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Senior Machine Learning Engineer - Risk/Fraud

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

California (USA), United States

Offer summary

Qualifications:

5+ years experience in Data Science or ML Engineering, Graduate degree in a technical field, Proficiency in SQL and Python, Ability to communicate with diverse audiences, Experience developing machine learning models.

Key responsabilities:

Design, develop, and deploy machine learning models
Lead technical efforts in Risk and Fraud area
Utilize SQL for data manipulation
Write production-grade code for solutions
Partner with Operations Team for quick responses

Step Financial Services Scaleup https://www.step.com/

51 - 200 Employees

See more Step offers

Job description

Your missions

Gen Z is the generation of the side hustle. 💪🏻 They’re creators. 👩‍🎤 They’re freelancers. 🧑‍💻 They’re investors. 👩‍💼 And they’re not afraid to take on challenges, especially when it comes to their finances - and we’re here for it.

Step is a next-generation financial services company building a better banking experience to help teens and young adults achieve financial independence and knowledge at an earlier age. We’re on a mission to improve the financial future of the next generation by empowering teens to start their financial journey today. Step is a well-funded Series C company that has raised more than $175M, focused on disrupting the banking industry through a differentiated mobile-first consumer experience.

Teens and families love our product. We eclipsed 1 million customers in just four months after launch and have now crossed 4 million customers. If you’re looking to join a fast-growing company with a strong mission and vision that puts people first, we want to meet you!

The role

Step is looking for an experienced Machine Learning Engineer to build and deploy Machine Learning models for all things Risk and Fraud.

What you’ll do

Build and Deploy ML Models: You’ll design, develop, and deploy machine learning models to enhance our Risk and Fraud detection systems. These models protect Step and our customers from fraud and financial loss.
Lead Technical Efforts: You’ll take the lead in the Risk/Fraud area, providing technical direction and helping shape team’s strategy.
Data Manipulation: You’ll use SQL to efficiently fetch, transform, and manipulate data, ensuring it’s ready for model development.
Code Development: You’ll write production-grade code to deliver robust machine learning solutions.
Design Experiments: You’ll apply statistics to guide experiments, determine appropriate sample sizes, and evaluate model performance.
Cross-Function Partnership: Partner with Operations Team to quickly respond to rapidly evolving events.

What we’re looking for

5+ years 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, but not required, in working in financial systems, including lending or risk/fraud.