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:
- BS degree in a quantitative field or 6 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 4 years risk management or other quantitative experience
- Background in statistics, mathematics, or other quantitative field
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.