Risk Analytics Manager
Risk Analytics Manager
Progressive Leasing, LLC located in Draper, UT seeks a Risk Analytics Manager.
Duties include drawing business insights from data through complex analysis, data mining & visualization. Analyze large data sets of sales, finance, accounting, compliance, & operations data to provide actionable solutions, analyses, decision tools, visualizations, & forecasts. Interact with financial analysts, operations, sales, & subject matter experts to review overall development & implementation of pricing strategy. Work in conjunction with compliance & legal experts to ensure Progressive's pricing practices are compliant with all national, state, and local laws. Work closely with data scientists & manage pricing analysts to run experiments on different pricing offerings within varied market segments & merchandise verticals. Analyze complex sets of transactional & application data to detect, monitor, & prevent fraudulent activity. Understand tech architecture of data storage systems and extract & process raw data & turn it into usable information, draw insights from the information within the data at a correct level of statistical confidence, to sort out randomness and noise from usable information, & draw signals from complex interactions between variables with the goal of developing advanced fraud prevention solutions. Use results of data analysis to programmatically make optimal decisions on how to allocate company resources for manual fraud reviews, set customer transaction terms, & develop internal rulesets. Build, maintain, & improve decision systems & algorithms for enhanced fraud prevention & detection. Design new fraud prevention & monitoring metrics using scientific, data-driven approach that yields results at optimum level of statistical significance. Establish processes designed to increase accuracy of fraud identification tools, resulting in greater operational efficiency with the elimination of waste. Present overall strategy, trends, performance metrics, & forecasting to senior management with regard to organization's fraud management efforts. Identify industry areas & emerging technologies & pioneer their development & training across the organization, department, & team.
Requires Master's degree in a technical field of finance, analytics, statistics, or in business with concentration in finance or analytics & 1 year experience with different programming languages such as SQL, SAS, Python, & R, demonstrating clear ability for problem formulation, logical simplification, & solution development; or Bachelor's degree in a technical field of finance, analytics, statistics, or in business with concentration in finance or analytics, with 5 years of experience including experience with data exploration & analysis tools such as SQL, SAS, Python, and R; experience with data analysis in coordination with different departments of an organization; & experience with different programming languages demonstrating a clear ability for problem formulation, logical simplification, & solution development.