Strategic Analytics

Join the Consumer and Community Banking Fraud Risk Strategic Analytics team, where you'll have the chance to generate insightful analytics and recommendations for strategy development, implementation, and operational controls. This role offers the opportunity to be part of a team leading the way in providing strategic insights for business decisions in the Cards Business Fraud identification space. You'll be tasked with developing and communicating insights to influence strategic initiatives, using your analytical problem-solving skills and large data sets from various sources. Strong programming skills and excellent communication are essential, as is an understanding of the data repositories, tools, policies, and controls required in the risk reporting and analytics space.

As a Associate - Fraud Risk Strategic Analytics in the Consumer and Community Banking Fraud Risk Strategic Analytics team, you will be at the forefront of providing strategic insights to promote business decisions for the Cards Business in Fraud identification space. You will be responsible for developing and communicating meaningful insights to influence strategic initiatives to senior leaders. You will leverage creative analytical problem-solving skills while efficiently using large data sets from a broad range of sources. Your strong programming skills coupled with excellent written and oral communication will be key in this role.

Job responsibilities

• Taking ownership of card acquisitions fraud strategy and ensure clear plan is place to minimize overall fraud application loss 
• Monitoring credit card third party fraud risks and fraud attack trends to identify tactical and strategic responses to minimize customer and bank exposure across acquisition channels
• Collaborating with operations, marketing, product, tech, loss line owners, process owners and analytics teams to develop and prioritize initiatives and resources to maximize existing capabilities. 
• Escalate potential risks which may result in unacceptable fraud controls and losses
• Provide support, including analysis, to various strategic initiatives outlined by the business and Fraud Strategy leadership
• Perform analysis of current and historic data to keep fraud systems and processes updated
• Conduct periodic high fraud losses case reviews to identify gaps in fraud strategy, case management or make procedural adjustments
• Develop and maintain periodic analytics to provide management with insights into emerging trends and quality of the originated accounts
• Attain a detailed understanding of key performance metrics and profitability drivers, enabling the delivery of insights encompassing the full account lifecycle
• Acquire an understanding of the operational processes (e.g. pre-book, post-book treatment, recovery) which will aid in understanding acquisition performance drivers
• Conduct ad hoc analytics and contribute to various projects representing Risk Management

Required qualifications, capabilities, and skills 

• Bachelor's/Master's degree in a quantitative or business discipline from an accredited college/university required
• Minimum 4 years Risk Management or other quantitative experience required
• Background in statistics, econometric, or other quantitative field required
• Advanced understanding of SQL, SAS, SAS Enterprise Miner, or other decision tree software
• Query large amounts of data and transform the raw data into actionable insights
• Familiarity with risk analytic techniques. 
• Strong analytical, interpretive and problem solving skills with the ability to interpret large data and its impact in both operational and financial areas
• Strong written and verbal communication skills and ability to interact with all levels of the organization is required with the ability to storyboard along with the ability to defend storyboard position
• Proficient in Excel & PowerPoint

Preferred qualifications, capabilities and skills 

• 2 years of experience in Fraud risk role
• Experience with Credit Card Fraud / ID theft
• Strong P&L knowledge and understanding of drivers of profitability
• Demonstrated experience with data analysis, designing & analyzing experiments, and strategy