Onboarding Strategy Data Scientist - Credit

Build your career with purpose. Be a champion for small and mid-size businesses.

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. We have operations in San Jose, CA, Draper, UT, Houston, TX and Sydney, AUS and are continuing to expand into other geographic locations. If you’re looking for a place that helps you do the best work of your career, look no further than BILL.

This position is based in Draper, UT. 

Make your impact within a rapidly growing Fintech Company

We are looking for a talented, enthusiastic and dedicated person to join BILL’s Risk Strategy team. This role will report to the Senior Director/Director, Risk Strategy and will work closely with cross functional teams to formulate credit risk management strategies and controls for payments across different channels. As a Data Scientist, you'll be an integral part of a team of problem solvers, helping to solve complex business issues from strategy to execution. This is an excellent opportunity for someone looking to pursue a career in credit risk management. 

Key Responsibilities:

• Develop and optimize charge card, payment channels (A/R, A/P), working capital (invoice financing, buy now pay later) risk strategies to balance credit losses and revenue growth.
• Analyze large data sets and explore new data points to identify actionable opportunities for emerging credit trends.
• Create and implement credit strategy/policy for the given set of products. End-to-end ownership of the credit policies with governance of stakeholders including compliance, legal, enterprise risk management and C-level leaders.
• Create, maintain and monitor reports and dashboards, using all appropriate quantitative methods to provide risk related insights and recommendations.
• Respond to escalations and conduct root cause analysis, team up with cross functional teams to design and implement effective solutions in time.
• Utilize statistical and quantitative techniques to extract actionable insights that can inform credit strategies.
• Identify portfolio strengths, weaknesses, and areas for optimization in terms of credit onboarding strategies.
• Monitor and track key performance indicators (KPIs) related to credit onboarding, such as delinquency rates, recovery rates, roll rates, and aging reports.
• Generate regular performance reports and dashboards, identifying trends and variances for management review.
• Collaborate with the Data Modeling team to build and enhance  predictive models using historical data to forecast customer behavior, estimate default rates, and predict potential loss amounts.
• Propose enhancements to workflows and systems to facilitate a more data-centric approach to onboarding.
• Ensure data accuracy and completeness for all credit-related datasets, collaborating with data management teams as needed.
• Perform data quality checks and implement data cleansing processes to maintain high-quality data for analysis.
• Document analytical methodologies, findings, and insights in a clear and organized manner for reference and reporting purposes.
• Adhere to industry regulations and organizational policies related to credit and onboarding, ensuring ethical data usage and compliance with legal standards.
• Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven credit risk solutions that operate at scale and in real time for end customers.
• Communicate effectively with team members, stakeholders, and management, ensuring clarity and understanding of data-driven recommendations.

We’d love to chat if you have:

• Bachelor’s Degree in Mathematics, Economics, Computer Science, Information Management, Statistics or similar field.
• 2+ years experience and possess domain knowledge in credit risk. Familiarity with typical underwriting strategies (traditional and non-traditional credit products), credit card authorization data and systems is highly valuable.
• Adept at SQL queries, Python, Excel and Tableau. Experience with analyzing large data sets is a plus.
• Collaborate with cross functional teams to prioritize, implement and optimize risk mitigation policies and controls.
• Excellent organizational skills - must possess ability to prioritize and balance multiple tasks simultaneously.
• Experience with or interest in data models, data mining and segmentation techniques.
• Proven ability to achieve results in a highly matrixed global organization.
• Ability to influence where you do not have direct authority through strong communication skills.

Let’s talk about benefits

• 100% paid 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