Data Science Manager (Customer Risk)

London office x2 days per week

Up to £100,000

OVERVIEW

Gaming/ gambling company hiring for a Data Science Manager in their customer risk team,applicants must have experience in risk management/ customer risk and a strong understanding of building risk algorithms and products. You will be hands on-whilst also line managing a team of Data Scientists. Your responsibilities as a Data Science Manager in Customer Risk will include but not be limited to:

• Line managing a team of Data Scientists, demonstrating coaching, mentoring and development skills/
• Build ML risk algorithms and products, leveraging previous experience in this space.
• Lead the risk research roadmap & strategy for the team, whilst still being hands on with technical contributions and coaching the Data Science team.
• Engage with senior business stakeholders, contribute to high level technical decision-making within the wider Data Science, Quant and MLE team.

YOUR SKILLS & EXPERIENCE

A successful Data Science Manager (Customer Risk) will have the following)

• Minimum of BSc in STEM subject
• Proven experience building risk algorithms and products
• Strong understand of ML theory, statistical modelling, and ML risk algorithms.
• Understanding of ML Engineering, model deployment and cloud computing.
• Interesting and understanding of sports betting, customer risk and sports risk management.

HOW TO APPLY

Register your interest by sending your CV to or click the Apply Link!