Upgrade is a fintech company that provides affordable and responsible credit, mobile banking, and payment products to everyday consumers. We were the fastest growing company in the Americas last year according to the Financial Times and Upgrade Card was the fastest growing credit card in America two years in a row. We have delivered over $33 billion in affordable and responsible credit to our 5.5M customers. The company is backed by some of the most prominent technology investors and was recently valued at $6.3B.
We have built an energizing, collaborative and inclusive culture where team members help each other, learn and innovate to move the company and its customers in the right direction, and own the outcome of their efforts.
Upgrade has been named a “Best Place to Work in the Bay Area” three years in a row, “Top Companies to work for in Arizona” and one of the "Best Engineering Department" awarded annually by Comparably. We've also received recognition for being a best company for Diversity, Women, Culture, and Veterans.
We are looking for new team members who get excited about designing and delivering new and better products to join a team of 1850 talented and dedicated professionals. Come work with us if you like to tackle big problems and make a meaningful difference in people's lives.
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 Intern, you will be reporting to the Director of Model Risk Management and you will gain experience in identifying model risks and strengthening model robustness and performance.
Schedule: Full Time (3 month duration) Start date June 2nd
What You’ll Do:
- Review and validate statistical/machine learning models
- Review model methodology, data process, outcome analysis to identify gaps and improve on model performance
- Participate in model validation report analysis and write-ups
What We Look For:
- Pursuing an advanced Degree (MS/PhD) in Statistics, Mathematics, Data Sciences or a related quantitative discipline
- Deep understanding in probability, machine learning, and statistical modeling
- Proficient in Python. Experience with SQL is a plus
- Detail oriented and strong analytical skill set
- Proactive, driven, and ability to work in a fast-paced environment
What We Offer You:
- Paid internship providing valuable experience
- Remote work
- Invaluable experience working within an exciting, high-growth fintech company
- Direct mentorship and learning opportunities from experienced professionals
- Opportunity to contribute meaningfully to key initiatives and see the direct impact of your work
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.
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