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Head of Data Science

Harnham

Greater London

Hybrid

GBP 120,000 - 150,000

Full time

11 days ago

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Job summary

An innovative fintech lender is seeking a Head of Data Science to lead data-driven strategies in credit scoring and fraud prevention. This senior role offers the opportunity to shape a next-generation lending platform in a high-growth environment backed by significant funding. You will design scalable models, enhance acceptance rates, and develop cutting-edge fraud detection techniques. Join a forward-thinking company that combines AI-powered solutions with a mission-driven approach, and make a significant impact in the lending industry while enjoying a modern, hybrid working model.

Benefits

Private medical insurance
Modern office with hybrid working model

Qualifications

  • 5+ years in data science or credit analytics in a financial service or fintech environment.
  • Strong background in credit risk and fraud strategy.

Responsibilities

  • Leading credit, fraud, and collections analytics across the credit lifecycle.
  • Designing scalable data science models to improve lending performance.

Skills

Data Science
Credit Analytics
Fraud Strategy
Python
SQL
Machine Learning

Job description

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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Building Credit Risk, Fraud, and Pricing Analytics teams across the UK | The Talent Driving The Data and AI Revolution

HEAD OF DATA SCIENCE

LONDON

A fast-growing fintech lender is seeking a high-calibre Head of Data Science to lead their data-driven strategies across credit scoring, fraud prevention, and collections. This senior leadership role offers the chance to shape a next-generation lending platform in a high-growth environment backed by over £100m in funding.

THE COMPANY

This fintech is revolutionising the industry by embedding intelligent lending solutions into the customer journey. Backed by tier-one investors and experiencing rapid growth, they combine AI-powered credit assessment with a modern, mission-driven approach to lending.

THE ROLE

As Head of Data Science, your day-to-day responsibilities include but are not limited to:

  • Leading credit, fraud, and collections analytics across the credit lifecycle
  • Designing scalable data science models to improve lending performance
  • Enhancing acceptance rates while maintaining strong credit quality
  • Developing fraud detection techniques using cutting-edge algorithms
  • Owning collections strategy and driving recovery improvements
  • Collaborating with teams across product, risk, operations, and compliance

SKILLS AND EXPERIENCE

  • 5+ years in data science or credit analytics in a financial service or fintech environment
  • Strong background in credit risk and fraud strategy
  • Experience with responsible lending regulations
  • Proficiency in Python, SQL, and modern statistical/machine learning methods
  • Experience building and deploying decisioning frameworks
  • Comfortable working across multiple analytical domains and teams

THE BENEFITS

  • Private medical insurance
  • Modern office with hybrid working model

HOW TO APPLY

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

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Finance

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