Manager of Fraud Analytics (SAS, SQL, Python)

$86,840 - $139,360/Yr

TD Bank - Greenville, SC

Full-time - Manager

Remote - Greenville, SC

Credit Intermediation and Related Activities

About the position

The Manager of Fraud Analytics (SAS, SQL, Python) at TD Bank, also referred to as the Manager, Fraud Performance Management, plays a crucial role in overseeing various products and business channels with the primary objective of minimizing fraud losses and identifying fraud patterns. This position is pivotal in developing and implementing fraud strategies that effectively mitigate losses while considering the impacts on customers and operations. The manager will be responsible for reporting on overall fraud losses and trends, as well as monitoring the performance of fraud rule strategies. Utilizing their expertise in SQL, the manager will reconcile numerous metrics and summarize findings for executives and business partners, ensuring that the organization is well-informed about fraud-related issues. In this role, the manager will provide leadership in people management by hiring top talent, setting performance goals, developing staff, and making compensation decisions. They will also handle disciplinary actions as necessary. The manager will review fraud attacks to identify and address coverage gaps, participate in fraud loss forecasting exercises, and develop insights and rules to meet fraud loss plans. Additionally, they will manage shifting network rules and liability requirements, uncover process gaps, and provide alert support to address emerging threats. The position also involves managing strategy design and configuration in various fraud prevention platforms, ensuring adherence to change management protocols, and participating in operational forecasting and capacity planning. The manager will prioritize fraud cases to optimize return on investment and collaborate with defect managers to identify and remediate coverage gaps. They will identify key reporting needs to manage fraud losses and support existing monitoring by refreshing reports as data or requirements change. Furthermore, the manager will support ongoing partner projects, provide risk identification and cost estimates, and ensure alignment with fraud policies. They will outline data needs for rule-writing, review potential technology investments, and manage model prioritization and implementation. The role also includes managing external relationships with various industry forums and vendors, ensuring that TD Bank maintains a strong presence in the fraud management landscape.

Responsibilities

• Oversee products and business channels to minimize fraud losses and identify fraud patterns.
• Develop and implement fraud strategies to mitigate losses while balancing customer and operational impacts.
• Report on overall fraud losses and trends, monitoring rule strategy performance.
• Utilize SQL to reconcile metrics and summarize findings for executives and business partners.
• Provide leadership in people management, including hiring, goal setting, and performance management.
• Review fraud attacks to identify and address coverage gaps.
• Participate in quarterly and annual fraud loss forecasting exercises.
• Develop insights and rules to deliver on fraud loss plans.
• Manage shifting network rules and liability requirements.
• Uncover and resolve process gaps throughout the bank.
• Provide alert support to address emerging threats.
• Manage strategy design and configuration in fraud prevention platforms.
• Participate in operational forecasting and capacity planning.
• Manage fraud case prioritization strategy to optimize return-on-investment.
• Identify and address key reporting needs to manage fraud losses.
• Support ongoing partner projects and provide risk identification and cost estimates.
• Outline data needs for rule-writing and effective management.
• Manage external relationships with industry forums and fraud vendors.

Requirements

• Bachelor's Degree in a related discipline (e.g. Math, Statistics, Business) is required.
• Master's Degree in a related discipline is preferred.
• 7+ years of relevant experience in fraud analytics or related fields.
• Experience with SQL/SAS/Data manipulation tools is required.
• Experience in Python is preferred.
• Previous experience with fraud management is preferred.
• Solid understanding of TD Products and Channels is necessary.
• People management experience is an asset.
• Proven ability to develop effective relationships with internal and external business partners is required.
• Strong interpersonal skills and ability to communicate complex analyses effectively.
• Ability to take initiative and work independently under tight timelines.
• Strong team collaboration skills and ability to manage multiple projects simultaneously.

Nice-to-haves

• Experience with fraud prevention platforms such as Falcon, TSYS, FIS, etc.
• Knowledge of systems and processes related to fraud management.

Benefits

• Comprehensive health insurance coverage.
• 401k retirement savings plan with matching contributions.
• Paid time off and holidays.
• Professional development opportunities.
• Flexible work hours and remote work options.