of commercial rent, cash-flow intelligence, and applied AI.

This is a foundational machine learning role, not a research position. You’ll own the systems that make real financial decisions in production, working directly with the founding team.

What You’ll Be Working On

• Build and own underwriting and risk decisioning models used in production
• Analyze transaction-level financial data to identify key risk and performance signals
• Design ML systems that adapt to changing cash flow and user behavior
• Implement feedback loops that learn from real repayment outcomes
• Partner closely with founders on product and risk decisions

What We’re Looking For

• 4+ years building and shipping ML systems in production
• Strong data analysis skills with messy, real-world financial data
• Experience deploying Python-based ML models
• Ability to work independently with high ownership
• Decision-oriented mindset (focus on outcomes, not just models)
• Experience in risk, underwriting, or credit modeling
• Fintech or transaction-level data exposure
• Practical use of LLMs for classification or signal extraction

Tech Stack (Required / Core)

• Python for ML model development and data analysis
• Production ML deployment (risk scoring, thresholds, model iteration)
• SQL / PostgreSQL for working with transactional data
• Cloud environment (GCP or similar)
• Backend integration with Node.js / TypeScript-based systems

Why This Role

• As the first ML hire, you’ll own greenfield systems that control real financial outcomes, collaborate directly with founders, and grow into a long-term leadership role with meaningful equity.

If you’re motivated by building ML systems that directly affect real businesses, real cash flow, and real outcomes, APPLY.

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Principal Data Scientist
London
Private Equity
£120,000 – £140,000 + benefits

Harnham is working with a tech firm in the Private Equity space and hiring a few positions across Data Science, Machine Learning Engineering and Data Engineering.

The company have an impressive founding team and hold a strong reputation within the Data & AI and Private Equity space.

They partner with some leading investment firms in deploying AI and machine learning for the sole purpose of creating value. Often working in ambiguous and greenfield environments, you will collaborate with a strong team of technical people across multiple industries to solve complex commercial and data problems, delivering key data science initiatives that drive performance and revenue.

In this role you will lead the technical teams that deliver value.

The Role – Principal Data Scientist

You will be:

• Working on multiple engagements within portfolio companies across various different industry sectors
• Delivering key Data Science / AI initiatives that drive value for customers.
• Shaping how projects are delivered, driving performance and working closely with C-level execs.
• Providing technical leadership across the business, with a focus on end-to-end machine learning solutions.

Experience – Principal Data Scientist

You will have:

• An M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc.
• Experience using Python is a must
• Knowledge of cloud technologies important (agnostic)
• A strong knowledge of statistical/machine learning models applied to real-world problems
• A keen interest in problem-solving and using scalable machine learning to solve data-related problems is important
• A focus on using data science and AI to create value is essential
• A strong interest in working across a variety of different industry sectors and problem areas.

BENEFITS

Up to £140,000 base salary
Competitive bonus
The opportunity to join a world-class and growing team

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham.

KEYWORDS

Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance.

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FinOps Data Analyst Up to £47,000 | Leicester | Hybrid (4 days onsite)

About the Role We’re working with a major UK retail brand to hire a FinOps Data Analyst for their Finance Analytics team. You’ll provide analytical support and reporting solutions across multiple finance functions, working closely with SQL engineers and Finance stakeholders.

This hands-on role uses SQL and Python daily to explore data, identify trends, and deliver actionable insights that drive financial decision-making. The team is modernising their data platform with Databricks and Medallion Architecture.

Key Responsibilities Build analytical solutions across 4 finance areas: Accounts Payable, Cash Accounting, Commercial Services, and Operations. Perform SQL-based data exploration, validation, and transformation. Use Python (Pandas/Numpy) for analysis, automation, and data profiling. Build Power BI dashboards to visualise financial metrics. Support analysis by exploring trends and anomalies. Engage with stakeholders to gather requirements and deliver analytical outputs.

Current Projects Databricks Modernisation: Exposure to Databricks as the team builds Gold Standard Medallion Architecture. Self-Service Analytics: Reducing queries (currently 60-70% of workload). BAU Finance Support: Ongoing analytics across AP, Cash, Commercial Services, Operations. Analytical Automation: Using Python/SQL to streamline recurring analysis. Future ML/AI: The team will explore machine learning applications.

Requirements Essential: Strong SQL (querying, joins, CTEs, window functions). Python for data analysis (Pandas, Numpy). Power BI experience (dashboard creation). Strong analytical mindset and communication skills. Able to work onsite in Leicester 4 days/week (5 days first 3 months).

Desirable: Databricks or modern cloud data platforms. Finance team or financial data experience. Data warehousing knowledge.

What You’ll Get Salary up to £47,000. Modern data tech (Databricks, Medallion Architecture). ML/AI exposure as team evolves. Hybrid working (4 days onsite after training). Career development in major UK retailer.

Interview Process Stage 1: Informal discussion with Analytics Manager (45 mins, virtual). Stage 2: In-person assessment (3 hours total) – 2 hours analytical task using SQL/Python on provided dataset, 1 hour discussion reviewing your approach.

Working Arrangements First 3 months: 5 days/week onsite for training. After 3 months: 4 days/week onsite, 1 day remote.

To apply, submit your CV or contact us for more information.

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DATA SCIENTIST- FINTECH
LONDON
UP TO £65,000

Join a fast-growing, data-driven FinTech expanding rapidly in the US- they operate across personal loans, credit cards, and auto finance, and are widely regarded as a leader in digital lending.

THE ROLE

You’ll join a compact US-focused Data Science team, taking full ownership of the end-to-end model lifecycle. This isn’t a traditional “build and hand off” role, you’ll manage everything from data collection to feature engineering, model development, testing, and deployment.

Key Responsibilities:

• Develop credit risk predictive models, including scorecards, income models, and early repayment models.
• Build automation for lending decisions and support acquisition and verification models for credit cards.
• Create forecasting and marketing models to support customer segmentation and growth strategies.
• Own the full modelling process, from raw data through deployment, without separate engineering teams.
• Collaborate with cross-functional teams to ensure models are robust, actionable, and scalable.
• Continuously improve modelling approaches as volumes and portfolios expand.

REQUIREMENTS

• 1+ years’ experience in ML modelling, ideally with customer prediction models (forecasting, segmentation, pricing).
• Open to candidates from any sector, though financial services, insurance, or gambling is a plus.
• Strong academics – STEM degree from a top university; PhD candidates considered.
• Highly independent, able to own and deliver projects end-to-end.
• Smart, adaptable, and excited to work in a fast-paced, international expansion environment.

HOW TO APPLY

Please apply below or send CV

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STRATEGY ANALYST

HAMPSHIRE

UP TO £50,000

Looking for an Operations Analytics Analyst to join a small, growing analytics team within a UK FinTech lender. This role focused on turning data into actionable insights across the entire customer lifecycle.

THE ROLE

You’ll sit in the Operations Analytics team, working closely with credit, underwriting, collections, fraud and marketing. The team’s aim is simple: use data to understand processes, improve decision-making, and generate insights that drive real business outcomes.

• Analyse customer behaviour from origination to repayment, identifying trends and patterns across the lifecycle.
• Optimise collections strategies to improve efficiency and customer outcomes.
• Extract, manipulate, and visualise data to create reports and dashboards for operational teams.
• Provide insights on marketing and acquisition performance to support business growth.
• Collaborate with credit, risk, fraud, and operational teams on cross-functional projects.
• Translate complex data into actionable recommendations for stakeholders and business decisions.

REQUIREMENTS

• 2+ years in credit, lending or operational analytics
• Strong SQL skills and experience with a visualisation tool
• Clear examples of end-to-end analytical work: pulling data, analysing, translating into action, reporting to stakeholders

HOW TO APPLY

Please apply below or send CV

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Data Visualisation Developer | Up to £40,000 | Hybrid | Manchester

A leading financial services organisation is looking for a Power BI Developer to design and develop compelling dashboards that turn complex data into clear, actionable insights.

About the Company

This is a well-established financial services organisation with a strong commitment to data-driven decision-making. The Data and Analytics team plays a central role in providing insights that drive business strategy and operational improvements. The organisation values collaboration, innovation, and continuous learning.

The Role

As a Data Visualisation Developer, you will be responsible for end-to-end design and development of Power BI dashboards. You will work closely with business stakeholders to understand reporting needs, then design and build visualizations that are both visually engaging and easy to navigate. This role requires technical Power BI expertise, data modeling skills, and design sensibility.

Key Responsibilities

Design and develop Power BI dashboards from concept through to deployment and maintenance. Build robust data models using star schema and dimensional modeling techniques. Write DAX measures and calculations to deliver business metrics and KPIs. Create Power Query transformations to extract, clean, and shape data from multiple sources. Collaborate with stakeholders to understand reporting requirements and translate them into effective visualizations. Ensure dashboards are visually engaging, intuitive, and follow UX best practices. Optimize dashboard performance for fast load times and smooth user experience. Maintain and enhance existing Power BI solutions based on feedback. Document dashboards and data models. Provide training and support to stakeholders.

Essential Skills

2-3 years experience developing Power BI dashboards professionally. Strong Power BI skills including report design, data modeling, and workspace management. DAX proficiency including calculated columns, measures, time intelligence, and advanced functions. Power Query proficiency including M language, data transformations, and query optimization. SQL skills for data extraction, transformation, and understanding database structures. Data modeling experience including star schema, dimensional modeling, and normalization. Understanding of UX and design principles for user-friendly dashboards. Stakeholder management skills with ability to gather requirements and communicate effectively. Strong attention to detail and commitment to high-quality visualizations. Ability to work independently and manage multiple projects.

Desirable Skills

Financial services, insurance, or regulated industry experience. Data visualization best practices and storytelling with data. Exposure to other BI tools such as Tableau or Looker. Knowledge of data governance and quality principles. Agile or fast-paced environment experience. Familiarity with version control and development best practices.

What’s On Offer

Salary up to £40,000. Hybrid working with 2 days per week in Manchester office. End-to-end ownership of dashboard projects. Opportunity to work on high-impact visualizations for senior stakeholders. Collaborative and supportive team environment with strong learning culture. Clear progression opportunities. Comprehensive benefits package including pension, life assurance, and healthcare. 25 days annual leave plus bank holidays. Professional development support.

Interview Process

Stage 1: Initial conversation with Hiring Manager. Stage 2: Technical assessment and portfolio review. Stage 3: Final conversation with senior leadership.

About You

You are a Power BI specialist who loves turning data into visual stories that drive business decisions. You have strong technical skills in DAX, Power Query, and data modeling, combined with a good eye for design and UX. You understand that great dashboards make complex information accessible and actionable. You are a strong communicator who can work effectively with stakeholders and take pride in delivering dashboards that are both beautiful and functional.

For more information or to apply, please get in touch.

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