Head Of Data Value Labs (Fintech)

TL;DR

Head of Data Value Labs (Fintech): Leading the strategic delivery of advanced data models, AI/Gen-AI solutions, and predictive analytics to drive commercial outcomes and personalized client experiences. Focus on building high-performing teams, defining the data roadmap, and integrating data-driven insights into the end-to-end client journey.

Location: Must be based in or able to commute to Bristol, UK (Hybrid role).

Company

hirify.global is the UK’s number 1 investment platform for private investors, dedicated to helping people save and invest for a better future.

What you will do

• Direct the full lifecycle of data science projects, including propensity modeling, Next Best Action (NBA) strategies, and AI/ML implementation.
• Define and execute the strategic roadmap for data value creation across the enterprise.
• Synthesize transactional, behavioral, and demographic data to build a 360-degree view of the client.
• Design and implement automated, personalized client insights, nudges, and alerts to encourage positive financial behaviors.
• Build and mentor a high-performing team of analytics professionals.
• Collaborate with executive stakeholders across Marketing, Product, Technology, and Finance to drive commercial value.

Requirements

• Must have the right to work in the UK (no sponsorship provided).
• Proven experience in a senior analytics leadership role within financial services, wealth management, or fintech.
• Deep expertise in statistical analysis, machine learning, experimental design, and Gen-AI.
• High proficiency in Python, R, and SQL, with experience in cloud-based data warehousing (e.g., AWS, Azure, GCP).
• Strong financial acumen with experience managing P&L and forecasting.
• Excellent communication skills for engaging with the Executive team and Board.

Culture & Benefits

• Discretionary annual bonus and annual pay review.
• Hybrid working model with flexible options.
• 25 days holiday plus bank holidays and additional Christmas closure.
• Pension scheme with up to 11% employer contribution.
• Private medical insurance, life insurance, and income protection.
• Access to wellness programs, fitness providers, and mental health support.

Hiring process

• Director of Data and Insights interview.
• Technical interview.
• Leadership and culture fit interview.