Sr. Analyst, Existing Customer Management

The ECM Fraud Team focuses on transaction fraud strategy. The team is heavily involved in mitigating losses and securing our portfolio while maintaining desired levels of customer experience. The team also partners with other business units to drive long-term change to keep our customers secure.

The Sr. Analyst (Fraud Analytics) position works with the fraud operations and implementation teams. This role will focus on identifying fraud patterns, investigating the root cause(s) and assisting with the development of strategies to mitigate authorization fraud risk.The role will also focus on visualizing fraud patterns and alerting partners to effectively manage risk across the organization.

Essential Functions:

• Strong capability to handle complicated data with programming languages (SQL, SAS, Python, etc.), like transaction level data, and solid analytical skill to apply data driven insights and solutions into strategy development and analytics to solve fraud issue.
• Innovate and develop the fraud strategy and rules to mitigate fraud risk and continue to improve the customer experience.
• Monitor and tracks fraud trends and visualize using dashboarding tools.
• Ability to problem solve; utilize analysis and data interpretation to derive meaningful and actionable insights and present it to leadership.
• Identify opportunities and new fraud patterns and reacts promptly with proposal and solution to cease the losses.

Education and Experience:

• Bachelor s degree in analytical or quantitative disciplines such as Statistics, Math, Operations Research is required. A master s degree in these or related fields is preferred.
• Five (5) years experience in transaction fraud prevention role and detection or data analytics for a Credit Card company or Consumer Finance is required.

Summary of Qualifications:

• Quantitative modeling including machine learning experience is preferred.
• Being a team player to be able to work collaboratively within risk and cross functions.
• Proficiency in SAS/SQL/Python coding skills and experience working on complicated transaction level data for analytical purposes is required.
• Capability to work efficiently on transaction level data and develops fraud prevention strategies with analytical and data support.
• Ability to use data visualization tools like Power BI and Tableau to automate monitoring.
• Attention to details and problem solver.
• Self starter with demonstrated analytical skills and the ability to effectively communicate complex issues and solutions.
• Previous experience in fraud rule writing a plus.
• SAS certifications a plus.

Work Environment/Physical Demands: Light

The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

This is largely a sedentary role; however, some filing is required. This would require the ability to lift files, open filing cabinets and bend or stand on a stool as necessary.

Security Responsibilities - General:

This classification requires heightened security awareness to safeguard the Bank's data, including customer non-public personal information. This security level means that the job includes exposure to all categories of Bank data, including customer non-public personal information.

General Disclosure:

The above statements reflect the general information considered necessary to describe the principal functions of the job and should not be considered as a detailed description of all work requirements that may be inherent to the position. In addition, the incumbent may be called upon to personally handle projects or assignments not usually related to the position s day-to-day activities. Understand and comply with laws and regulations that are applicable to my job function. Understand and comply with company policies and procedures that are applicable to my job function.