Manager Model Risk Management Jobs in Oregon (NOW HIRING)

The Team: 

Upstart's Responsible AI Lending team is responsible for ensuring the safety and soundness of underwriting across Upstart Bank's lending portfolio. The team monitors portfolio performance, evaluates emerging risks, and establishes governance frameworks that support responsible growth while meeting regulatory expectations.

As the Credit Risk Oversight Manager at Upstart, you will serve as the primary owner of 2LOD Credit Risk oversight monitoring and policies.  You will be responsible for establishing  the capability and leading credit portfolio monitoring and risk oversight across consumer lending products. You will build the frameworks, dashboards, and processes that enable leadership, committees,  and the board to understand portfolio performance, identify emerging risks both internal and external, and make informed decisions while supporting continued innovation of AI-driven underwriting.

How you'll make an impact

• Develop and maintain credit risk monitoring frameworks that assess portfolio performance relative to business plans, policy limits, and stress scenarios.
• Establish key risk indicators, thresholds, and early warning signals that identify emerging credit risks across evolving underwriting models and changing economic conditions.
• Provide credible challenge to 1LOD model development, treasury, credit strategy, and product leaders by using portfolio insights to assess whether performance remains aligned with risk appetite, policy expectations, and business plans.
• Partner with Machine Learning, Product, Risk, and Bank leadership teams to evaluate portfolio performance and recommend actions when risk metrics deviate from expectations.
• Partner with peers in Model Risk Management and Fair Lending on second line teams.
• Prepare and present portfolio risk analyses, monitoring results, and recommendations to senior leadership, governance committees, and other stakeholders.
• Design and implement governance processes, reporting routines, and operating mechanisms that support regulatory expectations and effective risk oversight.
• Provide independent challenge and oversight of credit policies, underwriting performance, and risk management practices while balancing innovation and prudent risk management.

Minimum Qualifications 

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Business, or a related quantitative field (or equivalent practical experience).
• 7+ years of experience in consumer credit risk management, portfolio analytics, or credit risk oversight.
• Experience analyzing credit performance across the consumer lending lifecycle, including acquisition, underwriting, portfolio management, and repayment outcomes.
• Experience using data analysis tools such as SQL, Python, R, or similar analytical platforms to evaluate portfolio performance and risk trends.
• Experience communicating quantitative analyses and risk assessments to senior business leaders through written reports and presentations

Preferred Qualifications

• 10+ years experience in consumer credit risk management across multiple asset categories.
• Knowledge of machine learning concepts and their application within consumer lending or credit underwriting environments.
• Experience developing credit risk monitoring frameworks, risk appetite metrics, or portfolio governance processes.
• Knowledge of banking regulatory requirements and supervisory expectations related to consumer credit risk management.
• Experience conducting portfolio stress testing, scenario analysis, or sensitivity analysis.
• Ability to influence cross-functional stakeholders and build alignment across risk, product, analytics, and executive leadership teams.

Position location: Remote (United States)

Time zone requirements The 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 in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

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