Lead Data Scientist - Credit/Fraud
Location: London, 2 WFH days a week
Compensation: £120,000-£140,000 + Benefits + Equity Options
Partnering with a growing fintech business who are on the lookout for a Lead Data Scientist to build out their data science practice from the ground up.
As the Lead Data Scientist, you will play a pivotal role in driving innovation and optimisation across credit scoring, fraud prevention, collections, and customer engagement strategies. Your expertise will shape the data-driven decision-making framework for this business as a lending platform.
Key Responsibilities
* Build and Innovate: Lead efforts to develop a state-of-the-art lending platform, enhancing customer experience and operational efficiency.
* Credit Optimisation: Analyse and implement strategies to increase acceptance rates while maintaining strong performance metrics.
* Fraud Prevention: Develop robust frameworks to reduce fraud risk using the latest techniques and tools.
* Decision Engine Design: Proactively recommend and design changes to improve all aspects of our decision engine.
* Collections Strategy: Own and optimise the collections strategy to improve debt recovery and customer engagement.
* Testing Frameworks: Create and implement frameworks for ongoing performance testing and monitoring.
Experience required
* 5+ years of experience working in the analytics/data science space - must be within a relevant financial business.
* Bachelor’s or higher in a STEM subject.
* Experience in fraud prevention and risk management.
* Proven ability to prepare data-driven materials and insights for senior stakeholders.
* Good Python programming.
If you are interested please apply here.