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Digital Analytics Implementation Specialist

London | Hybrid – 3 days per week in the office
Salary: Up to £60,000 + bonus and benefits

We’re partnering with a leading global digital entertainment business to recruit a Digital Analytics Implementation Specialist to join its growing analytics team.

This is an exciting opportunity to contribute to a major digital analytics transformation, improving tracking infrastructure and data quality across a range of digital products.

The Role

• Implement and maintain digital tracking across web platforms.

• Support data layer development, tagging and tracking QA.

• Identify and resolve tracking issues to improve data accuracy.

• Work closely with Product, Analytics and Marketing Technology teams.

• Contribute to the development of measurement strategies and tracking standards.

About You

• Experience in digital analytics implementation or web instrumentation.

• Strong knowledge of Adobe Analytics and JavaScript.

• Experience with data layers, tag management and debugging.

• A detail-oriented approach with strong problem-solving skills.

• Comfortable working in a fast-paced, evolving environment.

Experience with Adobe Web SDK, GA4 or server-side tracking would be advantageous.

What’s on Offer?

• Salary up to £60,000 plus a 10% bonus.

• Hybrid working, with 3 days per week in the office.

• Pension, healthcare benefits and discounted entertainment offers.

• The opportunity to work on a significant analytics transformation programme using modern technologies.

Interested in taking the next step in your digital analytics career? Get in touch to find out more.

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Senior Product Analyst

London (Hybrid – 2 days per week in the office)
Salary: Up to £75,000 + benefits

We’re partnering with an exciting global digital media and technology business to recruit a Senior Product Analyst to join its growing analytics team.

Operating at the intersection of digital content, technology and consumer engagement, the business reaches millions of users through a portfolio of well-established online brands and products.

The Role

This is an excellent opportunity for a highly analytical, SQL-focused professional looking to develop further into Product Analytics. You’ll work with large-scale digital and customer datasets to understand user behaviour, improve engagement and help shape the future of digital products.

Working closely with Product, Engineering and wider business teams, you will turn complex data into actionable insights that drive product improvements and better customer experiences.

Key Responsibilities

• Analyse large-scale user and event data using advanced SQL.

• Understand audience behaviour, engagement patterns and customer journeys.

• Identify key user segments, cohorts and opportunities to improve retention.

• Support event tracking, measurement and user identity analysis.

• Contribute to A/B testing, experimentation and feature performance analysis.

• Partner with Product and Engineering teams to improve digital experiences.

• Translate analytical findings into clear recommendations for stakeholders.

• Explore opportunities to use AI tools to improve analytical workflows.

About You

• Strong, hands-on SQL skills, with experience querying large datasets.

• Background in digital, customer, audience or user analytics.

• Experience working with behavioural data, customer journeys or engagement metrics.

• Comfortable working across multiple analytical challenges in a fast-paced environment.

• Strong communication skills and the ability to turn data into meaningful business recommendations.

• Naturally curious, commercially minded and keen to move closer to Product Analytics.

Experience with BigQuery, GCP, Snowflake, GA4 or other cloud data platforms and digital analytics tools would be advantageous. Exposure to A/B testing and product experimentation is also beneficial.

What’s on Offer?

• Salary of up to £75,000, plus benefits.

• Hybrid working, with 2 days per week in a London office.

• The opportunity to work with large-scale digital data and millions of users.

• A broad, hands-on analytical role with scope to develop towards Product Analytics.

• Close collaboration with Product and Technology teams.

• The chance to make a tangible impact on user engagement and product development.

If you’re a strong SQL analyst with a background in digital or customer analytics and are looking for your next step towards Product Analytics, we’d love to hear from you.

Find out more and apply via the link below!

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Chief Technology Officer (CTO)

Hybrid in New York City

$300,000-350,000 base + Equity

THE COMPANY

Our client is a high-growth AI-native technology company transforming the advertising and marketing ecosystem. The business is building a unified platform designed to replace fragmented agency and martech workflows with intelligent, autonomous systems that streamline campaign strategy, creative development, media activation, optimization, and reporting.

Backed by a strong product vision and an experienced leadership team, the company is at the forefront of applying agentic AI to real-world enterprise workflows. They are now seeking a Chief Technology Officer (CTO) to define the technology strategy, scale the engineering organization, and lead the next phase of growth.

RESPONSIBILITIES

• Define and execute the company’s technology vision, architecture strategy, and long-term product roadmap.
• Lead and scale a high-performing engineering organization, fostering a culture of innovation, accountability, and technical excellence.
• Drive the development of AI-native products, agentic workflows, orchestration frameworks, and enterprise-grade automation capabilities.
• Oversee platform architecture, ensuring scalability, reliability, security, observability, and operational excellence as the business grows.
• Partner closely with Product, Commercial, and Customer teams to translate complex advertising and marketing workflows into market-leading software solutions.
• Evaluate emerging AI technologies, LLM frameworks, agent architectures, and infrastructure strategies to maintain a competitive edge.
• Establish engineering best practices covering software development lifecycle, AI governance, deployment standards, testing, and monitoring.
• Build strategic relationships with customers, technology partners, and industry stakeholders to support product innovation and market expansion.
• Lead technical recruitment and organizational growth while mentoring senior engineering talent and future technical leaders.
• Serve as a key member of the executive leadership team, contributing to company-wide strategy, growth planning, and investor discussions.

SKILLS & EXPERIENCE

Required

• Significant software engineering and technology leadership experience, including building and scaling modern SaaS platforms.
• Deep expertise in AI, machine learning, LLM-powered applications, and agentic architectures.
• Strong architectural knowledge across distributed systems, APIs, cloud infrastructure, data platforms, and enterprise integrations.
• Proven track record of delivering complex products from concept through production in fast-moving, high-growth environments.
• Experience building and leading engineering teams, including hiring, mentorship, performance management, and organizational design.
• Demonstrated ability to balance strategic leadership with hands-on technical decision-making.
• Excellent communication skills with the ability to engage technical teams, executive stakeholders, customers, and investors.

Nice to Have

• Experience within advertising technology (AdTech), marketing technology (MarTech), media, or related digital ecosystems.
• Knowledge of enterprise data platforms, CDPs, DSPs, SSPs, advertising APIs, and campaign management systems.
• Exposure to agent orchestration frameworks, multi-agent systems, and model context protocols.
• Experience evaluating or deploying self-hosted and enterprise AI infrastructure.

BENEFITS

• Fully remote-first working environment across the US
• Opportunity to shape technology strategy at an executive level
• Significant influence over product direction and company growth
• Work alongside a highly experienced and senior technical team
• Fast-moving startup environment with substantial ownership and impact
• Equity participation potential and executive-level compensation package

HOW TO APPLY

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

KEY TERMS

CTO | Chief Technology Officer | VP Engineering | AI Leadership | Artificial Intelligence | Agentic AI | Generative AI | LLMs | SaaS | Cloud Architecture | Distributed Systems | Engineering Leadership | AdTech | MarTech | Machine Learning | Platform Engineering | Product Strategy | Remote US | Startup Leadership | Executive Technology Role

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HEAD OF FRAUD
LONDON | £110,000 – £120,000 + EQUITY
This is an exciting opportunity to join a fast-growing consumer lending business as their first dedicated fraud leader. You’ll take ownership of fraud strategy across the organisation, helping to build a more advanced, data-driven fraud capability while leveraging AI and analytics to tackle increasingly complex fraud threats.

THE COMPANY
They are a scaling fintech operating within the consumer lending space, using technology and data to create a seamless digital customer experience. Following continued growth and recent investment, the business is entering an important phase of its journey with a strong focus on sustainable growth and operational excellence.
With a lean, high-performing culture and a collaborative environment, they are looking for an experienced fraud professional to take ownership of fraud strategy and help shape the future direction of the function.

THE ROLE
* Own fraud strategy across the customer lifecycle, with a particular focus on application and identity fraud
* Develop and optimise fraud rules, controls, and decisioning frameworks
* Build a sophisticated fraud analytics capability to identify emerging risks and opportunities
* Use data, machine learning, and AI-driven approaches to improve fraud detection and prevention
* Partner with Credit, Product, Engineering, and Operations teams to implement effective fraud controls
* Assess new technologies and contribute to the development of AI-enabled fraud solutions
* Deliver fraud insights, reporting, and recommendations to senior stakeholders
* Act as the fraud subject matter expert across the business in a highly visible individual contributor role
* Help define the long-term fraud roadmap within a growing lending organisation

YOUR SKILLS & EXPERIENCE
* Strong commercial experience within fraud analytics, fraud strategy, or financial crime analytics
* Experience within lending, fintech, payments, banking, or other regulated financial services environments
* Proven track record of using data to identify, investigate, and prevent fraud
* Advanced SQL skills and the ability to work hands-on with large datasets
* Python experience and exposure to statistical modelling, machine learning, or data science techniques
* Understanding of modern AI applications within fraud detection and decisioning
* Strong analytical and problem-solving skills
* Numerate academic background
* Excellent communication skills and the ability to influence stakeholders across the business

WHAT THEY OFFER
* £110,000 – £120,000 base salary
* Equity package
* Hybrid working model with three days per week in the London office
* Exposure to innovative AI and analytics initiatives
* High levels of autonomy and visibility with senior leadership
* Excellent career development opportunities as the business continues to grow

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 a rare opportunity to shape the future of consumer lending within a fast-growing financial services business. Backed by significant investment and reporting directly into senior leadership, you will take ownership of high-impact initiatives that redefine lending capabilities, unlock new revenue opportunities, and deliver measurable commercial value.

The Company
This established UK fintech operates within the consumer lending space and has a strong track record across credit risk management, lending performance, and customer outcomes. With a solid operational foundation already in place, the business is now investing heavily in innovation and strategic growth.
They are focused on developing new lending capabilities, customer propositions, and distribution opportunities that can create a genuine competitive advantage. The environment is entrepreneurial, data-driven, and highly collaborative.

The Role
As Head of Lending Innovation & Credit Strategy, you will lead the development and delivery of transformational lending initiatives from concept through to implementation and business impact.
Key responsibilities include:

• Identifying and owning high-value lending initiatives that drive growth and improve customer outcomes.
• Developing new customer segments, lending propositions, and distribution channels.
• Exploring opportunities across re-lending, cross-sell strategies, and customer lifecycle value.
• Designing innovative credit strategies and lending capabilities.
• Building commercial business cases, modelling opportunities, and assessing strategic trade-offs.
• Taking ownership of initiatives across strategy, pricing, credit design, go-to-market planning, delivery, and BAU transition.
• Collaborating with Credit Risk, Product, Finance, Commercial, and Operations teams to bring ideas to market.
• Influencing senior stakeholders and maintaining accountability for measurable outcomes.
• Driving experimentation, continuous improvement, and innovation across the lending proposition.
• This is a hands-on individual contributor role with significant autonomy and visibility. Success will come from your ability to build, influence, and execute rather than manage a large team.

Your Skills & Experience

• Strong experience within FinTech, consumer lending, credit risk, or a closely related environment.
• Deep understanding of lending products, credit strategy, and commercial decision-making.
• Advanced SQL skills are essential.
• Experience using Python for analysis, modelling, or strategy development is highly desirable.
• Proven ability to develop and deliver new propositions, products, or lending initiatives.
• Strong commercial acumen with the ability to evaluate risk, pricing, and growth opportunities.
• Comfortable operating in a fast-paced, entrepreneurial environment.
• Excellent stakeholder management and influencing skills.
• A proactive, innovative mindset with a track record of taking ownership and delivering measurable impact.

What They Offer

• Performance-related bonus.
• Comprehensive benefits package.
• Direct exposure to executive leadership and strategic decision-making.
• Opportunity to own and shape major lending initiatives from inception to launch.
• High levels of autonomy and visibility across the business.
• Clear opportunity to influence the future direction of a growing fintech organisation.

How to Apply
If you are a commercially minded lending or credit professional with strong SQL skills and a passion for building innovative lending solutions, please apply with your CV to discuss this opportunity in more detail.

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APPLIED DATA SCIENTIST, FRAUD PREVENTION

£55,000 – £65,000

LONDON (HYBRID)

This is an exciting opportunity to join a growing FinTech with an innovative approach to lending. You’ll play a key role in building and improving fraud prevention capabilities, working on high-impact machine learning projects that directly influence customer outcomes, risk strategy, and business performance.

THE COMPANY

Our client is a forward-thinking FinTech with a people-focused culture that prioritises teamwork and continuous development. Data is at the heart of their decision-making, and they are continuing to invest in advanced analytics to support growth and innovation. This role sits within a collaborative data science team where you will have the opportunity to make a tangible impact from day one.

THE ROLE

* Develop and deploy fraud detection, identity verification, and fraud scoring models

* Analyse large and complex datasets to identify fraud trends, risks, and opportunities

* Evaluate new data sources, machine learning techniques, and fraud prevention tools

* Build monitoring and reporting solutions to track model and fraud performance

* Collaborate with Product, Engineering, Risk, and Data teams to deliver business-critical initiatives

* Help shape the future direction of fraud analytics across the organisation

YOUR SKILLS AND EXPERIENCE

* Strong commercial experience in fraud analytics, fraud prevention, or financial crime

* Hands-on experience developing machine learning models using Python

* Strong SQL and data analysis capabilities

* Knowledge of statistical modelling and predictive analytics techniques

* Excellent communication skills with the ability to influence stakeholders

* Experience within fintech, lending, or financial services would be beneficial

SALARY AND BENEFITS

* £55,000 – £65,000 base salary depending on experience

* Annual bonus scheme

* Contributory pension

* Private healthcare

* Hybrid working model – 2 days in office

HOW TO APPLY

Please register your interest by sending your CV through the ‘Apply’ link.

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ASSOCIATE VICE PRESIDENT – MARKETING MEASUREMENT & ANALYTICS
DALLAS, TX (ONSITE)
EXECUTIVE COMPENSATION + BONUS + LONG-TERM INCENTIVES

The Opportunity
Join a household-name consumer brand at a pivotal moment as it transforms how marketing performance is measured, optimized, and tied directly to business growth.

This is an opportunity to build and lead a modern Marketing Analytics function responsible for helping executive leadership understand which investments drive customer acquisition, retention, revenue, and ROI.

You’ll sit at the intersection of data, marketing, technology, and strategy, influencing major business decisions while creating the measurement framework that powers future growth.

What You’ll Do

• Build and scale a centralized Marketing Analytics and Measurement organization
• Create the frameworks, metrics, and standards used to evaluate marketing effectiveness across the enterprise
• Lead cross-channel campaign measurement, performance reporting, and optimization efforts
• Partner with senior marketing and business leaders to guide investment decisions through data-driven insights
• Translate complex analytics into clear actions that improve customer growth and marketing ROI
• Develop advanced measurement capabilities including experimentation, predictive analytics, and attribution strategies
• Leverage AI, automation, and emerging technologies to modernize analytics and reporting
• Drive consistency across internal teams, external partners, and agency relationships
• Establish a culture of accountability, transparency, and continuous performance improvement
• Lead, mentor, and grow high-performing teams of analytics professionals

What We’re Looking For

• Proven success leading Marketing Analytics, Marketing Sciences, Measurement, or Customer Insights teams
• Experience building scalable analytics capabilities within large, complex organizations
• Deep expertise in campaign measurement, experimentation, attribution, optimization, and marketing effectiveness
• Strong understanding of modern marketing channels and the drivers behind customer acquisition and engagement
• Ability to combine technical expertise with business strategy and executive influence
• Experience working closely with external agencies, media partners, and cross-functional stakeholders
• Strong background in advanced analytics, reporting, and performance measurement tools
• Track record of turning analytics into business outcomes, not just reports and dashboards
• Exceptional communication skills with the ability to influence senior leadership

Nice to Have

• Experience leading analytics or measurement functions within Fortune 500 environments
• Background in telecommunications, technology, financial services, retail, media, or other consumer-focused industries
• Expertise in Marketing Mix Modeling (MMM), Incrementality Testing, Attribution, or Marketing Sciences
• Experience applying AI and machine learning to marketing performance and decision-making
• MBA or advanced degree in Analytics, Business, Statistics, Data Science, or related field

Why This Role

• Build a next-generation measurement function with enterprise-wide visibility
• Influence high-profile marketing and investment decisions
• Partner directly with executive leadership on growth strategy
• Shape how a major consumer brand measures success across every marketing channel
• Lead a large-scale transformation powered by advanced analytics and AI
• Create lasting impact on customer growth, marketing effectiveness, and business performance

If you’re passionate about connecting data to business outcomes and want the opportunity to redefine how a major organization measures marketing success, this is a unique leadership opportunity to make a lasting impact.

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