Risk Data Analyst

Make your impact within a rapidly growing Fintech Company

Join BILL as a Risk Data Analyst and help support how the Risk Management division executes at scale. The Risk Portfolio Management and Strategic Programs team sits at the intersection of risk strategy and operational execution, owning the programs, partnerships, and frameworks that enable BILL's risk organization to move quickly and with confidence. This team works directly with cross-functional partners to translate strategic priorities into measurable outcomes across credit risk, fraud risk, and reputational risk domains.

In this role, you will support program and vendor management coordination for the Risk organization, assist in building operating frameworks that reduce manual processes through AI tooling and automation, and manage individual project trackers focused on strategic execution. Your work will directly support BILL's ability to protect hundreds of thousands of SMBs who rely on our financial automation platform to manage cash flow, process payments, and run their operations every day.

Responsibilities:

• Program & Initiative Management: Own the development and execution of individual strategic portfolio plans, applying statistical and analytical techniques to project data to surface performance patterns and early risk indicators from scoping through completion.
• Process Automation & AI Integration: Formulate and maintain operating frameworks that support risk strategic initiatives. Experiment with and deploy automation and AI-assisted tools (e.g., workflow integrations, LLM copilots) to reduce manual workflows and improve team efficiency.
• Insightful Visualization: Design high-quality, advanced dashboards in Tableau, AWS QuickSight, or other visual tools. Utilize compelling visuals, graphs, and narration techniques tailored to multi-level audiences to drive insights for project sponsors and leadership.
• Vendor & ROI Ownership: Manage third-party vendor relationships, including tracking performance metrics, conducting ongoing evaluations, monitoring ROI, and overseeing budget lines to ensure vendors deliver measurable value to risk programs.
• Cross-Functional Alignment & Conflict Resolution: Drive alignment across risk initiatives by maintaining project trackers, defining clear timelines, and communicating recommendations to cross-functional stakeholders (Strategy, Product Management, and Engineering).
• Data-Driven Control Design: Partner closely with risk analysts and data scientists to formulate control strategy recommendations based on data and research. Develop the ability to think with a strategic horizon, weighing short- and medium-term strategy trade-offs.
• Governance & Documentation: Oversee governance and audit documentation processes within the Risk division, ensuring programs and vendor/audit items are rigorously tracked, logged, and reported based on performance data.

We’d love to chat if you have:

• Experience: Minimum of 2 years of experience in risk management, portfolio analytics, program management, or a related field within financial services, ecommerce, or fintech.
• Project Ownership: Demonstrated experience managing medium-scale, cross-functional programs or workstreams with autonomy over deliverables, tracking, and timelines.
• Vendor Management: Hands-on experience managing third-party vendor relationships, including tracking performance measurement, logging audit requirements, and reviewing ROI.
• Risk Domain Knowledge: Strong working knowledge of payment products and risk management principles across credit, fraud, or reputational risk domains.
• Influential Communication: Ability to distill complex data insights and risk analysis into clear, actionable recommendations and structured presentations for multi-level audiences.

Desired Qualifications:

• AI & Automation Toolkit: Experience evaluating or deploying AI and automation tooling (e.g., Claude, Gemini, GitHub Copilot, GitLab Duo or LLM-powered assistants) to optimize risk or operations functions.
• Technical Acumen: Proficiency in SQL, Python, or R, with a proven ability to write queries and independently collect data requirements to support portfolio analysis.
• Process Optimization: Lean Six Sigma Green Belt certification or similar continuous improvement framework experience is highly advantageous.
• Education: Bachelor’s or Master’s degree in Business Administration, Finance, Computer Science, Economics, Mathematics, or a related field.