Senior Quant Analytics: Risk Modeling & Valuation

Manulife/John Hancock

Toronto

Hybrid

CAD 74,000 - 123,000

Full time

3 days ago
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Benefits offered by this job

Health and dental insurance
Pension plan with employer matching
Paid time off and holidays

Job summary

Manulife/John Hancock is seeking a Senior Quantitative Analyst to design and implement quantitative models for liability valuation, pricing, and risk reporting. The role focuses on model development, calibration, documentation, and cross‑functional collaboration with business units and senior management.

The candidate will work in a hybrid Toronto setting, leveraging Python, Excel, VBA, and SQL to deliver robust analytical solutions while staying at the forefront of financial modelling through

Qualifications

  • Master's or PhD in Quantitative/Mathematical Finance, Mathematics, Statistics, or related field.
  • Experience in stochastic modelling and knowledge of financial instruments and risk management principles.
  • Proficiency in Python, Excel, VBA and SQL; strong documentation skills.

Responsibilities

  • Develop sophisticated models to generate economic scenarios for multiple asset classes.
  • Innovate calibration methodologies and tools for model inputs.
  • Maintain transparency and document risk models and processes for audits.
  • Lead continuous improvement initiatives within the risk modeling function.
  • Collaborate on ad-hoc projects providing quantitative expertise to stakeholders.
  • Stay current with academic literature and industry workshops/conferences.

Skills

Analytical thinking
Problem solving
Communication
Documentation
Stakeholder management

Education

Master's or PhD in Quantitative/Mathematical Finance
Statistics background

Tools

Python
Excel
VBA
SQL

Job description

Manulife/John Hancock is seeking a Senior Quantitative Analyst to design and implement quantitative models for liability valuation, pricing, and risk reporting. The role focuses on model development, calibration, documentation, and cross‑functional collaboration with business units and senior management.

The candidate will work in a hybrid Toronto setting, leveraging Python, Excel, VBA, and SQL to deliver robust analytical solutions while staying at the forefront of financial modelling through

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