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Senior Risk Data Analyst

Upgrade
Remote
United States

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 $31 billion in affordable and responsible credit to our 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 β€œBest Place to Work in the Bay Area” three years in a row, β€œTop 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 1600 talented and dedicated professionals. Come work with us if you like to tackle big problems and make a meaningful difference in people's lives.

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About the Role:


We’re looking for a Senior Risk Data Analyst to join our team. In this role, you will build dashboards and analyze comprehensive data sets using SQL, Python, and Tableau. As an expert in risk management and data analysis, you will communicate core technical data concepts to our stakeholders.Β 



What You’ll Do:



  • Develop and maintain reports, dashboards, and other products using SQL, Python, and Tableau as directed by your manager.

  • Work closely with the Risk, Compliance, and Legal teams for the accurate extraction and presentation of licensing reporting data to external parties.

  • Work closely with the Risk, Compliance, and Credit Risk teams for the accurate extraction of Fair Lending reporting data to external parties.

  • Assist with the identification, development, and reporting of risk metrics on a recurring basis.

  • Enhance data and analysis work by providing actionable insight to your manager.

  • Partner with Risk and Compliance on KPI’s and helping maintain best in class SLAs.

  • Work collaboratively, cross-functionally, and independently to interface with stakeholders and other analysts or engineers to meet business requirements.

  • Effectively communicate (written and verbal) technical subject matters to non-technical business stakeholders.

  • Learn and grow in Risk and Compliance operations with a focus on back-end databases and reporting of relevant business information.


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What We Look For:



  • 5+ years of experience in a quantitative/analysis/reporting role within the Financial Services industry

  • Advanced knowledge of SQL (PostgreSQL experience and Redshift experience are preferred)

  • Proficient in Excel

  • Knowledge of Python Scripting or other programmatic scripting preferred

  • Minimum of 1 year of experience using a major BI data or visualization solution (Tableau preferred)Β 

  • Knowledge of how to collect data from different information sources and distribute them to users; ability to use this information to simplify information systems and make sound business recommendations to senior business leaders

  • Team-player with superior interpersonal skills who can work closely with both technical development teams and end business users

  • Sense of ownership and responsibility towards problems and solutions


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What We Offer You:Β 



  • Competitive salary and stock option plan

  • 100% paid coverage of medical, dental and vision insuranceΒ 

  • Flexible PTO

  • Opportunities for professional growth and developmentΒ Β 

  • Paid parental leave

  • Health & wellness initiatives


#LI-Remote #BI-Remote


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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.