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LEAD RISK REPORTING ANALYST

SALARY UP TO £75,000 + BONUS

HYBRID WORKING 50/50 TIME IN-OFFICE

LONDON

Harnham are working with a well-established financial services organisation to find a Lead Risk Reporting Analyst to join their growing risk function. This is an excellent opportunity for a reporting professional with credit risk experience to take ownership of key reporting processes while helping to drive the team’s transition towards more modern data and visualisation tools.

THE COMPANY

This is a well-respected financial services business that is continuing to invest in its risk and analytics capabilities. The organisation is focused on modernising its reporting landscape, with a strong emphasis on data visualisation, automation and improving reporting processes. This role offers the chance to influence that transformation while developing into a future leadership position.

THE ROLE

This is a hands-on role sitting within a risk reporting team, where you will lead the delivery of risk reporting and help shape the team’s future direction. You will work closely with analysts, provide guidance and support, and contribute to the ongoing enhancement of reporting processes and technology.

Specifically, you can expect to be involved in:

• Delivering regular risk reporting and analysis to stakeholders
• Developing and enhancing reporting processes and visualisations
• Supporting the migration towards more modern reporting and analytical tools
• Mentoring and guiding junior analysts within the team
• Working with large datasets to generate business insights and reporting outputs

SKILLS AND EXPERIENCE

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

• Experience within credit risk analytics or reporting
• Strong reporting experience within a financial services environment
• Demonstrable Power BI experience, including dashboard development and visualisation
• Strong SQL skills for data extraction and analysis
• Around 4-5 years of relevant analytics, reporting or risk experience
• Knowledge of IFRS 9 is beneficial
• Python and/or SAS experience would be advantageous
• Ambition to develop professionally and take on increasing levels of responsibility

BENEFITS

The successful Lead Risk Reporting Analyst will receive a salary up to £75,000 as well as an annual bonus.

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Customer Analytics Manager | 12-Month FTC | Up to £70k | Hybrid

A leading UK retail business is looking for a Customer Analytics Manager to join its established Customer Analytics function on a 12-month fixed-term contract.

You’ll be responsible for delivering customer insight across areas including customer behaviour, segmentation, lifecycle, retention and customer value, helping the wider business make more informed, data-driven decisions.

We’re looking for someone with:

• Strong experience in customer analytics / customer insight

• Excellent SQL and analytical skills

• Experience with segmentation, regression, clustering and predictive analytics

• Strong commercial and stakeholder management skills

• The ability to translate complex analysis into clear recommendations

This is a hands-on role with strong exposure to senior stakeholders and the opportunity to influence customer strategy across a large consumer business.

Package: Up to £70k + benefits
Contract: 12-month FTC
Location: Hybrid – 2/3 days per week in London

Interview process: Initial interview → Case study/presentation → Final stage.

Find out more and apply via the link below!

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Director of Data Research | Remote | £100-150k + Bonus

An exciting opportunity to join a growing alternative data business as Director of Data Research, leading the evaluation and development of new datasets and data-driven insights.

The role will suit someone with a strong background in data research, alternative data, data discovery or dataset evaluation, with experience turning complex or unstructured data into meaningful commercial insights.

You’ll work closely with the Data Partnerships and wider commercial teams, helping assess new data opportunities and develop robust analytical approaches.

Ideal background:

• Data discovery / alternative data
• Dataset evaluation and validation
• Python and strong analytical skills
• Statistical analysis and hypothesis testing
• Experience turning messy data into useful insights
• Strong commercial and stakeholder management skills

This is a research and analytical leadership role rather than a pure ML engineering position.

Package: £100-150k base + bonus, alongside healthcare, pension, 25 days’ holiday and a remote-first working environment with access to a Central London office.

Interview process: Technical discussion → Presentation → Final commercial/strategic interview.

Find out more and apply via the link below!

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Senior Paid Media Manager | London | £50,000-£62,000 + Bonus

A fast-growing digital growth agency is looking for a Senior Paid Media Manager to join its team in London.

This is a senior, client-facing role where you’ll own key accounts, lead paid media strategy and remain hands-on across campaign execution and optimisation.

Key responsibilities:

• Lead strategy across Paid Search, Paid Social & Display
• Manage client relationships and present performance insights
• Oversee campaign setup, optimisation, budgets and testing
• Identify performance and growth opportunities
• Work closely with analytics, CRO and wider digital teams
• Support new business opportunities

Looking for:

• Strong hands-on Paid Search & Paid Social experience
• Excellent analytical and optimisation skills
• Strong client-facing and presentation skills
• Experience managing budgets and complex campaigns
• Ideally 5+ years’ paid media experience

Location: London
Hybrid: 3 days in office
Salary: £50,000-£62,000 + bi-annual bonus

Interested? Get in touch for a confidential conversation.

Find out more and apply via the link below!

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Analytics Engineer

Freelance role

Amsterdam (Hybrid)

This is an excellent opportunity for an Analytics Engineer to play a key role in shaping a growing data function. You’ll sit at the intersection of Data Engineering and Analytics, helping to build scalable data models, improve data accessibility, and enable better decision-making across the business.

The Company

They are a fast-paced, technology-driven organisation with a strong focus on data as a strategic asset. Operating in a complex, data-rich environment, they are continuing to invest heavily in their data platform and analytics capabilities.

The team is collaborative, ambitious, and focused on delivering high-quality data solutions that create measurable business impact. Experience from FinTech environments is particularly valued, although professionals from other high-growth technology businesses will also be considered.

The Role

You will:

• Develop and maintain robust data models using dbt and SQL.
• Build scalable and reliable analytics datasets that support reporting and decision-making.
• Act as a bridge between Data Engineering and Analytics teams, ensuring data is transformed into meaningful business insights.
• Work closely with stakeholders to understand data requirements and translate them into effective solutions.
• Improve data quality, testing, documentation, and governance practices.
• Contribute to the evolution of the data platform and analytics engineering best practices.

Your Skills & Experience

• Strong commercial experience with dbt.
• Advanced SQL and data modelling expertise.
• Proven ability to work across both engineering and analytics functions.
• Experience building and maintaining modern data transformation pipelines.
• Strong stakeholder management and communication skills.
• Experience within FinTech is highly desirable.
• Candidates from high-growth technology businesses or blended banking and technology environments are also encouraged to apply.
• Passion for creating scalable, well-documented, and high-quality data assets.

What They Offer

• Contract rate
• Competitive benefits package.
• Hybrid working model with flexibility.
• Opportunity to influence a growing data function and have a visible impact on business outcomes.
• Exposure to modern data tooling and best practices.
• Clear scope for professional development and career progression within a high-performing team.

How to Apply

If you’re an Analytics Engineer with strong dbt and SQL data modelling experience and are looking to make a tangible impact within a growing data team, apply today to learn more about this opportunity.

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Data Scientist

Liverpool | Up to £55,000 + Benefits

Join a growing Data Science team within a large UK organisation investing heavily in Data & AI. This is an opportunity to work on customer-focused machine learning projects, help scale Data Science capabilities, and deliver models that create real commercial impact.

The Company
They are building a modern Data Science function as part of a wider data transformation programme. With increasing investment in customer analytics and personalisation, the team is focused on developing scalable solutions that support business growth. The culture is collaborative, pragmatic, and centred on delivering value through production-ready machine learning.

The Role

• Build and deploy predictive and statistical models
• Develop customer segmentation, customer lifetime value, and churn models
• Deliver forecasting and customer analytics solutions
• Work across the full Data Science lifecycle from problem definition to deployment
• Partner with analysts, engineers, and business stakeholders
• Present insights and recommendations to non-technical audiences
• Support the development of Data Science best practices and capabilities

Your Skills & Experience

• Strong commercial Data Science experience
• Excellent Python and SQL skills
• Experience with machine learning and statistical modelling
• Proven experience deploying models into production
• Strong stakeholder management and communication skills
• Exposure to Azure or GCP is advantageous
• Experience with customer analytics or forecasting is beneficial

What They Offer

• Salary up to £55,000, with flexibility for exceptional candidates
• Hybrid working with 3 days per week onsite in Liverpool
• Exposure to high-impact machine learning projects
• Opportunity to help shape a growing Data Science function
• Staff discount, pension, wellbeing support, life assurance, and additional benefits

How to Apply
If you’re a Data Scientist with strong Python, SQL, and machine learning experience looking to make a tangible business impact, please apply today.

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Senior Product Owner – AI

£80,000-£90,000 + £5,000 Car Allowance + Bonus (up to 20%)

London (Hybrid – 3x Days a Week in Office)

The Company

A leading UK organisation is undergoing a major AI transformation, with a dedicated AI Centre of Excellence responsible for identifying, developing and scaling AI opportunities across the business, and is seeking a Senior AI Product Owner. The AI team is moving beyond experimentation and proof-of-concepts, with a clear focus on taking successful AI solutions into production, driving adoption and delivering measurable business value. This is an exciting opportunity to join the AI Product function at a time of significant growth, working alongside senior AI Product leaders, AI Engineers and delivery specialists.

The Role

As the Senior AI Product Owner, you’ll sit at the intersection of Product, AI, business strategy and delivery. This isn’t a traditional Product Owner role where you’ll own a single product roadmap; instead, you’ll own a portfolio of AI opportunities, working with senior stakeholders to identify problems, shape use cases, prioritise initiatives and take solutions from discovery through to production and adoption. You’ll be a trusted partner to the business and the key interface between the AI Centre of Excellence and your domain.

You’ll be involved across the full lifecycle:

• Identifying and shaping AI opportunities
• Leading discovery and problem-framing workshops
• Prioritising a portfolio of AI initiatives
• Defining business outcomes and success measures
• Working with AI, engineering and delivery teams to take solutions into production
• Supporting hands-on delivery where appropriate, including configurable AI tools and low-code/no-code solutions
• Driving user testing, adoption and change
• Measuring usage, business impact and value realisation
• Iterating and improving solutions post-launch
• Ensuring AI initiatives meet appropriate privacy, security and responsible AI requirements

You’ll have a high level of autonomy and will be expected to take ownership, remove blockers and keep initiatives moving from idea through to measurable business outcome.

Your Skills & Experience

I am looking for someone with strong Product Management or Product Ownership fundamentals, combined with genuine hands-on experience delivering AI or GenAI solutions.

You’ll ideally have:

• Strong experience in Product Management, Product Ownership, Business Analysis or Transformation
• A track record of delivering measurable business outcomes
• Experience across discovery, prioritisation, roadmap/backlog management, delivery and post-launch optimisation
• At least one credible end-to-end enterprise AI or GenAI implementation
• Experience taking an LLM-based solution from discovery through to production
• Strong practical understanding of AI and GenAI capabilities and limitations
• Excellent stakeholder management skills, including working with senior business and technical stakeholders
• The ability to translate complex AI concepts into clear business language
• Experience working across multiple initiatives in an ambiguous, fast-moving environment
• A data-driven approach to prioritisation and measuring impact

Most importantly, you’ll need to be able to clearly articulate:

• What AI solution did you deliver?
• What was your personal ownership?
• Why was that approach chosen?
• How did you take it from discovery into production?
• How did you measure success?
• What business impact did it deliver?
• What happened after launch?
• How did you optimise the solution post-production?

The business is open to candidates from a broad range of industries. The key requirement is strong Product capability combined with genuine, demonstrable GenAI delivery experience. Candidates who have worked purely at a strategic, governance or oversight level without significant hands-on delivery experience are unlikely to be suitable.

The Benefits

• Up to £90,000 base salary
• £5,000 cash car allowance
• Up to 20% bonus

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

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CRM Analyst
London (Hybrid) | Salary up to £35,000

Looking to take the next step in your CRM and data analytics career? This is a great opportunity to join a well-established consumer-focused organisation where you’ll play a key role in delivering targeted marketing campaigns, analysing customer behaviour, and helping to drive data-led decision-making across the business.

The Company
They are a recognised organisation with a strong customer focus and a commitment to leveraging data and technology to improve customer engagement. Operating at scale, they invest heavily in digital capabilities, analytics, and customer experience. This role sits within a collaborative team where you’ll have the opportunity to work with a broad range of stakeholders and contribute to impactful CRM initiatives.

The Role
As a CRM Analyst, you will support the delivery and optimisation of CRM campaigns through audience selection, campaign analysis, and customer insight generation.

Responsibilities include:

• Building and defining customer audiences for targeted CRM campaigns
• Using SQL and analytical tools to evaluate campaign performance and generate actionable insights
• Supporting the optimisation of customer targeting strategies across multiple communication channels
• Creating and maintaining campaign data fields and customer data aggregations
• Automating reporting processes and contributing to dashboard improvements
• Ensuring audience selections are accurate, compliant, and aligned with governance requirements
• Collaborating with stakeholders across marketing, data, and technology teams to deliver successful campaigns
• Recommending improvements based on campaign performance and customer behaviour analysis

Your Skills & Experience:

• Strong SQL skills and experience working with customer or marketing data
• Ability to analyse large datasets and identify meaningful trends and insights
• Experience supporting CRM, customer analytics, or marketing campaigns
• Excellent problem-solving and troubleshooting capabilities
• Confidence working independently and managing multiple priorities
• Strong attention to detail and a focus on data accuracy
• Comfortable learning new tools, technologies, and processes
• Excellent communication and stakeholder management skills

How to Apply
If you’re interested in this CRM Analyst opportunity and want to develop your skills within a data-driven environment, apply today to learn more.

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DATA ENGINEER

Up to £55,000 + Benefits
London (Hybrid, 3 days per week in the office)
This is a great opportunity to join a market-leading publisher where you can take ownership of the organisation’s data infrastructure and help shape the future of its data and AI capabilities.

THE COMPANY:

The business has built its success by combining publishing expertise with data-driven decision making, using analytics, reader behaviour insights, and innovative technology to drive commercial performance. The company is investing heavily in its data landscape and AI initiatives, creating an exciting opportunity for a Data Engineer to play a key role in modernising and expanding critical data systems.

THE ROLE:

You will take ownership of designing and building scalable SQL Server environments, developing new data ingestion processes, and supporting strategic transformation projects across the business.

Key responsibilities include:

• Designing and building SQL Server databases from scratch, including schema design, tables, views, stored procedures, and indexing.
• Developing end-to-end data ingestion workflows and ETL processes for new data sources and third-party platforms.
• Reviewing, optimising, and modernising existing SQL Server and SSIS environments.
• Building automation solutions using Python, APIs, and browser-based technologies.
• Working with stakeholders across the business to gather requirements and deliver impactful data solutions.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• SQL Server database architecture, schema design, and development.
• Building SQL Server environments from the ground up.
• SSIS development and optimisation.
• Azure-based integrations, migrations, and data transformation projects.
• Python automation, REST APIs, and data integration.
• Stakeholder management and communication with both technical and non-technical audiences.
• Tableau or other data visualisation platform experience.

THE BENEFITS:

You will receive a salary of up to £55,000 depending on experience, alongside a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Director of Data Research
Remote (UK) | Salary up to £150,000 + Benefits

This is a unique opportunity to lead a high-impact Data Research function at a fast-growing, technology-led organisation. You will shape the strategy behind innovative data products, influence senior stakeholders, and build a scalable research capability that directly contributes to business growth.

The Company
They are a venture-backed data and technology business that provides advanced market intelligence solutions to a global client base. Operating in a high-growth environment, they combine proprietary methodologies with a wide range of data sources to generate valuable commercial insights. The organisation is investing heavily in its technology and data capabilities, creating significant opportunities for senior leaders to make a lasting impact. You will join a collaborative leadership team focused on innovation, quality, and continuous improvement.

The Role

• Define and lead the organisation’s data research strategy in partnership with senior leadership.
• Drive the discovery, assessment, and development of new data products and KPI tracking methodologies.
• Lead complex research initiatives from hypothesis generation through to evidence-based recommendations.
• Evaluate diverse structured and unstructured datasets to identify commercial opportunities.
• Establish and maintain high standards for data evaluation, statistical analysis, and technical excellence.
• Improve processes to increase the speed and accuracy of data source assessments.
• Partner with data acquisition teams to support data purchasing and investment decisions.
• Lead, mentor, and grow a team of highly skilled data professionals.
• Build a scalable research function that supports long-term business objectives.
• Promote the effective use of AI and automation to enhance research quality and efficiency.

Your Skills & Experience

• Strong commercial experience leading data science, data research, analytics, or statistical research teams.
• Deep expertise in statistical analysis, data modelling, and working with complex real-world datasets.
• Advanced Python and SQL skills with the ability to review and challenge technical work.
• Experience designing and leading open-ended research programmes from concept to delivery.
• Proven ability to develop technical standards and improve team performance.
• Strong stakeholder management skills with the ability to communicate complex findings to non-technical audiences.
• Experience balancing technical decision-making with commercial objectives.
• Comfortable operating in fast-paced, evolving environments.
• Exposure to alternative data, financial data, market intelligence, or investment research is advantageous.
• Experience applying AI tools to research, analytics, or data quality workflows is beneficial.

How to Apply
If you are an experienced data leader with a passion for research, innovation, and building high-performing teams, apply today to learn more about this exciting Director of Data Research opportunity.

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