Senior Data Scientist - Fraud Strategy & Decisioning (Hybrid, Equity)

La Fosse; Greater London; Hybrid; GBP 72,000 - 120,000; Full time

Benefits offered by this job

Equity / share options

Hybrid work model

Job summary

La Fosse in London is seeking a Lead Data Scientist - Fraud & Decisioning to own the fraud agenda. This role is hands-on, blending fraud analytics, machine learning, decisioning and technical problem-solving.

You will analyse trends, build detection and prevention solutions, write code, and collaborate with product and business teams. The position offers hybrid working, up to £120,000 plus equity and a pathway to influence the future of fraud prevention at a growing fintech.

Qualifications

• Strong experience in Data Science and Machine Learning.
• Experience across fraud, risk, credit decisioning or financial crime.
• Strong Python and SQL skills.

Responsibilities

• Own and develop the company's fraud strategy and approach.
• Analyse fraud trends, applications and individual cases to identify emerging risks.
• Build and improve fraud detection and prevention solutions.
• Write code and work directly with data and analysis.
• Collaborate with a range of technical, product and business stakeholders.
• Make rapid, data-driven decisions in response to emerging fraud activity.
• Identify what needs to happen next and take ownership of delivering it.
• Help shape the company's approach to AI and emerging technologies within fraud prevention.
• Build relationships across the wider financial services and fraud community.

Skills

Data Science

Machine Learning

Python

SQL

Fraud Analytics

Job description

La Fosse in London is seeking a Lead Data Scientist - Fraud & Decisioning to own the fraud agenda. This role is hands-on, blending fraud analytics, machine learning, decisioning and technical problem-solving.

You will analyse trends, build detection and prevention solutions, write code, and collaborate with product and business teams. The position offers hybrid working, up to £120,000 plus equity and a pathway to influence the future of fraud prevention at a growing fintech.