Modelling/Forecasting Senior Analyst (US)

Work Location:

Wilmington, Delaware, United States of America

Hours:

40

Pay Details:

$76,128 - $114,192 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 Modelling/Forecasting Senior Analyst provides subject matter expertise and creates a broad range of data models by applying a variety of techniques to build out complex data models.

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
• Master’s or PhD degree, in Statistics, Econometrics, or related STEM field involving quantitative analysis/statistics.
• Must demonstrate professional experience, internship experience, and/or graduate-level coursework in each of the following:
• Hands-on model development using linear regression, logistic regression, time series
• Statistical analysis packages including SAS and R; Developing predictive models; Data research and analysis
• Programming in SAS and Python as applied to quantitative research, analysis, and modeling.

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 meaningful analysis at the functional or enterprise level using results to draw conclusions, makes recommendations, assesses the effectiveness of programs/policies/practices
• Monitors service, pr