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BILL · 6 hours ago

Senior Credit Strategy Data Scientist

Draper, UT

Full-time

Hybrid

Senior Level

5+ years exp

BILL is a company that empowers businesses by replacing outdated financial processes with innovative tools. The Senior Credit Strategy Data Scientist will lead the development of risk strategy frameworks, utilize advanced analytics to solve complex problems, and collaborate with cross-functional teams to drive strategic execution.

AppsBillingFinancial ServicesFinTechSaaS

No H1B

Responsibilities

Lead the way: Drive the development, maintenance, and refinement of risk strategy frameworks and complex rules to achieve ambitious business goals

Be a data detective: Use advanced analytics and data science techniques to solve complex business problems. This includes building sophisticated SQL/Python scripts, interpreting results, and influencing decision-making with your findings

Collaborate and create: Partner with cross-functional teams, including product, engineering, and operations, to identify new opportunities, establish business requirements, and guide the execution of strategies across the customer lifecycle

Build powerful tools: Develop flexible performance dashboards and monitoring tools using platforms like Tableau to provide clear, actionable insights to a variety of audiences

Stay ahead of the curve: Identify and execute new opportunities to optimize processes and proactively detect and respond to evolving risk trends

Mentor and grow: Help mentor and support junior team members to help them achieve their goals

Qualification

SQLPythonData scienceFraud risk strategyData visualizationCommunication skillsMentoring

Required

Minimum of 5 years of experience in fraud or credit risk strategy within the fintech, e-commerce, or online payments industry

Proficiency in SQL and Python, with a strong ability to work with large, complex datasets and leverage data science libraries

Demonstrated ability to use statistics and data science to solve complex, ambiguous problems and drive data-driven decisions

Ability to clearly and concisely communicate complex results to both technical experts and business leaders

Direct experience with developing and deploying data-driven and automated monitoring rules, and the ability to find and recommend enhancements for existing processes