Fraud Strategy Data Scientist

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 By replacing outdated financial processes with innovative tools we help businessesfrom startups to established brandsmake smarter decisions and gain control of their operations. And we dont stop there : were 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 thats ready to tackle challenges and build cutting-edge solutions. We value purpose drive and curiosityand we thrive in a fast-paced ever-changing environment. Whether in one of our offices in San Jose CA Draper UT or working remotely 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. Were committed to building a workplace that fosters inclusion and diverse perspectives valuing each persons unique skills and experiences. Wed love to hear from youyou might be just what were looking for whether in this role or another.

Lets 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 BILLs Fraud Risk Strategy team. The incumbent will be responsible for leading key projects associated with fraud detection risk analysis and loss mitigation at . This position requires a person who has experience with performing analytics refining risk strategies and developing predictive algorithms preferably in the risk domain.

Wed 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.
• Nice to have : Experience applying AI to accelerate data science work by designing prompts rigorously evaluating outputs and integrating LLMs through APIs into notebooks and automated pipelines.
• Bonus : 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

$110200 $132100 USD

Whats 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 isnt only experienced by our customers but by our employees as well.

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

Dont 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 .

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

Key Skills

Electrical,Academics,Customer Service,Computer Data Entry,Cardiac Surgery,Freight Forwarding

Employment Type : Full Time

Experience : years

Vacancy : 1