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TD Bank

Offers banking, loans, and wealth management.

Modelling/Forecasting Analyst

Quantitative RiskConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaCA$69.7k - CA$98.4kIn-person

About the Job

Requirements

  • Advanced quantitative skills and a post-secondary degree in one or more of the following: Statistics, Economics/Econometrics, Mathematics, Finance, Financial Engineering, or Financial Risk Management.
  • CFA or FRM charterholder status or candidacy is preferred; qualifications in data risk management or operational risk management are an asset.
  • Experience developing AI agent workflows to increase productivity is an asset.
  • Relevant work experience in a financial institution is required; experience in financial institution Treasury, business system analytics, or developing or validating large banking Treasury reporting systems is an asset.
  • Strong technical knowledge and proficiency in programming languages such as Python, SQL, SAS, and VBA. Familiarity with JSON and Scala is an asset.
  • Hands-on experience developing and implementing statistical forecasting models, such as time-series models.
  • Solid knowledge of financial products and portfolios, including cash flow patterns, factors affecting cash flows, and pricing and valuation approaches. Knowledge of financial or regulatory reporting in liquidity risk management is a plus.
  • Familiarity with data pipeline processes, banking data infrastructure, and data control and governance is an asset.
  • Strong technical writing and verbal communication skills are required.
  • An inquisitive approach, ability to ask relevant questions and escalate issues, and risk and control mindset with business acumen are assets.
  • Strong analytical and problem-solving skills, attention to detail, time-management and multitasking skills, and ability to work with minimal supervision.

Responsibilities

  • Support independent validation of Treasury and Balance Sheet Management Liquidity Risk Management models developed or owned by the Treasury and Balance Sheet Management group.
  • Execute comprehensive validation testing plans for different Liquidity Risk Management models in accordance with enterprise model validation procedures.
  • Review United States Liquidity Risk Management assessments of measurement choices, definitions, liquidity and business assumptions or decisions, and Business Requirement Documents for model implementation, assessing consistency with the approved approach.
  • Assess the soundness of statistical and mathematical algorithms and the choices of upstream valuation, cash flow generation, or customer behavior models against approved Liquidity Risk Management reporting methodology and assumptions.
  • Assess data quality and input-control and governance processes to determine whether model inputs are acceptable.
  • Conduct validation testing using comprehensive test cases to assess implementation accuracy from data enrichment through final model outputs and model performance.
  • Assess the adequacy of model governance and controls.
  • Develop an issue log of questions and limitations identified during validation, and communicate findings and issue severity to first-line stakeholders for resolution.
  • Draft model validation reports with sufficient information and justification to support conclusions and audits or regulatory review of the validation process and analysis.
  • Maintain and develop professional knowledge of quantitative analysis techniques and developments in Liquidity Risk Management, and share knowledge with business partners and senior management.
  • Support development of vetting and validation standards and procedures that comply with the bank's internal model risk policy, industry best practices, and regulatory requirements.
  • Support senior management in preparing responses to Canadian and United States regulator requests and internal or external audit reviews of risk models and validation processes and procedures.
  • Work with internal model development groups, audit, and other internal partners to ensure risk models meet bank standards.

Desired Qualifications

  • CFA or FRM charterholder status or candidacy; qualifications in data risk management or operational risk management.
  • Experience in financial institution Treasury, business system analytics, or development or validation of large banking Treasury reporting systems.
  • Experience developing AI agent workflows to increase productivity.
  • Familiarity with JSON and Scala.
  • Knowledge of financial or regulatory reporting in liquidity risk management.
  • Familiarity with data pipeline processes, banking data infrastructure, and data control and governance.
  • An inquisitive approach, ability to ask relevant questions and escalate issues, and risk and control mindset with business acumen.

About the Company

TD Bank

Offers banking, loans, and wealth management.

TD Bank provides a wide range of banking and financial services in North America for individuals, businesses, and corporations. Core offerings include checking and savings accounts, credit cards, loans, mortgages, investment products, and wealth management. TD Bank emphasizes digital banking through online and mobile apps that let customers manage money, pay bills, deposit checks, transfer funds, and manage cards. Revenue comes from interest on loans, service fees, and investment income. The company differentiates itself with a broad product lineup, large North American footprint, and integrated services for both personal and business customers, plus a focus on digital accessibility. Its goal is to be a leading, accessible financial institution that helps customers manage and grow their money through convenient, everyday banking and investment solutions.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1955

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