Senior Manager, Data Science (Fintech)

TL;DR

Senior Manager, Data Science (Fintech): Leading the development of predictive modelling solutions for the customer credit journey with an accent on end-to-end delivery, governance, and commercial impact. Focus on building robust production-ready models, shaping the data science roadmap, and coaching a high-performing team of quantitative specialists.

Location: Hybrid in London, UK

Company

hirify.global is a financial services company specializing in customer credit journeys and data-driven credit solutions.

What you will do

• Lead the full lifecycle of predictive modelling projects from scoping and planning to validation and ongoing ownership.
• Ensure all data science solutions meet the highest standards of governance and regulatory compliance.
• Act as the primary owner of deployed models, providing continuous updates, insights, and performance improvements.
• Contribute to the development of gold-standard technical data science capabilities.
• Coach and develop a team of data scientists and quantitative specialists to foster a high-performing culture.

Requirements

• Degree in a highly analytical field such as Data Science, Mathematics, Statistics, or Quantitative Finance.
• Demonstrated experience applying data science to product optimization, personalization, fraud, or business optimization.
• Proven track record of end-to-end ownership of data science delivery.
• Strong hands-on background as a data scientist or modeler with deep technical expertise.
• Experience leading and developing teams of quantitative specialists.
• Must be based in or able to work in London (Hybrid).

Nice to have

• Experience with Agentic AI tools and practices (e.g., Claude Code, Kiro, Codex).
• Knowledge of advanced techniques like deep learning or numerical optimization.
• Experience coordinating complex delivery in collaboration with MLOps teams.
• History of championing data science in emerging business areas.

Culture & Benefits

• Commitment to diversity and an inclusive working culture.
• Equal opportunity employer focusing on authenticity and belonging.
• Reasonable adjustments and accommodations for disabilities or caring responsibilities.
• Inclusive job design process.