Fraud Strategy Data Scientist

Posted Yesterday
Be an Early Applicant
San Jose, CA, USA
In-Office
113K-135K Annually
Mid level
Fintech • Software
The Role
Leads fraud detection, risk analysis, loss mitigation, and fraud strategy development. Builds analytical rules, predictive algorithms, monitoring dashboards, and automated controls using SQL, Python, Tableau, and AI tools. Partners with product, engineering, modeling, and operations teams to define requirements, validate strategies, optimize fraud KPIs, and manage deployments. The role also involves experimental design, governance, onboarding fraud typologies, and mentoring junior team members.
Summary Generated by Built In

Innovate with purpose

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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. And we don’t stop there: we’re creating the future of financial automation so businesses can spend more time on what matters.

Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. We're remote-first, with office spaces in San Jose, CA and Draper, UT — and opportunities to connect in person when it counts. BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks.

BILL builds high performing teams and we seek to hire the best talent for every role. We're committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person’s unique skills and experiences. We’d love to hear from you—you might be just what we’re looking for, whether in this role or another.

✨ Let’s give businesses more time for what matters.


Make your impact within a rapidly growing Fintech Company 

We are looking for a talented, enthusiastic and dedicated person to join BILL’s Fraud Risk Strategy team. The incumbent will be responsible for leading key projects associated with fraud detection, risk analysis and loss mitigation at Bill.com. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain.

We’d love to chat if you have:

  • 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. 
  • Developed flexible performance dashboards and monitoring that drill to the right level of granularity to fit the audience, business needs; covering the breadth of control strategy . Hands on experience wrangling complex data in tools (ie. Tableau) with the focus to perform monitoring, diagnostic analytics, and share actionable stories with data.
  • Applied advanced knowledge of data, metrics, profiles/typologies and key indicators in the financial fraud risk domain. Demonstrated ability to find and recommend additional enhancements within data features, data enrichment, score recalibration for existing strategies and processes. Identify and execute new model/rules/product opportunities in order to optimize processes aligning with the business goals. 
  • 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.
  • Experience applying AI to accelerate data science work by designing prompts, rigorously evaluating outputs, and integrating LLMs through APIs into notebooks and automated pipelines.
  • Experience in experimental design, fraud typologies that involve onboarding fraud/abuse, and data/control governance, including proposal development, user acceptance definition, pre/post implementation validation, and approval workflows to ensure high quality deployments.

Visa Sponsorship: Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

The estimated salary  range for this role is noted below for our San Jose based role.  Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits.

San Jose pay range
$112,700$135,000 USD

Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed below. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits. The estimated salary  ranges noted below roles in the specific  geographic zones

Zone 1: San Francisco Bay Area CA (includes HQ), New York City, Seattle, Los Angeles County
$112,700$135,000 USD
Zone 2: CA (Non San Francisco Bay Area and Los Angeles County), Austin TX, Massachusetts
$101,400$121,500 USD
Zone 3: Utah (includes Utah office), Dallas TX, Houston TX, Florida, North Carolina, Illinois, Colorado, Arizona, Georgia, Oregon, Pennsylvania
$95,800$114,800 USD

What’s in it for you? 

Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn’t only experienced by our customers, but by our employees as well. 

Here is a preview of some of the amazing benefits here at BILL:

  • 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

Don’t believe us? Check out our culture, benefits, and teams on our career site, LinkedIn Life, or YouTube pages.

BILL is an Equal Opportunity Employer. We believe our best ideas come from the unique stories, perspectives, and experiences of our team members. We welcome people of all backgrounds, abilities, and identities to bring their authentic selves and contribute to our culture.

We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact [email protected]. To ensure a fair evaluation, our Candidate Integrity Policy prohibits the use of unapproved external assistance, including generative AI, during live interviews or assessments. Doing so will result in a review and potential disqualification.

Our Applicant Privacy Notice describes how BILL treats the personal information it receives from applicants.

Skills Required

  • 3+ years of end-to-end fraud risk control strategy experience in eCommerce, online payments, or a relevant industry
  • Experience designing, creating, executing, maintaining, and refining fraud control strategies and analytical rules
  • Experience developing risk strategy frameworks, automated monitoring rules, and risk signal capture or treatment strategies
  • Advanced analytics experience, including complex SQL and Python scripting with minimal guidance
  • Ability to interpret analytical results and influence business decision-making
  • Experience developing performance dashboards and monitoring using tools such as Tableau
  • Advanced knowledge of financial fraud risk data, metrics, profiles, typologies, and key indicators
  • Experience improving data features, data enrichment, score recalibration, strategies, processes, models, rules, or products
  • Project leadership and cross-functional collaboration with modeling, product, engineering, and operations teams
  • Experience establishing business requirements, shared KPIs, execution guidance, validation, and strategy maintenance
  • Experience influencing cross-functional approaches and mentoring junior team members
  • Experience applying AI to data science work, including prompt design, output evaluation, and LLM integration through APIs
  • Experience with experimental design, onboarding fraud or abuse typologies, data and control governance, user acceptance definitions, validation, and approval workflows
  • Authorization to work in the United States without current or future visa sponsorship

BILL Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BILL and has not been reviewed or approved by BILL.

  • Healthcare Strength Day-one medical, dental, and vision coverage is employer-paid at high levels and paired with HSA contributions, disability coverage, and mental-health support. Family planning and fertility resources further strengthen the healthcare offering.
  • Equity Value & Accessibility New-hire RSUs, an employee stock purchase plan with a purchase discount, and annual bonus eligibility provide long-term value alongside base pay. A clear vesting schedule improves accessibility to equity over time.
  • Leave & Time Off Breadth Flexible time off, paid holidays, and dedicated volunteer days create broad leave options. Short periods of work-from-almost-anywhere add incremental flexibility to time away and location needs.

BILL Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Jose, CA
2,753 Employees

What We Do

BILL (NYSE: BILL) is a leader in financial automation software for small and midsize businesses (SMBs). As a champion of SMBs, we are dedicated to automating the future of finance so businesses can thrive. Hundreds of thousands of businesses trust BILL solutions to manage financial workflows, including payables, receivables, and spend and expense management. With BILL, businesses are connected to a network of millions of members, so they can pay or get paid faster. Through our automated solutions, we help SMBs simplify and control their finances, so they can confidently manage their businesses, and succeed on their terms. BILL is a trusted partner of leading U.S. financial institutions, accounting firms, and accounting software providers. BILL is headquartered in San Jose, California. For more information, visit bill.com.

Similar Jobs

JPMorganChase Logo JPMorganChase

Data Scientist

Financial Services
Hybrid
2 Locations
289097 Employees

Square Logo Square

Software Engineer

eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Remote or Hybrid
8 Locations
12000 Employees
185K-327K Annually

Wipfli Logo Wipfli

Tax Manager

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
2900 Employees
106K-160K Annually

Wipfli Logo Wipfli

Senior Manager, Accounting Advisory - Tribal Government Industry

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
2900 Employees
142K-195K Annually

Similar Companies Hiring

Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Marina Del Rey, California
60 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account