BILL is looking to solve fraud detection, risk analysis, and loss mitigation challenges within their financial automation platform by developing and refining risk strategies and predictive algorithms.
Requirements
- Minimum 3+ years of experience in end to end fraud risk control strategy experience within relevant industry experience in eCommerce, or online payments, leveraging data science/analytics to solve complex business problems.
- Achieved ambitious business goals through design, creation, and execution of control strategies through direct work (complex analytical rule development, maintenance, etc) and in collaboration with Product Managers, Engineers, and Business Stakeholders.
- Developed, maintained, and refined risk strategy frameworks for a domain to keep model strategy up to date with high performance with the goal of delivering on KPIs.
- Built and deployed data driven and automated monitoring rules to detect and quickly respond to evolving risk trends.
- Partnered with product/engineering on product/customer touchpoints for risk signal capture and treatments from strategies.
- Utilized advanced analytics techniques to significantly contribute to the refinement of end to end control strategies, including experience in building complex SQL/Python scripts with minimal guidance to solve ambiguous problems.
- Expertise with interpreting results and using data findings to influence decision making.
Responsibilities
- Leading key projects associated with fraud detection, risk analysis and loss mitigation at Bill.com.
- Performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain.
- Design, creation, and execution of control strategies through direct work (complex analytical rule development, maintenance, etc) and in collaboration with Product Managers, Engineers, and Business Stakeholders.
- Developed, maintained, and refined risk strategy frameworks for a domain to keep model strategy up to date with high performance with the goal of delivering on KPIs.
- Built and deployed data driven and automated monitoring rules to detect and quickly respond to evolving risk trends.
- Partnered with product/engineering on product/customer touchpoints for risk signal capture and treatments from strategies.
- Utilized advanced analytics techniques to significantly contribute to the refinement of end to end control strategies, including experience in building complex SQL/Python scripts with minimal guidance to solve ambiguous problems.
Other
- Minimum 3+ years of experience in end to end fraud risk control strategy experience within relevant industry experience in eCommerce, or online payments, leveraging data science/analytics to solve complex business problems.
- Achieved ambitious business goals through design, creation, and execution of control strategies through direct work (complex analytical rule development, maintenance, etc) and in collaboration with Product Managers, Engineers, and Business Stakeholders.
- Experience in project leadership, partnering and collaborating with cross functional teams including modeling, product/engineering, operations to effectively design strategies across the lifecycle at multiple touchpoints.
- Establishing business requirements, shared KPIs, guiding execution, and performing validation/maintenance.
- Experience influencing cross functional team approaches.
- Mentorship and support of junior team members to achieve goals.
- Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.
