Senior Machine Learning Engineer - Risk/Fraud
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About The Position
Step is seeking an experienced Machine Learning Engineer to join our team and play a crucial role in building and deploying machine learning models focused on Risk and Fraud detection. In this position, you will be responsible for designing, developing, and deploying machine learning models that enhance our systems to protect both Step and our customers from fraud and financial loss. You will lead technical efforts in the Risk and Fraud area, providing direction and shaping the team's strategy to ensure we stay ahead of potential threats. Your role will involve significant data manipulation, where you will utilize SQL to efficiently fetch, transform, and prepare data for model development. You will also be expected to write production-grade code that delivers robust machine learning solutions. Additionally, you will design experiments using statistical methods to guide your work, determine appropriate sample sizes, and evaluate the performance of the models you develop. Collaboration is key in this role, as you will partner with the Operations Team to respond quickly to rapidly evolving events in the financial landscape. At Step, we are committed to improving the financial future of the next generation by empowering teens to start their financial journey today. As a well-funded Series C company, we have raised over $175M and have successfully attracted over 4 million customers in a short span. If you are looking to join a fast-growing company with a strong mission and vision that prioritizes people, we want to meet you!
