Sr. Fraud Business Intelligence Analyst

Work Location:

Remote Mount Laurel (NJ)

Hours:

40

Pay Details:

$86,840 - $130,000 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. The included salary range for this role takes into account multiple factors that are considered in making compensation decisions. The base pay actually offered may vary based upon candidate's skills and experience, job-related knowledge, licensure and certifications, geographic location, and other specific business and organizational needs. As TD puts career development at the forefront of our colleague experience, it is not typical for an individual to be hired at or near the top of the range for their role.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Line of Business:

Sales & Customer Distribution Support

Job Description:

The Sr. Fraud Business Intelligence Analyst also known at TD Bank as The Fraud Business Strategy Specialist is responsible for creating reports and dashboards for our various different partners across the US Fraud division while using various tools such as: SAS, Tableau, SQL, and Python to support to all of our different lines of products. Sr. Fraud Business Intelligence Analyst will be responsible of creating ETL process as well as dashboards and reporting using Tableau and will be writing high quality SQL and SAS codes to retrieve and analyze data from different database tables. Sr. Fraud Business Intelligence Analyst will also be developing queries and visualization for ad-hoc request and projects, as well as ongoing reporting. In addition to leading the design, development, and management of our analytical tools and reporting. Sr. Fraud Business Intelligence Analyst will provide thought leadership and business analysis support as needed.

This position is a Remote opportunity working Monday - Friday 9:00am to 5:30pm

Depth & Scope:

• Oversight of fraud attacks and trends impacting identified area

• Partners with senior leadership to implement countermeasures in accordance with strategic goals

• Participates in quarterly & annual fraud loss, and operational capacity forecasting exercises

• Implements procedure and project changes

• Adheres to Change Management protocols

• Leverages business level reporting to identify fraud trends and provide insight based on area of oversight

• Supports project development, intent & ongoing partner projects; provide risk identification and support the development of business insight for the project

• Supports projects/ change by leveraging fraud expertise to help define fraud resilient products through the development of business level requirements and processes

• Provides post launch Project and IT/ technology validation and issue management to ensure business and or fraud requirements are met

• Ensures Fraud policy/process alignment & implementation for both fraud and supported business lines

• Provides monthly business partner loss/operational performance updates and participate in review sessions

• May be responsible for the day to day management of Fraud vendors

• When working on formal projects, expectation is these projects are a moderate cost and risk rating/tier

Education & Experience:

• Bachelor's degree in a related discipline

• 3-5 years of work experience in a related capacity

• Experience in fraud management preferred

• Proficient with Microsoft Office applications; Advanced Excel preferred

• Strong communication skills and a proven ability to develop effective relationships with external and internal business partners are required

• Skilled in managing budgets, P&L and resource allocation

• Ability to handle confidential information with discretion

Preferred Qualifications:

• Deep Understanding and hands on Experience working with Tools such as Tableau & Power BI

• Experience with use of Relational Database and the process of Extract Transform Load (ETL) using common language such SQL or SAS

• Expert Knowledge of various data source, tools and technologies used in preparing and summarizing reports

• Strong Analytical and program solving skills to interpret data and draw conclusions

• Demonstrated time management and organizational skills with the ability to prioritize and manage multiple initiatives to meet deadlines while ensuring high