Modelling/Forecasting - Sr. Analyst - Treasury Support & Solutions

Work Location:

Greenville, North Carolina, United States of America

Hours:

40

Pay Details:

$76,128 - $124,800 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:

Department Overview:

Currently this team supports the development of the monthly IRR aggregation process that will produce a Net Interest Income Sensitivity dynamic balance sheet. Current strengths of the team include knowledge of governance processes, documentation skills, and reporting capabilities. This group also works on implementation and innovation of new and changing processes to support the overall Treasury function.

Depth & Scope:

• Acts as a subject matter expert within their own area of specialization
• May serve as an escalation or process reference within field of specialty
• Acts an information resource for others in their own area
• Solves complex problems requiring analysis of multiple variables, which may include consultation with numerous stakeholders
• Focuses on short to medium-term (weekly-monthly), non-routine specialized/complex issues and/or escalated matters
• Independently perform functions/activities from end-to-end

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;
• 3+ year of relevant experience; higher degree education and research tenure can be counted

Preferred Experience:

• SAS, Python, Jira/Confluence, Workiva experience
• Banking and/or Financial Services experience
• Successful Completion of NEET Program, encompassing technical training on SAS Programming, Risk Solution Architecture, the Model Development Life Cycle (MDLC), testing methodologies, and banking and risk management topics including liquidity risk and interest rate risk management techniques.
• Up to date and proficient and in the use of MLE's JIRA instance for project management and issue tracking.

Customer Accountabilities:

• Works closely with business owners to identify opportunities and serves as an ambassador for data modelling
• Translates business requirements into technical requirements
• Ensures core Bank and source systems, data and metadata are appropriately managed to support business requirements/needs
• Develops and/or designs data solutions and conducts reviews of data models and outputs to validate and test quality of information/solutions
• Works closely with cross functional teams of data scientists and business process owners to deliver cutting edge analytic solutions
• Designs and delivers enterprise analytic solutions for the businesses
• Works in a highly interactive and team-oriented environment with Data Scientists and visualization experts

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
• Conducts internal and external research projects; supports the development/delivery of presentations/communications to management or broader audience
• Conducts meanin