Senior Model Risk Analyst

About the Role

Upgrade’s Model Risk Management team plays a critical role in ensuring the integrity and reliability of the machine learning/statistical models used across the company. As a part of Upgrade’s risk function, we provide effective and independent challenges to assess, validate, and mitigate risks related to model development and usage, ensuring they align with regulatory standards and best practices. As a Model Risk Senior Analyst, you will be integral in identifying model risks and strengthening model robustness and performance.

Responsibilities

• Review and validate statistical/machine learning models for various business areas, including Credit Risk, Fraud, Marketing, and Operations.
• Review and challenge model methodology, data process, outcome analysis to identify gaps and improve on model performance.
• Actively research new tools and techniques available for model development and validation.
• Collaborate with various teams across Upgrade in model validation process: Decision Science, Credit Risk, etc.

Requirements

• Advanced Degree (MS/PhD) in Statistics, Mathematics, Data Sciences or a related quantitative discipline
• 1-5 years experience as a Data Scientist, Statistician, or related modeling background. Experience in underwriting models is a plus
• Experience in latest machine learning techniques (Random Forest, Gradient Boosted Trees, etc.)
• Familiar with Model Risk Management function and SR 11-7
• Ability to go deep into complex technical topics, understand modeling and algorithms
• Proficient in Python and experience with SQL
• Ability to write documentation and present analysis to people with different levels of expertise (e.g., technical staff, business leads, etc.)
• Detail oriented and strong analytical skill set
• Proactive, driven, and ability to work in a fast-paced environment

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