Modelling/Forecasting Senior Analyst (US) Retail Model Monitoring

Work Location:

Boston, Massachusetts, 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:

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.

Seeking a detail-oriented analyst to join Retail Model Performance Monitoring team. In this role, one will be responsible for monitoring the performance of various models used for allowance and stress testing, ensuring they meet predefined accuracy and efficacy standards. The ideal candidate will possess strong quantitative skills, programming/automation techniques and ability to collaborate with cross-functional and multi-geographical location teams.

Key Responsibilities:

• Monitor performance of PD/EAD/LGD models used for various regulatory usage
• Collaborate with Modeling analysts to align model process logic and data treatment.
• Support regular audits and validations of monitoring processes.
• Generate and automate reports and presentations summarizing performance metrices, actions and recommendations.

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:

• Proficient PC skills including a strong competency in MS Excel and PowerPoint, and a variety of analytical and reporting software packages
• Strong programming skills that enables process automation, i.e (MS VBA, Python)
• Advanced knowledge of SAS programming or other mainstream languages (i.e. SQL/ R), SAS certification a plus
• Ability to navigate multiple data warehouse platforms and different data environments 
• Understanding of Credit Risk Parameter Models PD/EAD/LGD and concepts of capital reserves, RWA and allowance.
• Strong analytical and program solving skills are required to interpret data and draw conclusions
• Excellent written and verbal communications skills

• Candidate should have knowledge of the Banking industry
• Experience or knowledge with retail lending and accounting standard for credit loss a plus
• Experience performing project costing or business case functions

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