Quantitative Developer

Finance Professionals Inc.; Toronto; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

A leading financial institution in Downtown Toronto is seeking a Quantitative Developer to create and implement valuation models for interest rate and credit derivatives. The role requires strong programming skills in Python and C++, alongside a solid background in quantitative fields. The successful candidate will work closely with business stakeholders and contribute to a high-performance, inclusive environment.

Qualifications

• 3+ years of experience in interest rate derivatives or credit derivatives and their valuation models.
• Strong programming skills in Python and C++, C++11 or higher.
• Good communication and interpersonal skills; a team player.

Responsibilities

• Develop valuation models for interest rate derivatives and credit derivatives.
• Provide quantitative support related to valuation, risks, and P&L attribution.
• Ensure effective operations within respective areas, adhering to business controls.

Skills

PDE

Monte Carlo methods

Stochastic calculus

Python

C++

Communication

Interpersonal skills

Team player

Adaptability

Education

PhD or Master’s Degree in Mathematics

Computer Science

Software Engineering

Physics

Job description

JOB DESCRIPTION

Location: Hybrid (Downtown, Toronto)

Duration: 1-year

Our client, a leading financial institution in Downtown Toronto, is looking for a Quantitative Developer to develop valuation models for interest rate derivatives, credit derivatives, and MBS. The role involves ensuring the theoretical soundness, numerical accuracy, and correct implementation of these models. The successful candidate will have the opportunity to work with one of the Top 5 Banks in Canada.

Typical Day in Role:

1. Champion a customer-focused culture to deepen client relationships and leverage broader bank relationships, systems, and knowledge.
2. Develop robust, reliable, and user-friendly front office analytics for pricing, hedging, risk management, and P&L attribution for both intraday and end-of-day.
3. Provide daily and on-demand quantitative support to the business related to valuation, risks, P&L attribution, hedging, etc.
4. Provide subject matter expertise to model stakeholders such as the business, risk management, audit, product control, and technology groups during and after model implementation.
5. Form a close partnership with the business to deliver models and analytics to production end-to-end with limited supervision.
6. Understand how the bank’s risk appetite and culture should influence day-to-day activities and decisions.
7. Ensure effective and efficient operations within respective areas, maintaining adherence to and effectiveness of business controls to meet operational, regulatory, AML/ATF, and conduct risk obligations, including responsibilities under relevant risk management frameworks and guidelines.
8. Champion a high-performance environment and contribute to an inclusive work environment.

Must-Have Skills:

• 3+ years of experience in interest rate derivatives or credit derivatives and their valuation models.
• Solid background in PDE, Monte Carlo methods, and stochastic calculus.
• Strong programming skills in Python and C++, C++11 or higher.
• Good communication and interpersonal skills; a team player.
• Ability to work effectively in a fast-paced environment with changing priorities.

Education:

• PhD or Master’s Degree in Mathematics, Computer Science, Software Engineering, Physics, or other quantitative fields.

We are committed to creating an inclusive environment where all team members and clients feel they belong. We welcome applicants of all abilities and backgrounds, providing an accessible candidate experience. We advocate for diversity and inclusion regardless of race, color, religion, national origin, sex, disability, or age.