Staff Data Scientist Loss Forecasting & Portfolio Analytics at SoFi

The roleWe are looking for a Credit Risk Manager/Staff Data Scientist to join our Loss Forecasting and Risk Analytics Team within Sofis Credit team. This team member will work in the team that is responsible for forecasting losses across various SoFi lending products including Personal Loans Student Loan Refinances and Private Student Loans. The Staff Data Scientist will contribute to the performance analysis of SoFi lending products using empirical measurements develop quantitative and machine learning models to forecast losses and provide insights into the drivers for losses. She/He will also collaborate with the Business Unit Finance Accounting Credit and Independent Risk Management groups. This position requires knowledge of data analytics and modeling using Python and machine learning/analytical packages as well as strong problem-solving and communication skills. The ideal candidate will have expertise in analyzing large datasets and developing models using Python SQL and other statistical analysis packages to get to the truth behind the data.By joining SoFi youll become part of a forward-thinking company that is transforming financial services for the better. We offer the excitement of a rapidly growing startup with the stability of an industry-leading leadership team.What youll do:Develop loss projections for SoFis lending products including Personal Loans Student Loan Refinances and Private Student Loans.Draw strategic insights from data using statistical analysis tools to inform decisions and support SoFis overarching strategic goals relative to loss prevention and profit optimization. Bring new ways of thinking data sources technologies and capabilities to SoFi.Develop stress testing framework using macroeconomic data to provide insights into the business and enable the company to plan proactively for economic downturns.Improve forecasting accuracy and productivity. Ensure good documentation and control of forecasting methodologies and procedures.Explore external credit data to identify trends in the market and industry.Work with Business Units Operations Product Capital Markets Finance Accounting and Risk partners to ensure correct loss expectations and trends of losses are communicated effectively and executed appropriately.Be inspired by dynamic leaders and our rapidly growing business. We are recruiting the best brightest and most passionately quantitative team members.What youll need:7 years of related experience with a Masters or PhD degreeProven advanced analytical and technical skills in conducting sophisticated data analysis and building loss forecasting models and projectionsBusiness acumen and work experience in the consumer lending business (loans or credit cards)Proficient in Python SQL & TableauStrong communication and presentation skills. Demonstrated ability to synthesize and communicate analysis to business partners and senior managementHigh motivation to drive results eager to learn and able to work collaboratively in a fluid environmentPrior experience in credit loss forecasting is a mustNice to have:Experience using credit bureau sandbox dataExperience in developing credit risk strategiesRequired Experience:Staff IC Key Skills Laboratory Experience,Bioinformatics,Biochemistry,Utility Locating,Assays,Research Experience,Next Generation Sequencing,Sensors,Signal Processing,Matlab,Research & Development,Molecular Biology Employment Type : Full-Time Experience: years Vacancy: 1