Quantitative Modeling Co-op (Hybrid)

Manulife Financial; Toronto; Hybrid; CAD 45,000 - 65,000; Full time

Benefits offered by this job

Hybrid work

Job summary

Manulife Financial in Toronto is seeking a Quantitative Analyst Co-op in Derivative and Asset Modeling to contribute to valuation model development, pricing tools, and risk analytics. You will support curve databases, model inventories, and ongoing performance assessments.

The role emphasizes strong programming in Python/C/C++/MATLAB, stochastic modeling, and the ability to work under deadlines in a hybrid arrangement.

Qualifications

• Advanced degree or active master's student in Math, Finance, Physics, Engineering, Statistics, Actuarial Science, etc.
• Solid understanding in quantitative finance and contingent claim theory, pricing of fixed income, interest rate and equity derivatives.
• Programming experience in Python, C/C++, MATLAB, VB/VBA; object-oriented programming preferred.
• Knowledge in stochastic modeling and numerical optimization techniques.
• Ability to analyze problems, research solutions and implement them.

Responsibilities

• Support development and enhancement of valuation curves, derivative and asset models, and pricing tools.
• Assist in monitoring, reviewing, and assessing model performance and curves.
• Support maintenance of tools, curve database, and model inventory.
• Contribute to ad hoc initiatives across model development, validation, and implementation.
• Support market data research, analysis, and validation efforts.

Skills

Quantitative finance knowledge

Stochastic modeling

Self-starter

Analytical mindset

Communication skills

Education

Master’s degree (or in master’s program) in Math/Finance/Engineering/Statistics

Tools

Python

C/C++

MATLAB

VB/VBA

Job description

Manulife Financial in Toronto is seeking a Quantitative Analyst Co-op in Derivative and Asset Modeling to contribute to valuation model development, pricing tools, and risk analytics. You will support curve databases, model inventories, and ongoing performance assessments.

The role emphasizes strong programming in Python/C/C++/MATLAB, stochastic modeling, and the ability to work under deadlines in a hybrid arrangement.