Upgrade, Inc.
Upgrade, Inc. is a company that focuses on providing personalized experiences on its website and mobile application through the use of cookies and other tracking technologies. The company emphasizes user privacy and allows users, particularly those in California, to opt out of the sharing of personal information for cross-context behavioral advertising. Upgrade, Inc. collects information such as user preferences or device details to enhance site functionality and deliver tailored product and service information. It prioritizes the functionality of its site through essential cookies while offering options for users to manage their privacy settings and consent preferences.
FinTech • Personal Loans • Credit Monitoring • Consumer Credit • Credit Lines
Model Risk Analyst
April 14
Upgrade, Inc.
Upgrade, Inc. is a company that focuses on providing personalized experiences on its website and mobile application through the use of cookies and other tracking technologies. The company emphasizes user privacy and allows users, particularly those in California, to opt out of the sharing of personal information for cross-context behavioral advertising. Upgrade, Inc. collects information such as user preferences or device details to enhance site functionality and deliver tailored product and service information. It prioritizes the functionality of its site through essential cookies while offering options for users to manage their privacy settings and consent preferences.
FinTech • Personal Loans • Credit Monitoring • Consumer Credit • Credit Lines
📋 Description
• Upgrade is a fintech company that provides affordable and responsible credit, mobile banking, and payment products to everyday consumers. • The 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 Model Risk Analyst, you will be integral in identifying model risks and strengthening model robustness and performance. • This role involves reviewing and validating statistical/machine learning models and methodologies.
🎯 Requirements
• Advanced Degree (MS/PhD) in Statistics, Mathematics, Data Sciences or a related quantitative discipline. • 0-2 years experience as a Data Scientist, Statistician, or related modeling background. Recently graduated students welcome to apply. • Experience and/or strong interest in latest machine learning techniques (Random Forest, Gradient Boosted Trees, etc.) strongly preferred. • Ability to go deep into complex technical topics, understand modeling and algorithms. • Proficient in Python. • 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.
🏖️ Benefits
• Competitive salary and stock option plan • 100% paid coverage of medical, dental and vision insurance • Flexible PTO • Opportunities for professional growth and development • Paid parental leave • Health & wellness initiatives
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