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Risk 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 By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations.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. 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.

 

At BILL, we listen, learn, and lead—fostering collaboration and a drive for continuous growth. We’re committed to building a diverse and inclusive workplace that values each person’s unique skills and experiences. Even if you don’t meet every requirement, 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 2+ 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.
  • 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. 

#LI

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 that values diversity and inclusion. 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 interviewaccommodations@hq.bill.com.

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

Average salary estimate

$110000 / YEARLY (est.)
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$90000K
$130000K

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What You Should Know About Risk Strategy Data Scientist, BILL

Join BILL as a Risk Strategy Data Scientist and embark on a journey of innovation in the financial automation space! At BILL, based in San Jose, California, we are dedicated to empowering businesses by transforming outdated financial processes into streamlined, efficient solutions. As part of our Fraud Risk Strategy team, you'll play a crucial role in leading projects related to fraud detection, risk analysis, and loss mitigation. Your experience in analytics and predictive algorithms will shine as you refine risk strategies and develop cutting-edge solutions. Imagine collaborating with talented teams from Product Management to Engineering, tackling complex analytical challenges while directly contributing to high-impact business goals. Here at BILL, we foster an inclusive environment that values curiosity, drive, and purpose. You’ll have the opportunity to make a real difference, leveraging your expertise in SQL and Python to influence decision-making and optimize risk strategies. Plus, enjoy the perks of a diverse workplace that supports your career growth and offers a solid benefits package, including health plans, flexible time off, wellness initiatives, and an Employee Stock Purchase Program. So if you’re ready to make your impact in a rapidly growing Fintech company, we’d love to hear from you—even if you don’t meet every requirement listed. Join us and help businesses reclaim their time for what truly matters.

Frequently Asked Questions (FAQs) for Risk Strategy Data Scientist Role at BILL
What qualifications are needed for the Risk Strategy Data Scientist position at BILL?

To thrive as a Risk Strategy Data Scientist at BILL, candidates should possess a minimum of 2+ years of end-to-end fraud risk control strategy experience, particularly within eCommerce or online payments. Proficiency in data science and analytics, along with the ability to develop predictive algorithms, is crucial. Experience collaborating with cross-functional teams will also enhance a candidate's fit for this exciting role.

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What are the responsibilities of a Risk Strategy Data Scientist at BILL?

As a Risk Strategy Data Scientist at BILL, you will lead projects focused on fraud detection and risk analysis. Key responsibilities include developing and refining risk strategy frameworks, implementing data-driven monitoring rules, and utilizing advanced analytics to optimize strategies. You’ll also partner with product and engineering teams to enhance risk signal capture and treatments.

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How does BILL support professional growth for Risk Strategy Data Scientists?

BILL is committed to the professional growth of its Risk Strategy Data Scientists by fostering a culture of mentorship and continuous learning. You'll have the opportunity to collaborate closely with diverse teams and will be encouraged to pursue further education in analytics, risk strategy development, and project management to keep your skills sharp.

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What tools and technologies are used by Risk Strategy Data Scientists at BILL?

Risk Strategy Data Scientists at BILL utilize a variety of tools, such as SQL and Python for data analysis, along with visualization tools like Tableau. These technologies enable effective monitoring, diagnostic analytics, and help craft actionable insights from complex datasets.

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What kind of projects would a Risk Strategy Data Scientist work on at BILL?

In the role of Risk Strategy Data Scientist at BILL, you will engage in projects aimed at enhancing fraud detection and formulating effective risk strategies. These projects involve analyzing data trends, developing predictive algorithms to identify and respond to potential risks, and creating performance dashboards to track the success of implemented strategies.

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Can you explain the company culture at BILL for Risk Strategy Data Scientists?

BILL promotes a dynamic and inclusive culture, where collaboration and innovation are highly valued. As a Risk Strategy Data Scientist, you'll work in a fast-paced environment, surrounded by supportive colleagues who encourage open dialogue and respect diverse perspectives, making it a great place to thrive professionally.

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What benefits can Risk Strategy Data Scientists expect when joining BILL?

Risk Strategy Data Scientists at BILL enjoy an impressive benefits package that includes 100% paid health, dental, and vision plans, flexible time off, an Employee Stock Purchase Program, wellness initiatives, and a supportive work-life balance. These offerings reflect BILL's commitment to ensuring employees have a fulfilling and healthy workplace experience.

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Common Interview Questions for Risk Strategy Data Scientist
What methodologies do you use for fraud detection in your analytics?

When answering this question, demonstrate your knowledge of methodologies such as machine learning, decision trees, and predictive algorithms. Elaborate on specific project examples where you applied these methodologies to successfully detect fraud patterns. Highlight data sources and analytics tools used, illustrating your technical expertise.

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Can you describe a time when you implemented a risk strategy? What was the outcome?

Provide a structured response using the STAR method (Situation, Task, Action, Result). Share a project where you identified a risk, the strategy you designed, the analytics involved, and the measurable outcome that resulted, such as reduced fraud cases or improved detection rates.

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How do you stay updated on trends in fraud detection and risk strategy?

Discuss your commitment to continuous learning by mentioning reputable resources such as industry journals, webinars, and professional networks. Mention how you apply newly acquired knowledge to your work, thus demonstrating your proactive approach to staying informed.

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How do you collaborate with cross-functional teams in your role?

Highlight your communication and teamwork skills by providing examples of how you effectively work with product managers, engineers, and business stakeholders. Illustrate how you ensure alignment on goals and facilitate discussions around strategy development.

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What tools have you used to develop performance dashboards?

Be specific about your experience using tools like Tableau, Power BI, or similar data visualization platforms. Explain how you design dashboards that cater to different audiences and how these visuals help in decision-making processes.

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Describe your experience with SQL or Python for data analysis?

Outline your proficiency in SQL and Python by providing specific examples of how you've used these programming languages to extract insights from complex datasets. Discuss the types of projects you've completed and the outcomes achieved through your analytical skills.

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How do you measure the effectiveness of control strategies?

Explain the KPIs you use to measure success, such as detection rates or false positive ratios. Share how you utilize data analytics to make data-driven adjustments to control strategies based on performance metrics.

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What challenges have you faced in fraud risk analysis, and how did you overcome them?

Identify a specific challenge you've encountered, such as a data hunch that proved incorrect or difficulty in stakeholder alignment. Describe the actions you took to address the challenge, emphasizing your problem-solving skills and the outcomes of your efforts.

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Can you provide an example of how you used analytics to influence a business decision?

Choose an effective case where your analysis directly impacted decision-making. Detail the data you presented, how you communicated it, and what changes resulted from your findings, showcasing your analytical skills influencing real business outcomes.

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What role do you believe data governance plays in fraud strategy?

Discuss the critical nature of data governance in ensuring data integrity and accuracy in fraud detection processes. Describe how strong data governance supports the success of your risk control strategies and promotes trust among stakeholders.

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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 flourish. Hundreds of thousands of businesses trust BILL solut...

51 jobs
MATCH
VIEW MATCH
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$90,000/yr - $130,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
November 24, 2024

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