Principal Risk Engineer, ML system

Job Title :

• Principal Risk Engineer, ML system Position Type : Full time Location : Remote—Must reside within 30 miles of Portland, ME; Boston, MA; Chicago, IL; or San Francisco Bay Area, CA, Seattle, WA Salary Range :  Base $250,000 - $295, 000 (USD) Job ID# : 157423 Job Description : We are looking for a Principal Risk Engineer with deep technical expertise in large-scale systems, data, and machine learning.
• You will lead the design, development, and deployment of our Risk Platform, ensuring reliability, performance, and flexibility to meet complex risk and compliance needs.
• This role requires strong problem-solving ability, hands-on technical depth, and proven leadership experience in building and guiding high-performing engineering teams.
• Responsibilities Lead the development of the technology and platform supporting our risk needs, ensuring high reliability, performance, and flexibility.
• Own the architecture and technical vision of the Risk Platform in close partnership with the Senior Director of Risk Engineering.
• Collaborate with Risk Product and Risk & Compliance teams to deeply understand business requirements and deliver effective technical solutions.
• Partner with Data and AI teams to leverage data and ML / AI platforms for solving risk-related problems.
• Drive technical excellence by challenging the status quo and implementing innovative solutions.
• Provide mentorship, coaching, and guidance to risk engineering teams, upholding strong engineering practices and DORA metrics.
• Build an inclusive, innovative, and high-performing global engineering team by attracting and developing top talent.
• Ensure reliable production execution of risk systems with strong observability and transparency.
• Collaborate with Security, SRE, and line-of-business engineering teams to integrate risk services and meet SLOs, security requirements, and error budgets.
• Contribute to long-term risk strategy while meeting near-term priorities through strong leadership and technical execution.

Requirements :

Experience with ML / AI and applying data-driven methods to risk management.

Proven leadership skills :

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Compensation :