Data Scientist, Fraud - Alternative Credit FinTech

Harnham; Greater London; Ibrido; GBP 70.000 - 95.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid work model

Descrizione del lavoro

Harnham in the United Kingdom is seeking a Data Scientist to own fraud analytics and modelling, shaping fraud prevention across the customer lifecycle. You will work with underwriting, product, engineering and leadership to deploy production fraud models and drive measurable reductions in fraud.

This role offers significant ownership, exposure to production systems, and a hybrid work model with 2 days per week in Central London.

Competenze

• Experience building fraud models and scoring systems.
• Strong statistical and machine learning background.
• Comfort working with cross-functional teams to implement solutions.

Mansioni

• Develop and enhance fraud detection and fraud scoring models.
• Design and implement identity verification and fraud prevention solutions.
• Analyse fraud trends and deliver actionable business insights.
• Introduce new data sources and features to improve model performance.
• Collaborate with product and engineering to deploy production fraud models.
• Drive measurable reductions in fraud through analytics and machine learning.
• Support wider data science initiatives across decisioning and risk functions.

Descrizione del lavoro

Want to own fraud analytics in a growing FinTech?

Interested in building fraud models that directly influence customer decisions?

Looking for a role with real ownership, visibility, and impact?

A high-growth UK FinTech is hiring a Data Scientist to help shape the future of its fraud capability. The business has built a unique lending model that provides customers with a more predictable and accessible way to borrow, while also supporting financial education initiatives across the UK. With around 100 employees and a collaborative culture, this is an opportunity to join a business where your work will be highly visible and commercially impactful. You'll work closely with underwriting, product, engineering and leadership teams to improve fraud prevention and decisioning.

This Data Scientist position focuses on fraud analytics, fraud modelling and fraud prevention across the full customer lifecycle. The role offers significant ownership, exposure to production systems and the opportunity to influence how the business detects and prevents fraud at scale.

Key Responsibilities

• Develop and enhance fraud detection and fraud scoring models
• Design and implement identity verification and fraud prevention solutions
• Analyse fraud trends and deliver actionable business insights
• Introduce new data sources and features to improve model performance
• Collaborate with Product and Engineering to deploy production fraud models
• Drive measurable reductions in fraud through analytics and machine learning
• Support wider data science initiatives across decisioning and risk functions

Working Model: Hybrid, 2 days per week in Central London office