Consumer Banking
2 weeks ago
As a Fraud Risk Strategy Analytics Associate within our Risk Management team, you will have the opportunity to analyze , develop new fraud fighting products, and work with cross-functional teams. You will leverage your strong analytical and problem-solving skills to interpret large amounts of data and its impact in both operational and financial areas. This role provides an opportunity to develop creative solutions to challenges presented by fraud activity and to contribute significantly to our risk management efforts.
As Overdraft Risk Strategy associate you will be responsible for the analytics/strategy to manage the overdraft loss line.
Job Responsibilities :
The person will be tasked with developing strategies to mitigate losses by leveraging data from across the firm, advanced machine learning models, and other advanced analytics. The role requires close partnership with the consumer and business banking, operations, technology, and product teams to develop a deep understanding of customer needs and drivers of customer behavior along with impact of strategies on customer experience. Responsible for working closely with technical product team to deliver best in class technology solutions to manage the portfolio. Maintaining and enforcing a strong controls environmentWe are seeking individuals with intellectual curiosity and strong critical thinking and problem-solving skills with an interest in working with new technologies and techniques.
Required qualifications, capabilities and skills
At least 3 years of professional experience, experience in risk management, strategic analytics, or data science preferred Experience managing a process with strong communication skills is preferred Strong analytical, interpretive, and problem-solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas Ability to compress large amounts of data into short and concise presentations with sound business conclusions Ability to develop elegant and common-sense solutions to complex business challenges Excellent analytical skills with the ability to comprehend and explain data / concepts in a clear and concise manner Strong knowledge of programming language like: SAS, SQL, Python, and R Proficient in Excel & PowerPointPreferred qualifications, capabilities and skills
2 years of experience in Fraud risk roles preferred Experience with Fraud Wrongdoers, Mules and 1st party fraudsters/ID theft Strong P&L knowledge and understanding of drivers of profitability Demonstrated experience with data analysis, designing & analyzing experiments, and Modeling A bachelor's degree in Finance, Accounting, Economics, Statistics or equivalent work experience preferred-
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