Fraud Modelling/Forecasting Specialist (with Data Graph Expertise)

Work Location:

Hours:

Pay Details:

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. 

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:

Job Description:

The Fraud Modeling/Forecasting Specialist (with Graph Data Expertise) leverages a solid understanding of graph theory and advanced analytics to develop innovative fraud detection models and strategies across multiple products. Responsibilities include close collaboration with cross-functional teams to design, implement, and monitor fraud mitigation solutions, using cutting-edge graph technologies such as Databricks and TigerGraph. The position entails analyzing complex data structures, identifying trends, and continuously looking for new opportunities and data sources to enhance fraud detection capabilities. The ideal candidate will have strong experience in fraud detection, a deep understanding of graph databases, and a passion for solving complex problems in a rapidly changing environment.

This is a Remote career opportunity with less than 10% travel requirements.

Monday-Friday 8:00am to 5:00pm Eastern Standard Time

Depth & Scope:

• Acts as a subject matter expert integrating cross function understanding within their own field of specialty

• Works autonomously and accountable for acting as a lead within a specialized analytics function and may provide work direction to others

• Provides seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members

• Expert at utilizing data sources across the organization with ability to integrate data across multiple platforms

• Works effectively across multiple business units with numerous stakeholders to deliver advanced analytics solutions

• Scope of role may have business segment and/or enterprise impact

• General focus on broad range of complex issues that may span from medium – long term issues (e.g. 6-12 months)

Education & Experience:

• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience, or;

• 5+ year …