Statistical Fraud Model Business Coordinator

Work Location:

Wilmington, Delaware, United States of America

Hours:

40

Pay Details:

$119,080 - $155,376 USD

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:

Analytics, Insights, & Artificial Intelligence

Job Description:

The Statistical Fraud Model Business Coordinator will be responsible for contributing to strategic technical planning and identifies opportunities to support Fraud detection and prevention business strategy. They are responsible for managing the fraud model inventory, ensuring compliance, and maintaining healthy model performance.

The role involves collaboration with Model Validation, Model Development, Compliance, vendors, and business units to set priorities for model lifecycle work. This includes ensuring timely completion of required documentation and efficient implementation of new models.

As a subject matter expert, the coordinator understands model development, model limitations, fraud tagging, and assists in the development of model monitoring plans. The coordinator also ensures model developers have access to relevant data, reviews documentation for accuracy, and assists in resolving issues and conducting root cause analyses.

This is a Remote Opportunity

Monday- Friday

8:00am to 5:00pm

 

*You must be work authorized in the United States without the need for employer sponsorship.*

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 of relevant experience; higher degree education and research tenure can be counted.
• A Master's Degree in a related discipline (e.g. Math, Statistics) is preferred.

Customer Accountabilities:

• Works closely with business management on data modelling requests/activities to ensure alignment with overall strategies
• Leads the activities related to delivery of data deliverables - data package, data model, and data mappings
• Responsible for reading business and technical requirements to ensure data deliverables meet business needs
• Conducts walkthroughs of all data deliverables to aid approval/sign-off process with internal stakeholders

Shareholder Accountabilities:

• Adheres to enterprise frameworks or methodologies that relate to activities for our business area
• Ensures respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities
• Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations