Job
Description
You are a strategic thinker passionate about driving solutions in Quantitative Analytics. You have found the right team. As a Quantitative Analytics Associate in the Credit Point of Sale Fraud team, you will manage fraud risk strategies in the Fraud Strategy area and perform complex risk analyses with the objective of reducing fraud related losses while balancing customer impact. You will frequently interact and communicate with cross-functional partners and present to managers and executives. This role provides an opportunity to be part of a dynamic team that is instrumental in protecting the bank from fraud related losses and improving customer experience at Point of Sale. Job responsibilities: Interpret big and complex data to formulate problem statement, concise conclusions regarding underlying risk dynamics, trends, and opportunities Manage, develop, communicate, and implement optimal fraud strategies (including rules, cutoffs, policies, operational flows, etc.) to protect the bank from fraud related losses and improve customer experience at Point of Sale Identify key risk indicators and metrics, develop key metrics, enhance reporting, and identify new areas of analytic focus to better capture fraud. Provide subject matter expertise on strategy implementation/testing and initiatives related to the improvement of risk mitigation processes and infrastructure Collaborate with cross-functional partners to understand and address key business challenges Identify business opportunity by performing well thought analysis – Data mining, ensuring data integrity, synthesizing and communicating findings to senior management Assist team efforts in the critical development of new fraud pattern or spending pattern detection tools while providing clear/concise oral and written communication across various functions and levels, inclusive of Operations, IT, and Risk Management Required qualifications, capabilities and skills: Bachelor’s degree in a quantitative field or 3 years risk management or other quantitative experience Background in statistics, mathematics, or other quantitative field Advanced understanding of Python, SAS, and SQL Query large amounts of data and transform the raw data into actionable management information Strong analytical and problem-solving abilities Experience delivering recommendations to management Self-starter with ability to drive for resolution Strong communication and interpersonal skills with ability to interact with individuals across departments/functions and with senior-level executives Preferred qualifications, capabilities and skills: MS degree in a quantitative field or 2 or more years risk management or other quantitative experience
