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PRODUCT ANALYST

£50,000 + Benefits

LONDON – HYBRID (2 DAYS PER WEEK IN OFFICE)

Please note, you must be a UK resident with full right to work.

ABOUT THE BUSINESS

This global media organisation operates at significant scale, with a strong presence across North America, Europe, and the UK. The business combines a sophisticated technology platform with a large media and publishing operation, powering high-traffic content sites that reach millions of users worldwide.

The publishing arm of the business focuses on owned and operated digital brands across sport and entertainment, generating revenue primarily through advertising, audience engagement, and emerging subscription models. Data and analytics sit at the heart of how audiences are understood, grown, and monetised.

THE TEAM

You’ll join a multidisciplinary analytics function supporting the owned and operated publishing side of the business. The team works closely with editorial, product, commercial, and technology stakeholders and includes analysts, data engineering, and data science capability.

This role is a backfill within a lean but high-impact team, offering visibility across the full publishing ecosystem and exposure to large-scale, high-volume datasets.

THE ROLE

This is a hands-on analytics role focused on understanding audience behaviour, improving engagement, and supporting revenue growth across large content platforms. You’ll analyse how users interact with content, test changes to on-site journeys, and help shape decisions around registration, subscriptions, and monetisation.

The role requires someone comfortable working across ambiguity, able to manage stakeholders confidently, and capable of balancing technical delivery with commercial impact.

KEY RESPONSIBILITIES

Audience & Product Analytics

• Analyse user behaviour across high-traffic content sites to understand engagement, retention, and return visits.
• Evaluate registration walls and sign-up flows, assessing their impact on user experience and revenue potential.
• Support decision-making around subscriptions, premium content, and audience capture strategies.

Engagement & Experimentation

• Optimise content recirculation, including navigation, “what to read next”, internal linking, and dwell time.
• Design and analyse A/B tests to assess changes to layouts, journeys, and engagement mechanics.
• Translate experimental results into clear recommendations for product and editorial teams.

Broader Commercial Insight

• Support ad and monetisation strategy by helping teams understand audience segments and behaviour.
• Contribute to ad hoc analysis across the business, including forecasting site traffic and evaluating new initiatives.
• Explore emerging use cases such as AI-driven content enhancements and their impact on engagement.

Data & Reporting

• Query large-scale datasets within a cloud data warehouse environment.
• Build and maintain clear, actionable reporting to support product, editorial, and commercial stakeholders.
• Work with web analytics tools to validate tracking and interpret on-site behaviour.

SKILLS & EXPERIENCE REQUIRED

• Strong SQL skills with experience querying large, complex datasets (essential).
• Experience working with cloud-based data warehouses.
• Hands-on experience with web or digital analytics; familiarity with Google Analytics is a strong advantage.
• Comfortable analysing experimentation and A/B testing results.
• Ability to communicate clearly, push back where needed, and manage expectations with stakeholders.
• Experience working in fast-paced environments with evolving requirements.

Nice to Have:

• Python experience or interest.
• Background in media, publishing, or agency environments.

WHY APPLY?

• Work on products with millions of users and genuinely large-scale datasets.
• Play a key role in shaping audience engagement and monetisation strategy.
• High-impact role with exposure across product, editorial, and commercial teams.
• Flexible working, collaborative culture, and strong long-term growth opportunities.

To Apply for this Job Click Here

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CREDIT RISK ANALYST

£50,000

SOUTH-EAST ENGLAND

THE COMPANY

This fast-growing and innovative FinTech are looking for a motivated candidate to work across credit strategy and modelling. This role offers a chance to join a fast-paced company who are continuing to go from strength to strength to drive analytical and strategic insight. They are a smaller business, allowing you to see a real impact in your work as part of a close-knit team.

THE ROLE

• Development of a range of models including scorecards and pricing models
• Implementation of models to enhance business performance and explore new data techniques
• Portfolio reviews and deep dives as necessary to understand customer trends
• Broader data analysis to enhance and develop lending strategy and profitability

YOUR SKILLS AND EXPERIENCE

• Previous experience in the credit risk space – they are open to people with modelling experience OR strategy work with model exposure
• Essential to have had experience in retail lending (e.g. Credit Cards, Loans, Motor)
• Essential to have experience using SQL
• Educated to at least degree level in a numerate degree

SALARY AND BENEFITS

• Up to £50,000 base salary
• Pension contribution scheme
• 25 days holiday
• Private medical care
• Flat structure and clear opportunities for progression

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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CREDIT RISK MODEL SPECIALIST

£50-60,000

MANCHESTER/LEEDS/LONDON

This role is an exciting opportunity to join a well-known consultancy in a time of growth. This position offers the chance to work on a broad range of projects and use Python as this is rolled out across the business.

THE COMPANY

This client is an established consultancy who specialise in analytics, with this role focusing specifically on credit risk model monitoring and audit. You could work with a range of businesses across the UK including banks and FinTechs. This is a really exciting time for the business as they implement Python and AI, offering the chance to get involved in this when not on project work.

THE ROLE

Your work will vary significantly based on projects, however you can expect to:

• Analyse and monitor a range of models including IFRS9, IRB, Stress Testing and wider credit risk models
• Work on model validations, audits, oversight and wider implementation
• Use Python for client work as the business roll this out across teams
• Work on climate risk analysis and wider monitoring

YOUR SKILLS AND EXPERIENCE

• Prior experience with Scorecards, IFRS9 or IRB models in either a development or validation role
• Strong knowledge and experience using Python
• Excellent communication skills and experience working closely with stakeholders
• Educated to at least degree level in a numerate degree

SALARY AND BENEFITS

• Up to £60,000 base salary
• Discretionary bonus
• Private health insurance
• Pension contribution scheme
• Cycle to work scheme

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

To Apply for this Job Click Here

To Apply for this Job Click Here

DATA ENGINEER

LOCATION: PARIS (HYBRID)

SALARY: €120,000 + Equity

Shape the future of AI safety by building data pipelines that handle massive scale, your work will power innovation across research and production

THE OPPORTUNITY

The company is a fast-growing AI safety organisation focused on building the reliability and optimisation layer for AI systems. Its core platform uses natural-language policies to define what AI models should and shouldn’t do, automatically testing and enforcing these rules at scale. Backed by $11M in funding from leading investors and senior figures at major AI and tech firms, the company processes over 100 million API calls monthly.

It also fine-tunes and trains its own large language models to deliver faster and more cost-effective performance than open or proprietary alternatives. The team is small, highly focused, and committed to solving hard problems with real-world impact. Employees enjoy a collaborative environment where work ships quickly to production and directly influences the future of AI safety.

ROLE AND RESPONSIBILITY

This role focuses on designing and building scalable data pipelines and environments to handle petabytes of logs, events, and model outputs. You’ll develop internal APIs and tools that enable engineering and research teams to access data seamlessly without infrastructure complexity. Responsibilities include optimising performance for analytics workloads and enforcing governance, permissions, and security policies.

Strong proficiency in SQL and Python is essential, along with experience in modern data stacks such as Snowflake, ClickHouse, and event streaming technologies. Familiarity with dashboarding tools like Metabase or Tableau is a plus. This is an opportunity to make a significant impact in a fast-paced, AI-driven environment with competitive salary, equity, and relocation support.

INTERVIEW PROCESS

1. CV Review and Introductory Conversation
2. Technical Interview – Deep Technical Conversation
3. Product Interview – Evaluating Communication and Collaboration with ML

Apply today and be part of shaping the future of AI safety!

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QUANT ANALYST – CONSUMER LENDING INVESTMENT

£200,000 to £220,000 TOTAL COMP (SALARY + BONUS)

LONDON

A fast-growing alternative investment firm specialising in data-driven credit strategies across consumer and SME lending. The organisation combines deep quantitative expertise with proprietary analytics to deploy capital efficiently across multiple asset classes and geographies. Known for its entrepreneurial culture, the firm offers employees significant exposure, responsibility, and the opportunity to influence investment and risk decisions at scale.

THE ROLE

Day to day responsibilities include but are not limited to:

• Contribute directly to the expansion of a rapidly growing asset-backed finance platform, supporting both origination and portfolio management activities.
• Design, develop, and enhance quantitative models used for investment pricing, portfolio optimisation, and risk evaluation across structured credit assets.
• Perform detailed analysis of large and complex financial datasets to inform investment decisions and ongoing risk oversight.
• Partner with teams across investment, risk, and operations to improve performance, controls, and lifecycle management of asset-backed finance exposures.
• Support the selection, development, and enhancement of data platforms and analytical tools used to capture, process, and monitor investment-related information.
• Track market developments, structural trends, and regulatory changes relevant to asset-backed and specialty finance markets, providing actionable insights to senior stakeholders.
• Assist with end-to-end investment processes, including due diligence, execution, and post-investment monitoring.
• Review portfolio performance and prepare analysis and materials for regular and ad hoc investment committee discussions.

SKILLS AND EXPERIENCE

• Strong understanding of consumer/SME lending
• Strong analytical background
• Python experience is a must
• Candidate can come from a data science or analytics or scoring or quant background across the board if you have consumer/sme lending experience
• 5+ years of experience
• A strong university degree in a numerate discipline

HOW TO APPLY

Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior AI Engineer – 2 days Manchester

You will be responsible for designing and delivering production-ready AI and ML solutions that drive business value. This role focuses on building scalable data pipelines, deploying machine learning models, and embedding AI into products and decision-making.

Responsibilities

• Build and maintain end-to-end AI/ML pipelines
• Develop, deploy and monitor machine learning models
• Apply MLOps best practices including CI/CD
• Collaborate with data, analytics and engineering teams
• Ensure data governance, security and responsible AI

Experience

• Strong experience in ML engineering and data pipelines
• Python, SQL and Git proficiency
• Hands-on use of ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn)

To Apply for this Job Click Here

To Apply for this Job Click Here

PRODUCT ANALYST

SALARY UP TO £60,000

LOCATION – LONDON – HYBRID – 2 days a week in office

THE COMPANY

A global media organisation which owns and operates multiple high-traffic digital brands across sport and entertainment, attracting millions of users!

THE ROLE

This is an Analyst role focused on audience analytics, engagement, and monetisation across large-scale publishing platforms. You’ll work closely with product, editorial, commercial, and tech teams to understand user behaviour and help shape how audiences are acquired, retained, and monetised.

Key responsibilities include:

• Analysing the effectiveness of registration walls and audience capture strategies, including how interest data is collected and used
• Assessing whether premium content, paywalls, or subscription models can drive incremental revenue
• Designing and analysing A/B tests to improve engagement, relevance, and retention
• Working across multiple areas of the business as priorities evolve
• Audience forecasting and traffic modelling
• Evaluating the impact of AI-driven initiatives (e.g. content summarisation)
• Partnering with stakeholders to translate insights into practical changes, while managing expectations and pushing back where needed

YOUR SKILLS AND EXPERIENCE

• Strong SQL capability, with experience querying large-scale datasets
• Experience working with high-volume user or audience data
• Background in media, publishing, agency, or similarly fast-paced digital environments preferred
• Confident working with web analytics tools (GA experience beneficial)
• Comfortable holding your own with stakeholders, managing direct communication styles, and challenging assumptions
• Ability to balance technical depth with commercial and product-focused thinking

NICE TO HAVE

• Experience with cloud data warehouses (e.g. GCP)
• Python experience or interest
• Exposure to experimentation frameworks or forecasting models

BENEFITS

• Salary around £60,000
• Hybrid working: two days per week in a Central London office
• Core collaboration hours with flexibility around start and finish times
• Opportunity to work on globally recognised platforms with significant scale and data complexity
• Join a growing analytics function with exposure to product, media, and commercial strategy

To Apply for this Job Click Here

To Apply for this Job Click Here

PRODUCT ANALYST

SALARY UP TO £60,000

LOCATION – LONDON – HYBRID – 2 days a week in office

THE COMPANY

A global media organisation which owns and operates multiple high-traffic digital brands across sport and entertainment, attracting millions of users!

THE ROLE

This is an Analyst role focused on audience analytics, engagement, and monetisation across large-scale publishing platforms. You’ll work closely with product, editorial, commercial, and tech teams to understand user behaviour and help shape how audiences are acquired, retained, and monetised.

Key responsibilities include:

• Analysing the effectiveness of registration walls and audience capture strategies, including how interest data is collected and used
• Assessing whether premium content, paywalls, or subscription models can drive incremental revenue
• Designing and analysing A/B tests to improve engagement, relevance, and retention
• Working across multiple areas of the business as priorities evolve
• Audience forecasting and traffic modelling
• Evaluating the impact of AI-driven initiatives (e.g. content summarisation)
• Partnering with stakeholders to translate insights into practical changes, while managing expectations and pushing back where needed

YOUR SKILLS AND EXPERIENCE

• Strong SQL capability, with experience querying large-scale datasets
• Experience working with high-volume user or audience data
• Background in media, publishing, agency, or similarly fast-paced digital environments preferred
• Confident working with web analytics tools (GA experience beneficial)
• Comfortable holding your own with stakeholders, managing direct communication styles, and challenging assumptions
• Ability to balance technical depth with commercial and product-focused thinking

NICE TO HAVE

• Experience with cloud data warehouses (e.g. GCP)
• Python experience or interest
• Exposure to experimentation frameworks or forecasting models

BENEFITS

• Salary around £60,000
• Hybrid working: two days per week in a Central London office
• Core collaboration hours with flexibility around start and finish times
• Opportunity to work on globally recognised platforms with significant scale and data complexity
• Join a growing analytics function with exposure to product, media, and commercial strategy

To Apply for this Job Click Here

To Apply for this Job Click Here

HEAD OF DATA MANAGEMENT

£90,000-£100,000

NOTTINGHAM (Hybrid)

This company is going through a massive transformation and is looking for a data leader who’s ready to rebuild how an organisation thinks about, governs, and uses its data from the ground up. This is a high-impact, highly visible position where you’ll be working closely with Senior Leadership to drive real change across data quality, privacy and compliance.

THE ROLE:

A Head of Data Management will need to:

• Own and deliver the enterprise Data Management Strategy
• Lead data stewardship
• Evolve and mature data governance
• Oversee the full data lifecycle
• Partner with senior leaders

YOUR SKILLS AND EXPERIENCE:

A successful Head of Data Management will have the following skills and experience:

• Strong experience with ETL, APIs and modern cloud data platforms
• Skilled in SQL and Python
• Knowledge of data quality tools
• Understanding of data governance frameworks, lifecycle management and architecture
• Experience working in regulated environments

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £100,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

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

To Apply for this Job Click Here