Are you interested in joining a dynamic team? Become a 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 organiz... more details
Are you interested in joining a dynamic team? Become a 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 Quantitative Analytics Associate I in the Point of Sale Fraud team, you will manage fraud risk strategies in the Fraud Policy area and perform complex risk analyses with the objective of reducing fraud related losses while balancing customer impact. Associate will frequently interact and communicate with cross-functional partners and presentation to managers and executives.
Job responsibilities:
Interpret large amounts of 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:
BS degree in a quantitative field or 2 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:
Familiarity with risk analytic techniques
Schedule: Hybrid Monday thru Friday 8:00am to 5:00pm
This role does not offer visa sponsorship.
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.
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