Modelling/Forecasting Sr. Analyst - Business Platform Strategy & Support

Work Location:

Charlotte, 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:

The Platform Delivery Team is responsible for coordinating and/or testing changes or enhancements to the components of the MLE Platform (Model Lifecycle Environment), a Linux based platform running SAS Analytics software. They promote framework and model changes, as well as support both pre-cycle and in-cycle processes across model execution and model development and help support SAS, On-Prem servers/processes, and Azure infrastructure. The Platform Delivery Team helps facilitate appropriate access to Azure, manages appropriate groups and roles in Active Directory and SAS metadata, and monitors platform storage. This team partners with the Information Technology (IT) team to ensure the MLE Platform operates efficiently with minimal disruptions and assists in troubleshooting issues as they arise. This team also explores opportunities to expand the platform's usability through new hardware and toolsets.

The Modelling/Forecasting Specialist contributes to strategic technical planning and identify opportunities to support business strategy. Expert role which provides technical leadership to others in the development of a broad range of complex models that support business needs.

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 Qualifications:

• 2+ years using Linux based systems preferred
• Knowledgeable in various types of storage Lustre, Netapp NAS, NFS preferred
• Experience working on/managing technical projects a plus
• Knowledge of SDLC processes and best practices preferred
• Experience working with cloud infrastructure is a plus
• Understanding of Information Security best practices is a plus
• SAS Analytics, Python and scripting is preferred

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: