Location: San Francisco

Employment Type: Full-Time

Team: Data Science

Upgrade is a fintech unicorn founded in 2017. We are the fastest-growing company in the Americas (Financial Times). In the last five years, over 15 million people have applied for an Upgrade card or loan, and we have delivered over $10 billion in affordable and responsible credit. Our innovative Upgrade Card is the fastest growing credit card in America (Nilson Report). Combining the flexibility of a credit card with the low cost of an installment loan helps us redefine banking.

Upgrade has been named a “Best Place to Work in the Bay Area” three years in a row, one of the “Top Companies to work for in Arizona”, and we have received awards 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 900 talented and passionate professionals. Come join us if you like to tackle big problems and make a meaningful difference in people's lives.

Responsibilities

• Work closely with Head of Credit for Upgrade Card to develop and maintain a range of credit strategies which include front end underwriting, portfolio management & loss forecast for Upgrade Card
• Actively evaluate consumer behavior analytics around card usage and balance
• Monitor various A/B tests to understand sensitivity around line and pricing, and make recommendations based on the findings
• Collaborate with Product, Engineering and BI to find opportunities in improving current KPIs and tracking to optimize funnel and customer experience
• Monitor and communicate card performance through hands on analysis
• Develop and manage periodic reporting templates to executive management, and Upgrade Investor teams

Requirements

• Bachelor’s degree in Business, Statistics, Mathematics, Computer Science or related
• 1-2+ years of industry experience in at scale technology, start-up or high growth company
• Working knowledge in SQL, R/ Python required, Tableau preferred
• Knowledge and experience of statistical procedures, decision tree, and financial analytic tools
• Strong data-manipulation and data visualization skills
• Experience exploring new tools and methodologies to solve real-world problems
• Detail oriented and strong analytical skills
• Experience operating in a fast-paced environment whilst focused on critical issues

Plus

• Master’s degree in Business, Statistics, Mathematics, Computer Science, Engineering or Economics
• Experience in a fintech or financial services industry
• Expert knowledge in SQL, R/ Python required, Tableau preferred

Benefits/Perks

- Competitive salary and stock option plan

- 100% paid coverage of medical, dental and vision insurance

- 401K match

- Unlimited vacation

- Hybrid workplace

- Learning stipend for personal growth and development

- Paid parental leave

- Health & wellness initiatives

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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.

California Employee Privacy Notice

Effective Date: 1/1/2020

Notice to Applicants for Employment, Employees, and Contractors:

This California Employee Privacy Notice is intended to provide California consumers who are employed or apply for employment or a contractor position with Upgrade information about the categories of personal information Upgrade collects and how the company uses this information. For any questions about this notice, please contact ccpa@upgrade.com.

Personal Information Upgrade Collects:

_Identifying information: including name, address, email, telephone number, social security number, driver license number, passport number, and other personal identifying information. Information you provide as a part of a job application or from a background check performed after a job offered is extended, including employment, education, credit, and criminal history. Data on work productivity and performance, including hours worked, electronic network activity, and tasks performed. _

Purposes for Collecting Personal Information:

_To consider applications for employment. To complete payments, including payroll, expense reimbursement, other compensation-related payments, and the administration of stock options. To administer benefits, including medical, dental, vision, commuter, and retirement benefits. To provide human resources services and conduct performance evaluations. To monitor work eligibility including work-related licenses, credentials, training, and eligibility to work in the United States. To ensure a safe and efficient working environment. To comply with applicable legal or regulatory requirements including state and federal company reporting obligations. _