Staff ML Model Risk Specialist

The Team:

Upstarts ML Model Risk team is responsible for ensuring that the risk of machine learning (ML) models at Upstart is wellunderstood monitored and mitigated which requires deep understanding of the models themselves. This work is essential for Upstarts internal risk management ensuring that our models help us make better decisions and to maintain credibility with external stakeholders such as our lending partners and regulators. The teams focus is on articulating sound model risk management principles and implementing them in collaboration with our peers on Upstarts Risk and Machine Learning teams. This work also includes explaining our ML models to stakeholders supporting external validations and conducting analyses to reinforce our goals.

As a Staff ML Model Risk Specialist at Upstart you will play a critical role in making robust model risk management a reality by leading daytoday implementation of Upstarts model risk management program. This work includes partnering with our Machine Learning teams to meet model risk management requirements with tasks ranging from producing robust model documentation assisting with monitoring and validation efforts and partnering with other Upstart stakeholders to understand model risk management needs across the enterprise.

How youll make an impact

• Partner with model developers in the Machine Learning team to maintain robust and uptodate model inventory model risk assessments documentation and monitoring reports. For instance ensure that documentation is both technically adequate and comprehensible to stakeholders with varying needs and levels of technical sophistication.
• Partner with ML teams to provide effective challenge of Upstarts models and communicate modeling assumptions to external stakeholders.
• Answer model questions from lending partners in collaboration with other teams.
• Partner with central Upstarts Legal and Compliance teams as needed to ensure our model risk management implementation meets or exceeds Upstarts internal policies as well as regulatory requirements.

Minimum Qualifications

• Masters degree in quantitative field such as finance mathematics economics statistics or a related discipline
• 4 years of experience in model risk management or model governance or related fields such as ML and Data Science Risk Trust and Safety or Technical Writing
• Understanding of AI/ML methodologies such as treebased models and neural networks
• Experience coding in R Python or similar languages such as Matlab

Preferred Qualifications

• PhD in a quantitative field of study such as statistics econometrics finance mathematics; or a related discipline
• 5 years experience in similar roles
• Strong communication skills: ability to adapt technical information to varying needs and audiences and managing tradeoffs such as providing modeling detail while protecting intellectual property
• Proactive mindset with the ability to take initiative and drive projects forward
• Understanding of advanced AI/ML topics such as model monitoring fairness and explainability
• Advanced coding skills in R Python and SQL and experience using Git
• Consumer lending knowledge and/or experience within an MLcentric technology company

What youll love:

• Competitive Compensation (base bonus & equity)
• Comprehensive medical dental and vision coverage with Health Savings Account contributions from Upstart
• 401(k) with 100 company match up to $4500 and immediate vesting and aftertax savings
• Employee Stock Purchase Plan (ESPP)
• Life and disability insurance
• Generous holiday vacation sick and safety leave
• Supportive parental family care and military leave programs
• Annual wellness technology & ergonomic reimbursement programs
• Social activities including team events and onsites allcompany updates employee resource groups (ERGs) and other interest groups such as book clubs fitness investing and volunteering
• Catered lunches snacks & drinks when working in offices

Position Location This role is available in the following locations: Remote

Time Zone Requirements This team operates on the East/West Coast time zones.

Travel Requirements As a digital first company the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time inperson collaborating via regular onsites. The inperson sessions cadence varies depending on the team and role; most teams meet once or twice per quarter for 24 consecutive days at a time.

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