financial services DATA RECRUITMENT

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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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Data Analyst – Data Products | Up to £50,000 | Hybrid | Manchester

A leading financial services organisation is building a new Data Products team focused on creating self-service analytics solutions across the business.

About the Company

This is a well-established financial services organisation with a strong data-driven culture. Following significant investment in data and analytics infrastructure, they are building a dedicated Data Products function to deliver scalable analytics solutions. The organisation values innovation, collaboration, and continuous improvement.

The Role

As a Data Analyst in the Data Products team, you will build automated analytics solutions that enable self-service across the organisation. You will own end-to-end delivery from requirements gathering through to deployment, working with SQL, Python, and Power BI to create data products that solve business problems at scale.

Key Responsibilities

Work with stakeholders to understand requirements and translate them into scalable data products. Extract, transform, and model data using SQL and Python. Develop Power BI dashboards and reports that provide actionable insights. Build self-service analytics solutions that enable stakeholders to access data independently. Collaborate with Data Engineering teams to ensure data quality. Drive best practices in data modeling, ETL processes, and dashboard design. Document solutions clearly and support stakeholders with training.

Essential Skills

2-3 years experience in data analysis, business intelligence, or analytics engineering. Strong SQL skills including complex queries, joins, aggregations, and optimization. Python proficiency for data manipulation and automation. Power BI or Tableau experience including dashboard development. Data modeling experience including dimensional modeling and star schema. ETL and data transformation experience. Stakeholder management skills. Problem-solving mindset with ability to work independently. Strong attention to detail and commitment to data quality.

Desirable Skills

Financial services, insurance, or regulated industry experience. Agile or fast-paced environment experience. Cloud platforms exposure (Azure or AWS). Version control knowledge (Git). Data governance and quality frameworks experience.

What’s On Offer

Salary up to £50,000. Hybrid working with 2 days per week in Manchester office. Opportunity to shape a new Data Products function. Work on high-impact projects with visibility across the organisation. Collaborative team environment with strong learning culture. Clear progression opportunities as the team grows. 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 panel interview. Stage 3: Final conversation with senior leadership.

About You

You are a technically strong data professional who enjoys building solutions with real business impact. You are comfortable with SQL and Python, can translate complex data into clear visualizations, and have a product mindset focused on scalability and reusability. You are a strong communicator who can work effectively with stakeholders at all levels.

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

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Senior Data Engineer (Core Platform)

Compensation: ~$200,000 base + equity

Remote

We’re hiring a Senior Data Engineer to own core data infrastructure for an AI-driven financial platform operating on highly complex, real-world data.

This is not an analytics or BI role. You’ll focus on data ingestion, data quality, and pipeline reliability – partnering closely with senior backend engineers to build scalable, production-grade systems in a small, high-ownership team.

What You’ll Do

• Build and maintain robust data ingestion and processing pipelines
• Own data quality across messy, fragmented, high-volume data sources
• Partner with backend engineers to improve platform reliability and scalability
• Solve hard data problems involving accuracy, consistency, and lineage
• Contribute architectural ideas and long-term platform improvements

What You Bring

• 5+ years of data engineering or backend-focused infrastructure experience
• Proven ability to solve complex data quality and pipeline-level problems
• Experience working with real-world, imperfect data at scale
• Cloud experience (platform-agnostic preferred)
• Comfortable with ambiguity and high technical ownership
• Strong bonus: experience with financial, payments, accounting, or other regulated data platforms

Why Join

• Own core data systems where quality directly drives business outcomes
• High autonomy and influence in a small, senior technical team
• Solve genuinely hard, non-toy data problems
• Remote-first culture with periodic team meetups
• Competitive compensation and meaningful equity

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Senior Data Engineer

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

Harnham is partnering with a fast-growing, well-capitalized financial services company to hire a Senior Data Engineer into a high-impact, business-facing role. This is an opportunity to join a lean, high-performing data team where engineers have real ownership, visibility, and influence over decision-making.

The company operates in the lending and credit space and has continued to perform strongly in uncertain economic conditions. Data plays a critical role in their growth strategy, particularly across credit analytics, acquisition, and operational reporting.

The Role

As a Senior Data Engineer, you will be responsible for building and maintaining modern data infrastructure while working closely with analytics and business stakeholders. This is not a siloed platform role – you’ll be expected to understand business problems, design clean data models, and clearly communicate insights.

You’ll work in a fast-paced agile environment with short sprint cycles and a strong emphasis on ownership and collaboration.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and infrastructure in a modern cloud environment

• Develop advanced SQL models and Python workflows to support analytics and reporting use cases

• Build and maintain data marts and warehouse layers, including cleaning and consolidating legacy data

• Partner closely with analytics and business teams to translate business questions into reliable data solutions

• Support new initiatives involving credit-related data and pipeline migrations

• Ensure data quality and reliability through testing, monitoring, and best practices

What We’re Looking For

Required:

• 5+ years of experience in data engineering

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

• Strong Python experience

• Hands-on experience with AWS and Snowflake

• Strong data modeling experience

• Excellent communication skills and comfort working with non-technical stakeholders

• Proven stability and ownership mindset

Nice to Have:

• Experience with dbt and/or Airflow

• Background in financial services, fintech, payments, or lending

• Exposure to credit or transaction-level data

• Familiarity with monitoring or observability tools

Why Apply?

• High-visibility role with direct impact on business decisions

• Modern data stack and meaningful technical ownership

• Collaborative, low-ego team culture

• Stable business with strong growth plans

• Hybrid working model (3 days onsite in Chicago)

If you’re a Senior Data Engineer who enjoys working close to the business and wants to make a tangible impact, we’d love to speak with you.

Apply now or reach out to Harnham for a confidential discussion.

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Director of Analytics and Data Engineering

Location: Remote, US based

Salary: $250-280k Base Salary

We are partnering with a fast growing company at the intersection of fintech, gaming, and digital commerce to hire a Director of Analytics and Data Engineering. This leader will own the company wide data strategy, data ecosystem, and data organization.

If you have built modern data platforms in regulated financial environments and want to shape the future of real time digital economies, this role offers company level impact.

The Opportunity

You will turn data into a strategic, revenue enabling asset by architecting and running a modern data stack that powers real time analytics, forecasting, ML insights, and regulatory reporting. This includes building semantic layers, unified source of truth datasets, experimentation frameworks, and high-quality telemetry.

You will oversee the full data lifecycle so product, commercial, risk, and compliance teams have timely, trusted data that drives GTM strategy, financial planning, customer analytics, churn modeling, fraud detection, and product optimization.

What You Will Lead

• Enterprise data strategy, roadmaps, data product vision, and multi year investment planning
• Data governance including cataloging, lineage, metadata, SLAs, access controls, and auditability, plus standardized KPIs and metric definitions
• Modern data architecture including real time pipelines, event streaming, warehousing, lakes, modeling, orchestration, and CI/CD for analytics and ML
• Analytics leadership across BI, self service, dashboarding, reporting, product analytics, forecasting, experimentation, and cohort analysis
• Data science enablement for predictive models, risk scoring, automated decisioning, and personalization, with infrastructure to deploy models
• Team leadership across data engineering, BI, analytics, and applied science including hiring, mentorship, operational rigor, and quality standards
• Cross functional partnership with Product, Engineering, FP&A, Compliance, and GTM to support product innovation, financial modeling, AML and KYC workflows, and market expansion
• Data activation through dashboards, workflow automation, internal data apps, and decision support tools

What You Bring

• 10+years in data with at least 3 in senior leadership
• Experience in high growth fintech, payments, or regulated financial services
• Proven ability to build and scale enterprise data ecosystems
• Expertise in data governance, quality, and regulatory compliance including AML and KYC
• Strong leadership and communication skills
• Technical depth in cloud warehouses, modeling, ETL and ELT, orchestration, and BI
• Strong SQL and familiarity with Python
• Experience with AWS data services and infrastructure as code
• Bonus: crypto, gaming, or internal tooling experience

Why This Role

Join a company shaping next generation digital commerce and build the data function for a global, highly regulated business. You will have full ownership, executive visibility, and the mandate to design a data organization that enables innovation at scale.

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Data Engineering Manager

Location: Remote, US based

Salary: $200-250k Base Salary

We are partnering with a fast growing company at the intersection of fintech, gaming, and digital commerce to hire a Data Engineering Manager. This leader will own the company wide data strategy, data ecosystem, and data organization.

If you have built modern data platforms in regulated financial environments and want to shape the future of real time digital economies, this role offers company level impact.

The Opportunity

You will turn data into a strategic, revenue enabling asset by architecting and running a modern data stack that powers real time analytics, forecasting, ML insights, and regulatory reporting. This includes building semantic layers, unified source of truth datasets, experimentation frameworks, and high-quality telemetry.

You will oversee the full data lifecycle so product, commercial, risk, and compliance teams have timely, trusted data that drives GTM strategy, financial planning, customer analytics, churn modeling, fraud detection, and product optimization.

What You Will Lead

• Enterprise data strategy, roadmaps, data product vision, and multi year investment planning
• Data governance including cataloging, lineage, metadata, SLAs, access controls, and auditability, plus standardized KPIs and metric definitions
• Modern data architecture including real time pipelines, event streaming, warehousing, lakes, modeling, orchestration, and CI/CD for analytics and ML
• Analytics leadership across BI, self service, dashboarding, reporting, product analytics, forecasting, experimentation, and cohort analysis
• Data science enablement for predictive models, risk scoring, automated decisioning, and personalization, with infrastructure to deploy models
• Team leadership across data engineering, BI, analytics, and applied science including hiring, mentorship, operational rigor, and quality standards
• Cross functional partnership with Product, Engineering, FP&A, Compliance, and GTM to support product innovation, financial modeling, AML and KYC workflows, and market expansion
• Data activation through dashboards, workflow automation, internal data apps, and decision support tools

What You Bring

• 10+years in data with at least 3 in senior leadership
• Experience in high growth fintech, payments, or regulated financial services
• Proven ability to build and scale enterprise data ecosystems
• Expertise in data governance, quality, and regulatory compliance including AML and KYC
• Strong leadership and communication skills
• Technical depth in cloud warehouses, modeling, ETL and ELT, orchestration, and BI
• Strong SQL and familiarity with Python
• Experience with AWS data services and infrastructure as code
• Bonus: crypto, gaming, or internal tooling experience

Why This Role

Join a company shaping next generation digital commerce and build the data function for a global, highly regulated business. You will have full ownership, executive visibility, and the mandate to design a data organization that enables innovation at scale.

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LEAD DATA ENGINEER

$180,000 – $200,000 BASE SALARY + EQUITY + BENEFITS

FULLY REMOTE (US ONLY)

COMPANY OVERVIEW

A fast-growing technology company building a modern data platform for mid-sized manufacturing and services businesses. The platform gives finance leaders clear visibility into revenue, costs, and operational performance by unifying complex financial and transactional data into a single, intelligent system.

THE ROLE

This is a hands-on Lead Data Engineer role owning data engineering end-to-end. You will build and scale the core data pipelines that power the company’s platform, ensuring data is accurate, reliable, and production-ready. The role is well-suited for someone who enjoys building from scratch and taking accountability for data quality and scalability.

ROLE RESPONSIBILITIES

• Own data engineering across the platform, from ingestion through transformation and delivery
• Design, build, and maintain scalable data pipelines using Python, Spark, SQL, and modern cloud tools
• Ensure high standards of data quality, testing, and QA, continuously improving reliability
• Partner with product and engineering teams to support analytics, reporting, and customer-facing use cases
• Optimize pipelines for performance, scalability, and maintainability
• Own projects end-to-end, from design and implementation through long-term support
• Help shape data architecture and best practices as the engineering organization grows

SKILLS & EXPERIENCE

• 5-7 years of hands-on data engineering experience building and owning production pipelines end-to-end
• Strong Python and SQL skills; Spark and Databricks experience a plus
• Deep understanding of data quality, testing, and operational excellence
• Experience in fast-paced startups or growth-stage companies, comfortable taking ownership
• Familiarity with modern cloud data platforms and distributed processing tools

BENEFITS

• $180,000 – $200,000 base salary + equity
• Fully remote role within the United States
• High-impact position with significant ownership and autonomy
• Opportunity to help build and define the data engineering function from the ground up
• Well-funded company with strong growth trajectory

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We are seeking a Senior Director / VP-level leader to own and drive a large-scale ERP and finance systems transformation across Finance, Procurement, Accounting, and Operations.

On Site – Dallas, TX

This role is responsible for the end-to-end ERP strategy, including platform selection (SAP S/4HANA, Oracle ERP, MS Dynamics) and determining the right balance between modular solutions and full-suite ERP architectures. The mandate is deeply transformational-modernizing how the business operates while maintaining stability across critical systems.

You will partner closely with senior finance leadership, lead multi-year enterprise programs, and guide a cross-functional organization through change without disrupting day-to-day operations.

Role Responsibilities:

• Lead a multi-year ERP transformation program, aligned with business strategy, timelines, and financial objectives
• Define the future-state ERP vision and digital ecosystem, including platform and modularity decisions
• Drive process re-engineering across order-to-cash, accounting, treasury, procurement, and supply chain
• Leverage automation, AI / Agentic AI, RPA, and analytics to significantly reduce manual processing
• Ensure process standardization using out-of-the-box ERP capabilities wherever possible
• Oversee hands-on configuration, integration, testing, deployment, and operational monitoring
• Establish ERP best practices around resilience, security, risk mitigation, and documentation
• Lead enterprise change management, ensuring adoption and managing resistance across business units

• Lead and inspire cross-functional teams of engineers, system leaders, and business stakeholders
• Own hiring, mentoring, performance management, budgeting, and forecasting
• Manage external vendors and consulting partners
• Act as a trusted advisor to senior finance and operations leadership

Qualifications:

• 10-15+ years of ERP experience with deep focus on Finance and Supply Chain
• Proven leadership of large-scale, multi-million-dollar ERP implementations
• Experience with Oracle Fusion (preferred), SAP S/4HANA, and/or MS Dynamics
• Strong ability to translate complex business needs into technology-enabled solutions
• Demonstrated success in change management and driving adoption

Role Responsibilities:

• Own a high-impact, enterprise-wide transformation
• Influence how finance and operations work for years to come
• Operate at the intersection of business strategy, technology, and execution
• Lead meaningful change in a complex, global environment

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VP of Engineering

Location: New York, NY (3 days/week on site minimum)

Compensation: $325,000-$350,000 base + 40% 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 Vice President of Software Engineering to oversee a global engineering organization of 150+ professionals, supported by approximately 10 direct reports. This is a highly visible, reporting directly to the C-suite.

Key responsibilities include:

• Leading the development of customer-facing applications across mobile and web, as well as core backend and infrastructure initiatives.

• Driving the integration of existing products with newly acquired fintech platforms to unlock and maximize strategic value.

• Advancing AI adoption across both products and internal operations, with AI solutions already live in production and a target of achieving 30%+ productivity improvements.

• Scaling platforms to support large-scale, real-time, high-throughput environments.

• Shaping business and technology strategy in close partnership with senior executive leadership.

Ideal Candidate Profile

• 10+ years of experience leading commercial software development teams.

• Demonstrated success within scaling fintech organizations with customer-facing products (e.g., Stripe, Plaid, Chime, Chase, Capital One).

• Experience managing teams > 100.
• Experience with regulatory requirements is a plus.

• Deep experience designing and operating large-scale, real-time systems.

• Strong technical grounding, with experience in Java, React, or Scala preferred; background in platform or system migrations is a plus.

• Ability to thrive in a fast-moving Fortune 500 environment with a startup mindset; comfortable in matrixed companies.

• Strategic, forward-looking leader with a strong interest in AI-powered innovation.

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 | VP | Engineering | Fintech | Customer | Customer-Facing | Direct-to-Consumer | B2C | Product | Production | Real Time | Vice President | Regulation | Python | Compliance | Regulatory | Startup Environment | Executive | Scale | Scaling | Artificial Intelligence

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