Rocket Money
San Francisco
51-200 employees
We cancel forgotten subscriptions, negotiate your bills, and help you track your spending all in one place.
Other Open Roles
Prior Listings
- Growth Marketing Analyst
- Senior Data Analyst
- Senior Data Scientist
- Data Engineer, Analytics
- Analytics Engineer
- Strategy & Analytics Senior Analyst
- Senior Data Engineer, Infrastructure
- Analytics Engineer
- Senior Machine Learning Engineer
- Data Scientist
- Data Analyst
- Senior Data Engineer
- Manager, Machine Learning
- Machine Learning Platform Engineer
- Senior Machine Learning Engineer
- Staff Risk Data Analyst
- Senior Staff Risk Data Analyst
- Senior Machine Learning Engineer
- Senior Data Scientist
- Data Analyst, Product
Senior Staff Risk Data Analyst
Senior Staff Risk Data Analyst
This job is no longer open
About Bill.com
Bill.com, together with its wholly owned subsidiaries Divvy and Invoice2go, is focused on being the one stop shop that simplifies, digitizes, and automates complex financial operations for small and midsize businesses. Customers use the platform to manage end-to-end financial workflows and to process payments. The AI-enabled, financial software platform creates connections between businesses and their suppliers and clients. It helps manage cash inflows and outflow. The company partners with several of the largest U.S. financial institutions, the majority of the top 100 U.S. accounting firms, and popular accounting software providers. Bill.com has its headquarters in San Jose, California with offices in Houston, Texas, Draper, Utah, and Sydney, Australia.
Mission:
We are looking for a talented, enthusiastic and dedicated person to join Bill.com’s Data Science and Analytics team. The incumbent will be responsible for leading key projects to build our Dynamic Credit Assessment Platform. The newly built platform will support various risk initiatives including SMB credit need assessment, credit worthiness evaluation, credit risk detection and loss mitigation for Bill.com, Divvy and Invoice2go. This position requires a person who has experience with performing analytics, refining risk strategies and developing predictive algorithms preferably in the SMB credit risk domain.
Professional Experience/Background to be successful in this role:
- Minimum 8 years of industry experience in risk analytics, data analysis or data science
- An advanced degree (M.S., PhD.), preferably in Statistics, Physical Sciences, Computer Science, Economics, or a related technical field
- Experience using statistics and data science to solve complex business problems
- Proficiency in SQL, Python including key data science libraries
- Experience working with large datasets
- 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
- Desirable to have experience and aptitude solving problems related to risk using data science and analytics
- Bonus: experience with alternative data in credit and fraud risk assessment
Competencies (Attributes needed to be successful in this role):
- Functional/Technical Expertise
- Learning Abilities/Tech Savvy
- Excellent Communication
- Team Player Attitude
Expected Outcomes in 3, 6, or 12 months:
- Build comprehensive customer credit profile to evaluate SMB credit risk using internal and external data sources
- Build and productionalize credit risk detection algorithms by utilizing advanced statistical modeling, data science, or other data mining techniques
- Utilize advanced analytics to build strategies that can address credit expansion, customer friction and operations efficiency
- Continuously evolve the strategies and models to improve the credit product performance and profitability
- Analyze diverse sources of data(alternative data) to achieve targeted outcomes related to risk detection and probability of default
- Identify and evaluate new data sources to build effective risk controls with minimal user fiction
- Provide on-going tracking and monitoring of decision systems and statistical models
- Work with product and engineering team to evangelize data best practices and design/implement new analytical systems/frameworks
- Design and measure A/B tests to optimize existing credit and fraud strategies
- Evaluate credit risk exposure and design risk strategy for new product offerings
Bill.com is committed to a policy of equal employment opportunity. We recruit, employ, train, compensate, and promote without regard to race, color, age, sex, ancestry, marital status, religion, national origin, disability, sexual orientation, veteran status, present or past history of mental disability, genetic information or any other classification protected by state or federal law.
Bill.com Culture:
● Humble – No ego
● Fun – Celebrate the moments
● Authentic – We are who we are
● Passionate – Love what you do
● Dedicated – To each other and the customer
Our Applicant Privacy Notice describes how Bill.com treats the personal information it receives from applicants.
This job is no longer open