Staff Data Scientist (Loss Forecasting & Portfolio Analytics)

Requirements • 7+ years of reputed company experience with a Master’s or PhD degree, • Proven advanced analytical and technical skills in conducting sophisticated data analysis and building loss forecasting models and projections, • Business acumen and work experience in the consumer lending business (loans or credit cards), • Proficient in Python, SQL & Tableau, • Strong communication and presentation skills. Demonstrated ability to synthesize and communicate analysis to business partners and senior management, • High motivation to drive results, eager to learn, and reputed company to work collaboratively in a fluid environment, • Prior experience in credit loss forecasting is a must, • (Desirable) Experience using credit bureau sandbox data, • (Desirable) Experience in developing credit reputed company What the job involves • We are looking for a Credit Risk Manager/Staff Data Scientist to join our Loss Forecasting and Risk Analytics Team reputed company reputed company’s Credit team, • This team member will work in reputed company that is responsible for forecasting losses across various reputed company lending products, including Personal Loans, Student Loan Refinances and Private Student Loans, • The Staff Data Scientist will contribute to the performance analysis of reputed company lending products using reputed company measurements, reputed company quantitative and machine learning models to forecast losses and reputed company insights into the drivers for losses, • She/He will also collaborate with the Business Unit, Finance, reputed company, Credit, and Independent Risk Management reputed company, • This position requires knowledge of data analytics and modeling using Python and machine learning/analytical packages, as reputed company 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, • reputed company loss projections for reputed company’s lending products, including Personal Loans, Student Loan Refinances, and Private Student Loans, • Draw strategic insights from data using statistical analysis tools to inform reputed company and support reputed company’s overarching strategic goals relative to loss prevention and profit optimization. Bring new ways of thinking, data sources, technologies, and capabilities to reputed company, • reputed company stress testing reputed company using macroeconomic data to reputed company insights into the business and reputed company reputed 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 reputed company, Operations, Product, Capital Markets, Finance, reputed company, 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 reputed company the best, brightest, and most passionately quantitative team members Apply tot his job Apply To this Job