Senior Fraud Risk Data Scientist
San Jose, California, United States 

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 Bill’s Risk Data Innovation team with a focus on fraud 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 fraud detection, transaction risk modeling and fraud 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.



We’d love to chat if you have:

Minimum 4 years of fraud industry experience in data science and machine learning, preferably in risk, payments or financial services domain. 
It is preferred this person has an advanced degree (M.S., PhD.) with 4+ years of working experience or a Bachelor’s degree with 6+ 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 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

$126,900 - $151,800 USD