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 opportunitiesManage, 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 SaleIdentify 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 infrastructureCollaborate with cross-functional partners to understand and address key business challengesIdentify business opportunity by performing well thought analysis – Data mining, ensuring data integrity, synthesizing and communicating findings to senior managementAssist 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 experienceBackground in statistics, mathematics, or other quantitative field Advanced understanding of Python, SAS, and SQLQuery large amounts of data and transform the raw data into actionable management informationStrong analytical and problem-solving abilitiesExperience delivering recommendations to managementSelf-starter with ability to drive for resolutionStrong 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