At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. BILL builds high performing teams and we seek to hire the best talent for every role.
Senior Manager, Risk Strategy Data Scientist
Location
United States
Posted
1 day ago
Salary
$161.8K - $238.1K / year
Seniority
Lead
Job Description
Senior Manager, Risk Strategy Data Scientist
BILL
Role Description We are looking for a talented, enthusiastic and dedicated person to join Bill.com’s Risk Strategy team. This role will report to the VP of Fraud Risk Strategy and will work closely with cross-functional teams to formulate fraud and credit risk management strategies and controls for payments across different channels. This person will be responsible for building and maintaining the risk strategies and collaborating with cross-functional teams to operationalize these risk strategies. This position requires a person who has experience with using data to inform insights, influence stakeholders on relative priorities, management, refining risk strategies and driving initiatives. Qualifications - 8 years of experience in risk management within the Fintech or financial services industries with an emphasis on fraud and credit risks and 3 - 5 years in management - Bachelor's degree; MS/MA/MBA degree preferred in Business, Economics, Finance, Analytics, Mathematics, or a related field - Strong knowledge of the fundamentals of risk strategy such as fraud detection and prevention - Adept at SQL queries, reporting and presenting findings; Proficiency in Excel and other visualization tools - Strong organization and time management skills and the ability to prioritize and manage multiple projects at once - Ability to collaborate effectively with Product Management, Engineering teams, Customer success and sales teams - Extensive knowledge and experience with defining, developing, and deploying risk management methodologies and models - Expertise in driving operational efficiencies and scale through ongoing policy and model optimization - Strong analytical abilities; familiarity with typical credit data, systems & technologies is highly valuable - Hands-on experience leveraging AI/ML tools to strengthen fraud strategy - Familiarity with AI-assisted analytics platforms (e.g., Python-based ML libraries, AutoML tools, or vendor AI solutions) - Demonstrated ability to evaluate and govern AI-generated outputs within a fraud risk context Requirements - Communicate and liaise effectively with the Compliance team and formulate the strategy for new product launches - Experience managing cross-functional, multi-stakeholder processes, communicating and influencing stakeholders at various levels across functional boundaries - Familiarity with AI-assisted analytics platforms Benefits - 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP) - HSA & FSA accounts - Life Insurance, Long & Short-term disability coverage - Employee Assistance Program (EAP) - 11+ Observed holidays and wellness days and flexible time off - Employee Stock Purchase Program with employee discounts - Wellness & Fitness initiatives - Employee recognition and referral programs - And much more
Related Guides
Related Categories
Related Job Pages
More Data Scientist Jobs
Marketing Analytics Lead
AlgomarketingEmpowering you through Algorithmic Marketing; delivering deeper insights, faster execution, and streamlined operations.
• Join a global enterprise SaaS organisation to help build and scale a data-driven marketing analytics capability. • Lead the development of standardised reporting, dashboards, and performance frameworks that provide a trusted view of marketing performance across regions, business units, and channels. • Drive the evolution from reactive reporting to proactive, insight-led analytics that supports executive decision-making. • Partner with cross-functional teams to improve reporting, data quality, governance, and self-service analytics capabilities. • Lead the development and delivery of executive dashboards, scorecards, and marketing performance reporting. • Ensure reporting is accurate, timely, standardised, and aligned to agreed KPIs. • Reduce manual reporting through automation, reusable reporting frameworks, and AI-enabled processes. • Support the development of a centralised analytics environment using Microsoft Fabric and Power BI. • Consolidate fragmented reporting into scalable, standardised dashboards and templates. • Develop and maintain a central marketing KPI and metrics dictionary. • Implement data validation processes and improve data quality across marketing systems. • Support data governance and standard tracking frameworks. • Enable self-service analytics by creating documentation, templates, and user training. • Analyse marketing performance trends and deliver actionable recommendations to stakeholders. • Provide insight across digital marketing, brand performance, and communications effectiveness. • Collaborate across global teams to establish consistent reporting standards and shared analytics capabilities.
Staff Data Scientist – Experimentation, Causal Inference
HighLevelThe all-in-one sales & marketing platform that agencies can white-label. CRM, Email, 2-way SMS, Funnel Builder, & more!
• Define the end-to-end methodology every team follows - hypothesis → metrics → design → power → readout → decision - and make it the default • Own the statistical approach (significance, multiple comparisons, sequential testing, variance reduction like CUPED) for small-sample, fast-paced contexts where classic A/B power is hard to reach • Build the methods toolkit for our clustered, hierarchical data (user → sub-account/location → agency), where randomization and analysis units differ • Apply rigorous causal inference (matching, diff-in-diff, instrumental variables, synthetic control, etc) when clean experiments aren't feasible - churn, onboarding, GTM - separating real signal from selection bias, seasonality, and mix effects • Own the design discipline for running many experiments at once - layering, orthogonal experiments, holdouts, and guardrails that keep concurrent tests from contaminating each other • Partner with AI/ML teams to design and evaluate experiments for AI features, including measurement for non-deterministic, fast-iterating systems • Run the experiment review forum and hold the line on what counts as a real result • Build the Experimentation curriculum and templates that level up PMs and analysts so good design scales beyond you • Partner with Analytics Engineering on governed, experiment-ready data and consistent metric definitions • Influence leadership and cross-functional partners on where to invest, translating statistical nuance into clear, decision-grade guidance
Data Science Manager, Credit
Moniepoint Inc. (Formerly TeamApt Inc.)Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month. As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually.
• Develop, test and productionize attribution and predictive algorithms by using state of the art machine learning algorithms and optimisation models • Contribute to one or more of the following areas: attribution modeling, CAC/mCAC modeling, LTV prediction, marketing mix modeling and multichannel attribution and testing • Design experiments and interpret the results to draw detailed and actionable conclusions • Work in cross-functional teams across disciplines such as product, engineering and business. • Develop, test and own our production marketing attribution models for better budgeting and increased marketing efficiency
Title: Plasma Diagnostics Scientist Locations: Woburn, MA Vancouver, Canada Madison, WI Knoxville, TN Department: Engineering hybrid Job Description: If you are searching for the best new ideas and share our vision, join us as a Plasma Diagnostics Scientist. This is what you need to know: Location: Knoxville TN, Madison WI, Boston MA ,Vancouver BC or Culham UK Salary: Highly Competitive Plus Benefits Contract: Permanent, full time Reporting to: Director of Electrical and Software Engineering Your role in the mission: Type One Energy is seeking a Scientist with experience in fusion plasma diagnostics to join its growing team. As a Scientist, you will be responsible for leading a subset of diagnostic systems to support scientific investigations on our advanced fusion stellarator including development, deployment and operation. Your expertise will be instrumental in driving progress and ensuring the successful operation of diagnostic systems critical to achieving our research and commercial goals. The ideal candidate will also give technical advice and otherwise contribute to other teams of Engineers and Scientists on similar projects throughout Type One Energy. Responsibilities - Lead the conceptualization, design, construction, and deployment of a subset of plasma diagnostics such as probes, magnetics, microwaves, infrared, spectroscopy, lasers, optical, x-ray, and/or neutronics systems to ensure they meet technical feasibility. - Develop and apply data analysis and models to set requirements for plasma diagnostics and other in-vessel stellarator systems - Participate in planning, execution, and analysis of experiments. - Mentor and provide guidance to junior scientists and engineers, fostering a collaborative and productive work environment. What you’ll need: - Ph.D. in Physics, Engineering, or a related field with a strong focus on plasma physics, fusion energy, and/or diagnostics. - Extensive experience in designing, developing, and operating advanced diagnostic systems for fusion or plasma physics experiments. - Strong knowledge of diagnostic techniques and instrumentation commonly used in plasma physics, such as spectroscopy. - Proficiency in data acquisition, analysis, and interpretation using scientific software and programming languages (e.g., Python, MATLAB). - Excellent problem-solving skills with the ability to troubleshoot and resolve technical issues related to diagnostic systems. - Strong communication and interpersonal skills to collaborate effectively with multidisciplinary teams, present findings to diverse audiences, and contribute to scientific publications and proposals. - Familiarity with safety protocols and procedures related to fusion experiments and diagnostics. - Knowledge of fusion stellarator concepts, including device physics and operational requirements, is highly desirable We offer: In addition to a basic salary and yearly bonus, you will also get… - A hybrid work policy - Stock options - Relocation allowance - Insurance plans - Retirement options - And many more great voluntary benefits Type One Energy applies proven advanced manufacturing methods, modern computational physics and high-field superconducting magnets to develop its optimized stellarator fusion energy system. Our FusionDirect development program pursues the lowest-risk, shortest-schedule path to a fusion power plant over the coming decade, using a partner-intensive and capital-efficient strategy. Type One Energy is committed to community engagement in the development and deployment of its clean energy technology. Equal Opportunity Statement Type One Energy is an equal opportunity employer. We value diversity, searching for the best new ideas and remaining open to unique perspectives. Therefore, all qualified applicants will receive consideration for employment independent of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristics protected by applicable federal, state, or local laws. All qualified individuals are encouraged to apply.


