Credit Strategy Analyst/Data Scientist, Personal Loans

The team

SoFi's Credit team manages credit risk strategies for our lending products (Personal Loan, Student Loan Refinance, Private Student Loan, Credit Card, and Mortgage) - including underwriting strategies for new account origination and portfolio risk management strategies, collections/recovery strategies and operations, and risk and operational data science and analytics. The team designs data-driven strategies to enhance our products' profitability and member experience.

The Credit Strategy Analyst/ Data Scientist, Personal Loans, will work in the Credit risk team with 1LOD (first line of defense) responsibilities. They will analyze diverse big-data sources to develop credit underwriting strategy proposals for enhancing profitability and generate actionable insights and solutions for the risk management of SoFi's lending products. The initial focus of the role will be on Personal loans, but the candidate may get opportunities to work on other lending products in the future, such as Student Loans and Credit Cards.

The candidate will be responsible for developing and implementing personal loan underwriting, risk tiers and loan amount assignment strategies that meet our risk appetite, monitoring and analyzing the loss trends within the portfolio to provide insights and recommendations for strategy enhancement opportunities.

The Credit Strategy Analyst/ Data Scientist will collaborate with cross-functional teams such as Business Units, Capital Markets, Product, and Engineering, and use business knowledge and quantitative and analytical skills to drive revenue, control loss, and provide value to the company and consumers.

The ideal candidate will possess a data-driven analytics background and the business acumen to direct a function that draws strategic insights from data using database and statistical analysis tools to inform decisions and support SoFi's overarching strategic goals relative to loss prevention and profit optimization. They bring new ways of thinking, data sources, technologies, and capabilities to SoFi.

What you'll do:

• Innovate... Bring your brightest ideas to design and develop credit strategies (including underwriting criteria, pre-screen targeting, and Loan amount assignment strategies) to optimize profitability through the improvement of loss, revenue, and/or expenses, as well as enhance the member experience of SoFi's products.
• Data Driven... Your deep analysis through big data will power the future of lending with a real-time data ecosystem - including multi-product internal, bureau, third-party, and alternative data sources and uses. You will develop coding, algorithms, and processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Iterate, learn, innovate... We are all responsible for innovation and must embrace data-driven decisions. You will Identify meaningful insights from large data and metadata sources, use data analysis / quantitative approaches to identify observations, issues, and opportunities.
• Control the Loss and Drive Performance Outcomes ... Understand credit performance and develop approaches to reduce loss and responsibly grow revenue. Closely monitor the performance of credit strategies and portfolios. Interpret and communicate insights, findings, or proposals from analysis and tests to business functions/stakeholders. Document and communicate results and escalate issues as necessary. Identify gaps/opportunities and drive actions.
• Grow, Grow, Grow!... Be inspired by dynamic leaders and our rapidly growing business. We want YOU to be an inspired leader of tomorrow, so we are recruiting the best, brightest, and passionately quantitative team members.

What you'll need:

• B.S. or M.S.. in Statistics, Mathematics, Operations Research, Engineering, Computer Science or a related quantitative field is required for this position;
• 3+ years of industrial experience working in the consumer lending business in a credit strategy, modeling, marketing analytics, or related roles
• Proven track record of end-to-end experience in building analytical frameworks to develop credit strategies
• Strong analytical skills in conducting sophisticated analysis and identifying meaningful insights from large unstructured data sources, including customer performance data, bureau attributes and tradeline data, internal data, and other 3rd party data to solve business problems
• Exceptional programming skills in SQL and Python
• A demonstrated ability to synthesize and communicate insights, findings, or proposals from analysis to business partners and senior management
• High motivation to drive results, eager to learn, and able to work collaboratively in a fluid environment
• Knowledge/skills in analytical and modeling techniques such as Decision Tree, regression modeling, A/B Testing, and Tableau
• Preferred: 3+ years of consumer lending credit strategy development work experience
• Preferred: Experience in analyzing and testing credit strategies to meet the fair lending requirements