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Operations Analytics & Insight Lead
London (Hybrid – 3x a week)
Up to £100,000 + up to 25% bonus

This is an excellent opportunity for an experienced analytics leader to shape the future of operational analytics within a highly data-driven, technology-led business. Combining strategic influence, people leadership, and hands-on analytical delivery, the role offers significant exposure to senior stakeholders and the chance to drive meaningful impact through AI, automation, and operational transformation.

The Company
Our client is a well-established international technology business with a large and engaged customer base. They operate in a fast-paced, highly regulated environment where data and analytics are central to commercial decision-making and operational excellence.

The organisation has made significant investment in its data capabilities and is continuing to expand how analytics supports business performance. With ambitious growth plans and a strong culture of innovation, they offer an environment where analytical thinking is highly valued and where teams are empowered to drive change.

The Role
As the Operations Analytics & Insight Lead, you will lead a team of analytics professionals while defining the analytical strategy that supports operational performance across customer service, onboarding, operational efficiency, and AI-enabled processes.

You will:

• Lead, coach and develop a team of analysts while fostering high analytical standards.
• Define and deliver the operational analytics strategy, aligning analytical priorities to business objectives.
• Partner with senior stakeholders to influence decision-making and shape the analytics roadmap.
• Establish measurement frameworks and trusted performance metrics across operations.
• Deliver hands-on analysis, including experimentation, statistical testing, and operational performance assessment.
• Identify process inefficiencies and drive automation initiatives to improve scalability.
• Develop self-service reporting and reduce reliance on ad hoc analysis.
• Support AI and chatbot initiatives through analytical insight, measurement frameworks, and operational context development.
• Evaluate the effectiveness of automation, customer service deflection, workforce management, onboarding, and operational transformation programmes.
• Champion best practices across analytics delivery, experimentation, governance, and data quality.

Your Skills & Experience
You will bring:

• Strong experience leading analytics or insights teams in a commercial environment.
• Proven people management capability and a passion for developing analytical talent.
• Advanced SQL skills with the ability to remain hands-on when required.
• Strong statistical knowledge, including experimentation, significance testing, and measurement design.
• Experience influencing senior stakeholders and translating business challenges into analytical solutions.
• Strong commercial experience working with operational, customer service, workforce management, onboarding, or process optimisation analytics.
• Practical experience applying AI, Copilot, LLMs, or automation technologies to improve business processes.
• Strong understanding of modern analytics and data platforms.

Experience with the following would be beneficial:

• dbt, Airflow and Git.
• Looker or similar BI tools.
• Python for analysis or automation.
• Experience within fintech, financial services, or another regulated industry.

What They Offer

• High levels of exposure to senior leadership and strategic decision-making.
• Ownership of a growing analytics function with the opportunity to shape team direction and ways of working.
• Significant involvement in AI, automation, and operational transformation initiatives.
• Ongoing professional development and career progression opportunities.

How to Apply
If you’re an analytics leader who enjoys combining strategic influence, people leadership, and hands-on delivery, apply today to learn more about this exciting Operations Analytics & Insight Lead opportunity.

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Full Stack Software Engineer

New York (preferred) | Chicago, Dallas, Atlanta or Fort Washington | $225,000 base + 20% bonus

This is a rare opportunity to join a small, high-performing AI and Innovation team building a predictive analytics platform that supports major investment and real estate decisions. You’ll have significant ownership, influence technical direction, and help bring AI-powered products into production at scale.

The Company
They are a large-scale owner and operator of logistics and industrial real estate across the United States. With substantial assets under management and a nationwide footprint, they are investing heavily in technology, data, and AI to modernise decision-making across the business.
Their Innovation team operates like a start-up within a larger organisation, combining software engineering, data science, and applied AI expertise to develop products with measurable commercial impact.

The Role

• Build and own core platform capabilities, including application infrastructure, APIs, and shared services.
• Develop full stack applications using Python, React, and TypeScript.
• Surface machine learning and predictive analytics insights through intuitive user interfaces.
• Integrate AI and LLM-powered workflows into production environments.
• Make key architectural and technical decisions that will shape the future of the platform.
• Collaborate closely with Product Managers, Data Scientists, Applied AI Engineers, and business stakeholders.
• Translate ambiguous business problems into scalable software solutions.
• Contribute to code quality, deployment pipelines, testing practices, and engineering standards.

Your Skills & Experience

• Strong commercial experience building full stack software products.
• Excellent Python development skills and experience designing scalable APIs.
• Front-end expertise with React, JavaScript, or TypeScript.
• Experience working in product-focused or 0-to-1 environments.
• Exposure to AI, machine learning, predictive analytics, or LLM-enabled applications.
• Ability to balance speed, quality, and long-term architectural considerations.
• Strong communication skills and confidence partnering with both technical and non-technical stakeholders.
• Experience within technology, fintech, financial services, real estate technology, or other data-intensive environments is advantageous.

What They Offer

• $225,000 base salary.
• 20% annual bonus.
• Hybrid working model with 3 days per week onsite.
• High levels of ownership and autonomy.
• Opportunity to work on cutting-edge AI and predictive analytics products.
• Direct exposure to senior stakeholders and business-critical initiatives.
• Clear progression as the engineering and innovation function continues to grow.

How to Apply
Apply now to learn more about this opportunity for a Software Engineer looking to build AI-enabled products, influence technical strategy, and make a tangible business impact.

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Chief Data Officer

£150,000 – £180,000
London | Hybrid (1 day per week in the office)

The Business

Our client is a rapidly expanding, private equity-backed financial services organisation undergoing a significant period of growth and transformation. With substantial investment being made across data, technology, and digital products, the business is looking to appoint an experienced data executive to help shape and scale its future capabilities.

This is a high-profile leadership position with responsibility for evolving the organisation’s data landscape, strengthening engineering capabilities, and unlocking greater value from data throughout the customer lifecycle.

The Opportunity

As Chief Data Officer, you will own the organisation’s data strategy and lead the continued evolution of its data and analytics function. Working alongside the Executive Leadership Team, you will help position data at the centre of business decision-making and future growth.

Key responsibilities will include:

• Assessing and evolving the current data operating model, team structure, and overall capability.
• Developing and delivering a long-term data strategy aligned with wider business objectives.
• Driving the implementation of a modern cloud-based data platform, including lakehouse and warehouse solutions.
• Creating a scalable self-service data capability that enables teams to access trusted insights efficiently.
• Enhancing data engineering, architecture, governance, and analytical maturity across the business.
• Partnering closely with technology, product, and commercial leaders to promote a data-led culture.
• Exploring the use of AI and automation to improve operational efficiency, engineering effectiveness, and business performance.
• Delivering customer-focused data initiatives across onboarding, personalisation, insight generation, and customer engagement.
• Embedding robust, scalable, and secure data practices that support long-term growth.

Background & Experience

• Demonstrable experience within a senior data leadership role, such as Data Director, VP Data, Head of Data, or Chief Data Officer.
• Experience working within digitally enabled or technology-led organisations.
• Proven success leading large-scale data transformation programmes and building high-performing data functions.
• Strong expertise across data engineering, architecture, analytics, cloud technologies, and modern data platforms.
• Hands-on experience implementing data lakes, cloud data solutions, and enterprise-scale data warehousing environments.
• Track record of delivering self-service reporting and data products that drive business adoption and value.
• Ability to engage and influence stakeholders at executive, strategic, and technical levels.
• Strong understanding of contemporary data technologies and engineering best practices.
• Exposure to Azure and the wider Microsoft data ecosystem would be advantageous.
• Good appreciation of AI, automation, and their practical application within engineering and business environments.
• Experience collaborating across architecture, engineering, product, and executive leadership teams.
• Commercially focused with the ability to combine strategic thinking with pragmatic delivery.
• Prior experience within financial services, lending, payments, fintech, or another regulated industry would be beneficial.

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Senior Data Scientist – Pricing

London / Leicester | £60,000 – £75,000

This is an exciting opportunity for a Senior Data Scientist to join a highly advanced analytics function focused on pricing innovation. You’ll work on developing cutting-edge machine learning models, leveraging new technologies and data sources to influence commercial strategy and deliver tangible business impact.

The Company

They are a data-driven organisation that has invested heavily in its analytics and pricing capabilities. Their Data Science team sits at the heart of strategic decision-making, helping to improve risk assessment, customer outcomes, and commercial performance. Working within a collaborative environment, you’ll partner with experts across analytics, engineering, and business functions to drive innovation and challenge conventional approaches.

The Role

You will:

• Develop and deploy machine learning models that support pricing and risk management strategies.
• Build predictive models focused on claims outcomes, fraud detection, and key business performance metrics.
• Create and maintain analytical tools used to manage and optimise risk portfolios.
• Identify, assess, and utilise new data sources to improve model performance and business outcomes.
• Engineer new predictive features that can be incorporated into pricing algorithms.
• Take ownership of projects across the full machine learning lifecycle, from exploratory analysis through to deployment and monitoring.
• Collaborate with Data Scientists, Data Engineers, Analysts, and business stakeholders to deliver commercial value.
• Explore emerging machine learning techniques and assess their practical application within the business.

Your Skills & Experience

• Strong commercial experience delivering end-to-end machine learning projects.
• Excellent Python and SQL skills.
• Experience with Azure Machine Learning, Azure Cloud Services, and Git.
• Strong understanding of model deployment, monitoring, evaluation, and optimisation.
• Ability to translate complex business problems into scalable analytical solutions.
• Experience engaging with a range of stakeholders to define requirements and drive successful outcomes.
• Strong communication skills and a collaborative approach to problem-solving.
• Passion for applying advanced analytics and machine learning to real-world business challenges.

How to Apply

To find out more about this opportunity, please apply with your CV and we’ll be in touch to discuss the role in more detail.

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SENIOR CREDIT RISK MANAGER
LONDON | UP TO £110,000
This is a unique opportunity to join a growing FinTech lender in a highly strategic credit role. You will take ownership of innovative lending and pricing initiatives, helping to shape the future direction of the business while driving sustainable growth and improving portfolio performance.

THE COMPANY
They are an established FinTech operating within the unsecured consumer lending market. The business is entering an exciting growth phase and is investing heavily in the evolution of its credit capabilities.

With strong foundations already in place across credit operations and risk management, they are focused on developing new lending strategies, enhancing pricing sophistication, and creating long-term competitive advantages through innovation.

THE ROLE
* Lead strategic credit risk and lending initiatives from concept through to implementation and measurable business impact
* Develop innovative credit and pricing strategies to support growth while maintaining strong portfolio performance
* Identify new customer segments, lending propositions, and acquisition opportunities
* Evaluate commercial opportunities across customer lifecycle management, re-lending, and portfolio expansion
* Build business cases and assess the commercial viability of new initiatives
* Partner closely with Credit Risk, Commercial, Product, Finance, and Operations teams to drive delivery
* Support the development of advanced and more personalised lending and pricing capabilities
* Take ownership of projects through implementation and successful transition into business-as-usual processes

YOUR SKILLS & EXPERIENCE
* Strong commercial experience within consumer lending, credit risk, credit strategy, or pricing strategy
* Experience working within FinTech or an entrepreneurial lending environment is essential
* Proven ability to deliver strategic credit initiatives that balance growth and risk objectives
* Advanced SQL skills
* Python experience or a willingness to further develop Python capabilities
* Strong commercial and stakeholder management skills
* Comfortable operating as a hands-on individual contributor with a high level of ownership
* Ability to challenge existing approaches and bring innovative ideas to complex business problems

WHAT THEY OFFER
* Salary up to £110,000
* Hybrid working model with 3-4 days per week in the London office
* Significant ownership and visibility across senior leadership
* Opportunity to shape credit strategy, pricing strategy, and new lending capabilities
* Exposure to high-impact transformation and innovation projects
* Clear progression opportunities within a growing FinTech business
* Collaborative environment that encourages experimentation, innovation, and commercial thinking

HOW TO APPLY
Please register your interest by sending your CV through the Apply link.

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SENIOR CREDIT RISK ANALYST
BIRMINGHAM | UP TO £57,000 + BONUS + BENEFITS
This is an exciting opportunity to join a fast-growing consumer finance business in a highly visible credit risk role. You will play a key part in shaping credit strategy for a major new lending proposition, working with large-scale datasets and helping drive commercial growth while maintaining strong risk performance.

THE COMPANY
They are a well-established consumer finance lender operating in a fast-paced, technology-driven environment. Combining the agility of a FinTech with the stability and resources of a larger financial services group, they continue to invest heavily in their credit analytics and decisioning capabilities.
The business is launching a significant new lending partnership, creating a unique opportunity to influence strategy from an early stage and work with a wide range of internal, external, and alternative data sources.

THE ROLE
* Develop and optimise acquisition and customer management credit strategies
* Design and implement policy rules, credit limits, pricing strategies, and affordability frameworks
* Utilise bureau, internal, and alternative data sources to drive lending decisions
* Monitor portfolio performance and identify opportunities to enhance strategy effectiveness
* Present recommendations and strategy changes to senior stakeholders and governance forums
* Support onboarding strategy development for new lending propositions
* Balance commercial growth objectives with regulatory and consumer duty requirements
* Assess the impact of economic and market trends on portfolio performance

YOUR SKILLS & EXPERIENCE
* Strong experience within consumer lending credit risk, credit strategy, or risk analytics
* Experience developing acquisition, underwriting, or customer management strategies
* Knowledge of credit policy rules, scorecards, pricing, limits, or affordability modelling
* Strong SQL, SAS, or Python skills
* Ability to work with large datasets and translate analysis into commercial recommendations
* Excellent stakeholder management and communication skills
* Understanding of credit bureau data and the wider credit lifecycle
* Experience within unsecured lending, retail finance, consumer finance, loans, or cards is advantageous

WHAT THEY OFFER
* Salary up to £57,000 depending on experience
* Annual bonus scheme
* Competitive benefits package
* Hybrid working arrangement
* Opportunity to work on a high-profile new lending proposition
* Exposure to senior stakeholders and risk committees
* Fast-paced environment where new ideas can quickly translate into strategy changes
* Strong learning and development opportunities within a collaborative team
* Clear progression pathways within a growing risk function

HOW TO APPLY
Please register your interest by sending your CV through the Apply link.

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SENIOR CREDIT RISK MANAGER
London | 110k
This is an opportunity for a commercially minded credit professional to take ownership of high-impact lending innovation within an established FinTech environment. You will have the autonomy to develop new ideas, build the commercial case and take initiatives from concept through to measurable impact.

THE COMPANY
They are an established UK FinTech operating within the consumer lending space. With a strong existing credit operation and significant investment behind their innovation agenda, they are looking to build new capabilities that enhance both customer and commercial outcomes.
You will join an environment that values experimentation, ownership and evidence-led decision-making.

THE ROLE
As Senior Credit Risk Manager, you will focus on transformational credit and lending initiatives rather than day-to-day portfolio management.
You will:

• Identify and own new lending initiatives that deliver meaningful customer and commercial value.
• Develop new customer segments, distribution channels and lending propositions.
• Explore opportunities across areas such as cross-sell, re-lending and existing customer value.
• Build new credit strategies and capabilities.
• Own initiatives from initial concept through strategy, pricing, credit approach, launch and handover.
• Use data to build value cases and assess commercial opportunities.
• Make informed decisions across credit risk, pricing and distribution.
• Partner with Credit Risk, Product, Commercial, Finance and Operations to deliver initiatives successfully.
• Remain accountable for performance and measurable impact after launch.

YOUR SKILLS & EXPERIENCE

• Strong commercial experience within FinTech, ideally consumer lending, credit or a closely related environment.
• Strong credit risk knowledge combined with the ability to think beyond traditional credit management.
• Strong SQL skills are essential.
• Python experience is beneficial.
• Experience developing and delivering new credit, lending or commercial initiatives.
• Ability to translate data and analysis into commercial decisions.
• Confidence working independently and taking end-to-end ownership.
• Strong stakeholder management skills with the ability to influence and coach cross-functional colleagues.
• A practical approach to experimentation, iteration and problem-solving.

WHAT THEY OFFER

• Competitive salary dependent on experience.
• Significant autonomy and ownership over high-impact lending initiatives.
• Exposure to senior leadership and cross-functional decision-making.
• The opportunity to influence the future direction of credit and lending strategy.
• Scope to develop new capabilities from initial idea through to proven commercial impact.

HOW TO APPLY
If you are a hands-on credit or lending professional, apply today through Harnham.

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Data Scientist

Liverpool (Hybrid) | Up to £55,000

Looking to apply advanced analytics and machine learning in a role where your work directly influences business decisions? This is an opportunity to join a well-established consumer-focused organisation investing heavily in its data capabilities. You’ll work on a broad range of projects, turning complex datasets into actionable insights and delivering measurable commercial impact.

The Company

They are a recognised organisation with a large customer base and a growing commitment to data-driven decision making. Their analytics and technology teams play a key role in shaping strategy, improving customer outcomes, and driving operational performance. With continued investment in AI, machine learning, and cloud technologies, they offer an environment where innovation and collaboration are actively encouraged.

The Role

You will be responsible for:

• Collecting, cleaning, and preparing data from multiple sources to ensure quality and accuracy.
• Applying statistical analysis and machine learning techniques to solve business challenges.
• Building, deploying, and maintaining predictive models that deliver tangible value.
• Developing and enhancing AI and machine learning solutions using modern cloud-based tools.
• Creating dashboards and visualisations that communicate insights clearly to stakeholders.
• Working closely with analysts, engineers, and business teams to deliver data science projects.
• Identifying trends, opportunities, and risks through advanced analytics.
• Keeping up to date with the latest developments in data science, AI, and machine learning.

Your Skills & Experience

• Strong commercial experience delivering data science solutions.
• Excellent Python or R programming skills.
• Strong SQL capabilities for data extraction and analysis.
• Experience with forecasting, statistical modelling, and machine learning techniques.
• Knowledge of the full data science lifecycle from model development through to deployment and monitoring.
• Experience working with cloud platforms such as Azure, AWS, or GCP.
• Ability to communicate technical findings to both technical and non-technical stakeholders.
• Passion for using data to solve real-world business problems.

How to Apply

To find out more about this opportunity, please apply with your CV and we’ll be in touch to discuss the role in more detail.

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Data Scientist

London (Hybrid) | £60,000 – £65,000

This is an excellent opportunity for a Data Scientist to join a growing product and analytics team, helping to develop innovative data-driven products powered by advanced analytics and AI. You’ll have the chance to combine technical expertise with commercial impact, working closely with both internal stakeholders and clients to deliver meaningful insights and solutions.

The Company

They are a data-focused organisation that develops advanced analytics and customer intelligence solutions for a broad range of businesses. Through the use of modern data technologies, machine learning, and market insight, they help clients make better decisions and unlock greater value from their data. Innovation and product development sit at the heart of their strategy, creating a collaborative and forward-thinking environment.

The Role

You will work across product, analytics, and client teams to develop and enhance data-led products and services.

Responsibilities include:

• Identifying opportunities for new analytics and AI-driven products
• Translating business and client requirements into technical solutions
• Building and testing analytical models and proof-of-concepts
• Developing data products, scoring methodologies, and insight-driven solutions
• Presenting findings and recommendations to both internal stakeholders and clients
• Monitoring product performance and driving continuous improvement

Your Skills & Experience

• Strong commercial experience in Data Science, Analytics, or a related field
• Proficiency in Python and SQL
• Experience working with large-scale customer, transactional, behavioural, or marketing datasets
• Understanding of machine learning techniques and analytical product development
• Knowledge of data modelling and feature engineering principles
• Ability to communicate complex analytical concepts to non-technical audiences
• Experience working directly with clients or customer-facing stakeholders
• Strong problem-solving and stakeholder management skills

How to Apply

If you’re looking for a Data Scientist role where you can influence product development, engage with clients, and work on innovative analytics solutions, please apply today.

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PEOPLE REPORTING ANALYST (12-MONTH FTC)
OXFORDSHIRE/HYBRID
UP TO £55,000

This is an excellent opportunity for a People Reporting Analyst to join a globally recognised organisation and play a key role in shaping workforce decision-making through data. Working within a small, highly visible People Reporting & Insights team, you will have the chance to influence senior stakeholders, develop impactful reporting solutions, and contribute to major people analytics initiatives.

ROLES AND RESPONSIBILITIES:
The People Reporting Analyst will:

• Build, develop, and maintain Power BI dashboards for HR stakeholders.
• Produce regular and ad hoc people reporting across key workforce metrics.
• Extract, analyse, and interpret data from SAP SuccessFactors.
• Investigate reporting issues and improving data quality standards.
• Support reporting across recruitment, performance, reward, learning, and employee lifecycle activities.
• Partner with People Systems teams on UAT, reporting requirements, and system enhancements.
• Contribute to high-profile projects including performance review reporting, internal mobility analytics, reward analysis, and talent intelligence initiatives.
• Develop reporting documentation, data definitions, and best practice processes.

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong commercial experience using Power BI for reporting and dashboard development.
• Strong working knowledge of SAP SuccessFactors or Workday
• Experience within People Analytics, HR Analytics, HR Reporting, or Workforce Analytics environments.
• Ability to extract, validate, interrogate, and troubleshoot HR data.
• Experience producing insights and recommendations for business stakeholders.
• Strong Excel and data analysis capabilities.
• Understanding of core HR processes and the employee lifecycle.
• Comfortable working with senior stakeholders and managing reporting requests independently.
• Able to commute to Bicester on a hybrid basis, typically two days per week.
• Availability within one month is highly desirable.

APPLY BELOW

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What You’ll Do

• Design, develop, and maintain applications within the Entellitrak / Tyler Technologies platform
• Own full project lifecycle from requirements through deployment
• Serve as the internal Entellitrak expert, working across business units
• Partner with stakeholders to translate business needs into platform solutions

What We’re Looking For

Required:

• Hands-on Entellitrak / Tyler Technologies development experience – this is non-negotiable
• Java or JavaScript proficiency
• Experience owning end-to-end application builds
• Low-code/no-code platform development background
• Government or public sector experience a strong plus

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