The role
We are looking for a Senior Risk Analyst, Loss Forecasting to join our team. This is an exciting opportunity to join a growing Collections Center of Excellence (CCoE) team that has developed strong partnerships and working relationships with other key functional areas. This  Senior Risk Analyst, Loss Forecasting role for Loss Forecasting Risk is a critical role that will assist and help support the Best-in-Class Risk Loss Forecast Model, and help to establish and coordinate Capacity Planning, Staffing Model, as well as an Agent Incentive Plan.

This team member will work in the team that is responsible for Collection's loss forecasting across various SoFi products including but not limited to Personal Loans, Student Loans and Credit Cards. This Risk Analyst will contribute to the performance analysis of SoFi products using empirical measurements, use  quantitative and machine learning models to forecast losses and provide insights on the drivers for losses will also collaborate with the Business Unit, Finance, Accounting, Credit & Fraud Risk 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 (Daily) and other statistical analysis packages to get to the truth behind the data.

This role focuses on delivering enhanced capabilities around Credit Loss forecasting for the SoFi portfolio of loans by leveraging a newly developed suite of forecasting models while working with other Risk Analysts, operations, risk, and finance teams. It provides the opportunity to make impactful contributions to the bottom line. The Senior Risk Analyst, Loss Forecasting role will help to identify opportunities by creating and monitoring roll-rates, charge offs, recoveries, macro-economic changes/trends, portfolio fluctuations and changes in originations and profiles to help provide recommendations to help drive the business to successful outcomes.

By joining SoFi, you'll 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 you’ll do:
● Help to build and maintain the Best-in-Class Risk Loss Forecast and Outlook Model. Establish the Risk Loss Forecast and Outlook review and update. 
● Partner with MIS to Create and update KPI and Dashboard at the Portfolio level to help drive improved loss forecasting.
● Collaborate with Model development and Model execution teams in initial implementation of a new, complex Credit loss forecasting model across multiple use cases in Quarterly forecast assessments, Strategic business planning, and for other what-if-sensitivity analysis
● Ensure and demonstrate reasonability of input assumptions for loss forecasting in the new model and analyze resulting forecast outcomes during each forecast cycle for appropriateness.
● Analyze Loss forecast estimates from the new model alongside other models to formulate ranges and understand varying dynamics
● Enable the phased evolution of the new model’s loss forecasting capabilities by identifying areas for enhancement and follow up including robust prioritization with stakeholders
● Formulate the input for Credit Loss forecast estimates for use in Capital planning and Stress Testing using appropriate models, and other tools
● Collaborate with Credit Strategy, Collections and Portfolio teams to incorporate changes in underwriting, as well as other business dynamics within the overall forecast
● Assess externally sourced Macro economic forecasts for use within the model suite as well as present to internal stakeholders across Credit, Risk, and Finance functions
● Assist the Loss forecast process owner, and model owner with tasks related to model governance and process governance
● Aggregating and synthesizing data sets from multiple data environments
● Analyzing complex datasets to understand the performance and drivers for losses across various products

What you’ll need:
● 4+ years of loss forecasting experience. Prior experience in credit loss forecasting  
● Proficient in Python and SQL with working knowledge of Tableau 
● Someone who is highly motivated and drives change, is eager to learn and able to work collaboratively in a complex and fluid environment
● Strong Communication Skills
● Bachelor’s degree in a quantitative field of study (i.e., Accounting, Business, Economics, Finance, Mathematics, Statistics, Engineering, Decision sciences/ Analytics, Risk Management) and experience in Credit, Risk or Collections in Consumer Finance or other relevant professional experience; or in lieu of a degree
● Advanced EXCEL skills with demonstrable familiarity with data processing/report building/analysis techniques
● Possess an analytics background and the strategic 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
● High motivation to drive change, eager to learn, and able to work collaboratively in a complex and fluid environment
● Proven analytical skills in conducting sophisticated analysis using customer performance data, bureau attributes and other 3rd party variables to solve business problems; a demonstrated ability to synthesize and communicate analysis to peers and senior management
● A history of success in leading initiatives and driving results through collaboration and hands-on work
● Experience in banking and/or fintech industry with excellent communications skills
● Ability to collaborate well with teammates and business partners and influence business decisions

Nice to have:
● 4+ years of related experience with a Master’s 
● Experience solving data heavy problems
● A passion for well-tested code and utilizing testing frameworks
● Collections and recovery industry experience with a focus in contact strategy, modeling, or risk analytics work experience