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Modelling / Forecasting Senior Analyst (Quants)

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TD Bank

10d ago

  • Job
    Full-time
    Senior Level
  • Data
    Engineering
  • Toronto
  • Quick Apply

AI generated summary

  • You need 5+ years' experience, a relevant graduate degree, programming skills (C++, Python, R), knowledge of PDEs and stochastic processes, and strong communication abilities.
  • You will collaborate with teams to translate business needs into data models, deliver analytic solutions, manage data quality, solve complex problems, and enhance operational efficiency.

Requirements

  • 5+ years relevant experience
  • Solid technical training with a graduate degree in science or engineering such as physics, chemistry, mathematics/statistics, computer science/engineering, Master of Mathematical Finance, or a similar discipline where mathematical modeling techniques are systematically studied and applied.
  • Familiarity with PDEs, stochastic processes, and simulation.
  • Strong programming skills in one or more widely used languages such as C/C++/C#, VBA, python, Matlab, R, etc.
  • Knowledge of fundamental concepts and techniques in quantitative finance or strong interests in financial markets and associated modeling techniques
  • Must be a team player with a focus on getting projects done effectively and efficiently
  • Good written and verbal communication skills is a definite asset
  • Prior knowledge or experience in quantitative finance and counterparty credit risk is an asset but not required

Responsibilities

  • Work closely with business owners to identify opportunities and serve as an ambassador for data modelling
  • Translate business requirements into technical requirements
  • Work closely with cross functional teams of data scientists and business process owners to deliver cutting edge analytic solutions
  • Design and deliver enterprise analytic solutions for the businesses
  • Work in a highly interactive and team-oriented environment with Data Scientists and Visualization experts
  • Ensure core Bank and source systems, data and metadata is appropriately managed to support business requirements / needs
  • Develop and/or design data solutions and conduct reviews of data models and outputs to validate and test quality of information / solutions
  • Continuously enhance knowledge / expertise in own area and keep current on emerging trends /developments and grow knowledge of the business, analytical tools and techniques
  • Prioritize and manage own workload to deliver quality results and meet assigned timelines
  • Support a positive work environment that promotes service to the business, quality, innovation, and teamwork and ensure timely communication of issues/ points of interest
  • Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency
  • Establish effective relationships across multiple business and technology partners, program and project managers
  • Participate in knowledge transfer within the team and business units
  • Act as a subject matter expert within their own area of specialization
  • May serve as an escalation or process reference within field of specialty
  • Act as an information resource for others in their own area
  • Solve complex problems requiring analysis of multiple variables, which may include consultation with numerous stakeholders
  • Focus on short to medium-term (weekly-monthly), non-routine specialized/ complex issues and/or escalated matters
  • Independently perform functions/activities from end to end
  • Generally reports to a Senior / Manager role

FAQs

What is the location for this job?

The job is located in Canada.

What are the working hours for this position?

The working hours for this position are 37.5 hours per week.

What is the job title for this role?

The job title is Modelling / Forecasting Senior Analyst (Quants).

What experience is required for this position?

A minimum of 5+ years relevant experience is required.

What educational background is preferred for this role?

A graduate degree in science or engineering, such as physics, chemistry, mathematics/statistics, computer science/engineering, or a similar discipline, is preferred.

Are programming skills required for this position?

Yes, strong programming skills in one or more widely used languages such as C/C++/C#, VBA, Python, Matlab, or R are required.

Is prior knowledge of quantitative finance necessary for this role?

While prior knowledge or experience in quantitative finance and counterparty credit risk is an asset, it is not required.

What core responsibilities will this job entail?

Core responsibilities include working with business owners to identify opportunities, translating business requirements into technical requirements, and designing and delivering enterprise analytic solutions.

Will I be working in a team environment?

Yes, you will be working in a highly interactive and team-oriented environment with Data Scientists and Visualization experts.

What are the total rewards offered for this position?

The Total Rewards package includes a base salary, variable compensation, health and well-being benefits, savings and retirement programs, paid time off, and various career development opportunities.

Is training provided for this role?

Yes, training and onboarding sessions will be provided to ensure your success in the new role.

How does the interview process work?

Candidates of interest will be contacted to schedule an interview, with efforts made to communicate outcomes to all applicants.

Can accommodations be requested during the interview process?

Yes, candidates can request accommodations, such as accessible meeting rooms or captioning for virtual interviews, to participate in the interview process.

TD Bank

Finance
Industry
10,001+
Employees

Mission & Purpose

Headquartered in Toronto, Canada, the Toronto-Dominion Bank and its subsidiaries are collectively known as TD Bank Group (TD). TD had CDN$1.9 trillion in assets on July 31, 2023. TD also ranks among the world’s leading online financial services firms, with more than 16 million active online and mobile customers. TD offers a full range of financial products and services to over 27.5 million customers worldwide through four key business lines: - Canadian Personal and Commercial Banking including TD Canada Trust, Business Banking, and MBNA - U.S. Retail including TD Bank, America’s Most Convenient Bank, TD Auto Finance (U.S.), TD Wealth (U.S.) and TD’s investment in Schwab - Wealth Management & Insurance including TD Wealth (Canada), TD Direct Investing, and TD Insurance - Wholesale Banking including TD Securities and TD Cowen