Upgrade helps customers move in the right direction with affordable and responsible financial products. Since 2017, we’ve helped over 7 million customers access over $40 billion in consumer credit. With a relentless focus on improving our customers' financial well-being, we build products that put more money in their pocket and support their journey toward a better financial future. We’re backed by some of the most prominent technology investors and were most recently valued at $6.3B.
We’re consistently recognized for our collaborative and inclusive culture. Most recently, we were named one of the World’s Top Fintech Companies by CNBC, Best Places to Work by Built In, Best Places to Work by the San Francisco Business Times, America’s Greatest Workplaces by Newsweek, Best Startup Employer by Forbes, and Healthiest Employers by Phoenix Business Journal.
We’re looking for new team members who get excited about designing and delivering new and better products. Come join us and help build a better financial future for millions of people.
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.
About the Role:
- 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.
What We Look For:
- 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
What We Offer You:
- Competitive salary and stock option plan
- 100% paid coverage of medical, dental and vision insurance
- Flexible PTO
- Competitive 401(k) and RRSP program
- Opportunities for professional growth and development
- Paid parental leave
- Health & wellness initiatives
#LI-Remote #BI-Remote
For California residents: Upgrade's California Notice at Collection and Privacy Policy describes our practices regarding the collection, use, and disclosure of the personal information of job applicants.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Upgrade does not accept unsolicited resumes from staffing agencies, search firms, or any third parties. Any resume submitted to any employee of Upgrade without a prior written agreement in place will be considered the property of Upgrade, and Upgrade will not be obligated to pay any referral or placement fee. Agencies must obtain advance written approval from Upgrade's Talent Acquisition department to submit resumes and only in conjunction with a valid, fully executed agreement. English is required for all positions, as it involves interacting with staff at Upgrade's offices worldwide.
