Are you interested in joining a dynamic team? Become a Senior Quantitative Analytics Associate on our Consumer and Community Banking (CCB) Point of Sale Fraud Strategy team to help prevent fraudulent transactions. Experiences, learnings, and connections in this role will give you strong basics for your growth in the firm and industry. In order to excel, you'll be highly motivated, highly analytical, extremely detail oriented, and an exceptional problem solver who takes pride in being part of an organization that owns customer issues from beginning to end and delivers a great customer service. 

As a Senior 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 statements and 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 the 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 opportunities 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 and concise oral and written communication across various functions and levels, inclusive of Operations, IT, and Risk Management.

Required qualifications, capabilities, and skills:

BS degree in a quantitative field  4 years of experience in an analytical role with proven ability of problem-solving abilities  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 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 Industrial Engineering or other Engineering discipline Experience working in Fraud, either in banking or non-banking Experience working in AML

This role does offer visa sponsorship.

Schedule: Hybrid Monday thru Friday 8:00am to 5:00pm

This is a Hybrid position which will require the incumbent to commute/work on site 3 days a week and work from home 2 days a week.