Artificial Intelligence Engineer for Risk and Fraud Prevention
2 weeks ago
S.T.E.P. is a next-generation financial services company that aims to improve the financial future of the next generation by empowering teens to start their financial journey today. With over 5.5 million customers, we are committed to building a better banking experience that helps young adults achieve financial independence and knowledge at an earlier age.
Job Description\
We are seeking an experienced Senior Machine Learning Engineer to join our team and contribute to building and deploying machine learning models for risk and fraud detection systems. As a key member of our team, you will design, develop, and deploy machine learning models to protect Step and our customers from fraud and financial loss.
Responsibilities\
- \
- Design, develop, and deploy machine learning models to enhance risk and fraud detection systems.\
- Take the lead in the risk/fraud area, providing technical direction and helping shape team strategy.\
- Use SQL to efficiently fetch, transform, and manipulate data for model development.\
- Write production-grade code to deliver robust machine learning solutions.\
- Apply statistics to guide experiments, determine appropriate sample sizes, and evaluate model performance.\
- Partner with operations teams to quickly respond to rapidly evolving events.\
- Requirements\
To be successful in this role, you will need:
\- \
- 5+ years of experience in data science or ML engineering.\
- A graduate degree in statistics, economics, applied mathematics, computer science, physical sciences, or a similar technical field.\
- Proficiency in SQL and Python.\
- Ability to communicate clearly with both technical and non-technical audiences.\
- Excellent data analysis skills.\
- Experience developing and deploying machine learning models.\
- Experience in working in financial systems, including lending or risk/fraud (not required).\
- What We Offer\
We offer a competitive salary based on experience, with full medical and dental benefits. You will also have high potential for growth, stock in an early-stage startup, flexible WFH and vacation policy, paid parental leave, employee referral program, and a 401K plan.
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