Quantitative Analytics Associate
Quantitative Analytics Associate
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Job Description
You are a strategic thinker passionate about driving solutions in Quantitative Analytics. You have found the right team.
As a Quantitative AnalyticsAssociate 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 crossfunctional 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 crossfunctional 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:
- Bachelors degree in a quantitative fieldor 3years 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 problemsolving abilities
- Experience delivering recommendations to management
- Selfstarter with ability to drive for resolution
- Strong communication and interpersonal skills with ability to interact with individuals across departments/functions and with seniorlevel executives
Preferred qualifications capabilities and skills:
- MS degree in a quantitative fieldor 2or more years risk management or other quantitative experience
Required Experience:
IC
Employment Type
Full-Time
