Sr. Fraud Business Intelligence Analyst (SAS, SQL, Python, Tableau)

$86,840 - $139,360/Yr

TD Bank - Greenville, SC

Full-time - Mid Level

Remote - Greenville, SC

Credit Intermediation and Related Activities

About the position

The Sr. Fraud Business Intelligence Analyst, also known at TD Bank as The Fraud Business Strategy Specialist, plays a crucial role in the US Fraud division by creating reports and dashboards for various partners. This position requires proficiency in tools such as SAS, Tableau, SQL, and Python to support different product lines. The analyst will be responsible for developing ETL processes, dashboards, and reporting using Tableau, as well as writing high-quality SQL and SAS code to retrieve and analyze data from various database tables. Additionally, the analyst will handle ad-hoc requests and projects, providing ongoing reporting and leading the design, development, and management of analytical tools and reporting systems. Thought leadership and business analysis support are also key components of this role. This position is primarily remote, but candidates are required to attend in-office meetings once a quarter at designated locations, including New Jersey, Maine, South Carolina, North Carolina, Maryland, Massachusetts, Florida, and Connecticut. The working hours are Monday to Friday, from 8:00 AM to 5:00 PM. Candidates must be authorized to work in the United States without the need for employer sponsorship. The role involves oversight of fraud attacks and trends, partnering with senior leadership to implement countermeasures aligned with strategic goals, and participating in forecasting exercises related to fraud loss and operational capacity. The analyst will implement procedure and project changes, adhere to Change Management protocols, and leverage business-level reporting to identify fraud trends. They will also support project development and provide risk identification and business insight for ongoing projects, ensuring alignment with fraud policies and processes. Monthly updates on business partner loss and operational performance will be provided, and the analyst may manage day-to-day operations of fraud vendors as needed.

Responsibilities

• Create reports and dashboards for various partners across the US Fraud division.
• Develop ETL processes and dashboards using Tableau.
• Write high-quality SQL and SAS code to retrieve and analyze data from different database tables.
• Develop queries and visualizations for ad-hoc requests and projects.
• Lead the design, development, and management of analytical tools and reporting.
• Provide thought leadership and business analysis support as needed.
• Oversee fraud attacks and trends impacting identified areas.
• Partner with senior leadership to implement countermeasures in accordance with strategic goals.
• Participate in quarterly and annual fraud loss and operational capacity forecasting exercises.
• Implement procedure and project changes and adhere to Change Management protocols.
• Leverage business-level reporting to identify fraud trends and provide insights.
• Support project development and provide risk identification and business insight for projects.
• Ensure fraud policy/process alignment and implementation for both fraud and supported business lines.
• Provide monthly business partner loss and operational performance updates and participate in review sessions.

Requirements

• Bachelor's degree in a related discipline.
• 3-5 years of work experience in a related capacity.
• Experience with SAS, SQL, Tableau, and Python preferred.
• Experience in fraud management preferred.
• Proficient with Microsoft Office applications; Advanced Excel preferred.
• Strong communication skills and ability to develop effective relationships with business partners.
• Skilled in managing budgets, P&L, and resource allocation.
• Ability to handle confidential information with discretion.

Nice-to-haves

• Undergraduate level education in Business, Computer Science, Mathematics, Economics, or other quantitative disciplines preferred.
• Deep understanding and hands-on experience with tools such as Tableau and Power BI preferred.
• Experience with relational databases and ETL processes using SQL or SAS preferred.
• Expert knowledge of various data sources, tools, and technologies used in preparing and summarizing reports preferred.
• Strong analytical and problem-solving skills to interpret data and draw conclusions preferred.
• Demonstrated time management and organizational skills with the ability to prioritize and manage multiple initiatives.