Senior Credit Risk Data Scientist
Draper, Utah, United States
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BILL
The AP, AR, and spend & expense solution that lets you create and pay bills, manage expenses, control budgets, and get the credit your business/firm needs to grow.Innovate with purpose
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At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businessesāfrom startups to established brandsāmake smarter decisions and gain control of their operations. And we donāt stop there: weāre creating the future of financial automation so businesses can spend more time on what matters.
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Working here means you become part of a vision-driven team thatās ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosityāand 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.
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At BILL, we listen, learn, and leadāfostering collaboration and a drive for continuous growth. Weāre committed to building a diverse and inclusive workplace that values each personās unique skills and experiences. Even if you donāt meet every requirement, weād love to hear from youāyou might be just what weāre looking for, whether in this role or another.
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⨠Letās give businesses more time for what matters.
Make your impact within a rapidly growing Fintech Company
We are looking for a detail oriented, enthusiastic and dedicated Senior Risk Data Scientist to join Billās Risk Data Innovation team with a focus on Credit risk. The incumbent will be working on data science projects related to key risk department initiatives. The data scientist will own key projects associated with predictive modeling for underwriting, credit assessments and credit loss mitigation to support existing and new payment products. This individual will also design experiments to understand the impact of customer experience when leveraging machine learning in complex risk strategy changes. This position requires a person who has experience with developing machine learning models and performing advanced analytics preferably in the risk domain and also partnering with cross functional stakeholders.
Weād love to chat if you have:
- Minimum 4 years of credit industry experience in data science and machine learning, preferably in risk, payments or financial services domain.
- An advanced degree (M.S., PhD.) with 4+ years of working experience OR a Bachelorās degree with 5+ years of experience, preferably in Statistics, Physical Sciences, Computer Science, Economics, Mathematics, or a related technical field
- Strong track record of performing data analysis and statistical modeling using Python, SQL or similar tools
- Mastery of a wide range of Machine Learning techniques, tools, and methodologies with a demonstrated capability to apply them to a broad range of business problems and data sources
- Machine learning techniques include clustering, classification, regression, decision trees, neural nets, anomaly detection etc.
- Ability to clearly communicate complex results to technical experts, business partners, and executives
- Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses and action-oriented outcomes
- Experience solving problems related to risk using data science and analytics
- Experience working with cross functional teams including product, engineering and operations and leading organization-wide initiatives spanning multiple team
- Ability to proactively find the pain points in the current process flows and make business suggestions that are sustainable and able to have long term impact by leveraging strategic thinking, and independently provide solutions to business problems with the solid technical skills and problem solving skills
The estimated base salary range for this role is noted below for our office location in Draper, UT. Additionally, this role is eligible to participate in BILLās bonus and equity plan. 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.
Draper UT pay range$107,800ā$129,100 USDWhatās in it for you?Ā
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 isnāt only experienced by our customers, but by our employees as well.Ā
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 accountsĀ
- Life Insurance, Long & Short-term disability coverage
- Employee Assistance Program (EAP)
- 11+ Observed holidays and wellness days and flexible time offĀ
- Employee Stock Purchase Program with employee discounts
- Wellness & Fitness initiatives
- Employee recognition and referral programs
- And much more
Donāt 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.
Tags: Classification Clustering Computer Science Credit risk CX Data analysis Economics Engineering FinTech Machine Learning Mathematics ML models PhD Predictive modeling Privacy Python SQL Statistical modeling Statistics
Perks/benefits: Career development Competitive pay Equity / stock options Fitness / gym Flex hours Flexible spending account Flex vacation Health care Insurance Salary bonus Wellness
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