Manager, Risk Data Scientist

Make your impact within a rapidly growing Fintech Company

We are looking for a talented, enthusiastic and dedicated Manager to join and lead Bill’s Card Compromise Fraud Risk team. The incumbent will be working on fraud strategy projects, managing data scientists, leading the collaboration between the Card Compromise Fraud Risk and Cross Functional teams related to key fraud risk department initiatives. The Manager will take the ownership of key end-to-end strategy associated with real-time fraud detection, transaction risk monitoring, etc. to support new and existing BILL Card products. This individual will also design experiments to understand the impact of customer experience when leveraging machine learning in complex risk strategy changes. This position requires a person who has experience with developing and implementing real-time fraud detection strategy and performing advanced analytics preferably in the risk domain and managing teams of data scientists.

We’d love to chat if you have:

• Minimum 6 years of total industry experience (incl. 2+ years in a people managerial position) in risk management within the Fintech or financial services industries with an emphasis on fraud risks 
• Bachelor's degree (advanced degree (M.S., PhD.) desirable), preferably in Statistics, Physical Sciences, Computer Science, Economics, Mathematics, or a related technical field
• Strong knowledge of the fundamentals of risk strategy such as fraud detection and prevention, balancing customer experience against rising fraud threats, using data to draw insights for risk mitigation
• Extensive knowledge and experience with defining, developing, and deploying risk management methodologies
• Strong track record of performing data analysis and statistical modeling using Python, SQL or similar tools
• Machine learning techniques include clustering, classification, regression, decision trees, neural nets, anomaly detection etc.
• Ability to clearly communicate complex results to technical experts, business partners, and executives
• Expertise in driving operational efficiencies and scale through ongoing policy and model optimization
• Experience in managing and nurturing data scientists effectively
• Experience working with cross functional teams including product, engineering and operations and leading organization-wide initiatives spanning multiple team
• The ability to drive and influence cross functional teams on key projects, establish priorities while aligning with the business goals and vision 
• Strong analytical abilities. Familiarity with typical transaction data, systems & technologies is highly valuable

Must Haves:

• Card Compromise, Payment Fraud domain knowledge
• Problem solving / Decision making
• Management experience
• Out-of-the-box thinking with an ability to be highly flexible
• Highly analytical, ability to use logical reasoning and draw conclusions from insights

Visa Sponsorship:  Please note that this position is not eligible for visa sponsorship. Applicants must hav