Quantitative Developer

Location: Toronto, ON

Work Model: Hybrid – 4 days per week in-office

Compensation: Competitive base salary commensurate with experience, with flexibility for top talent, plus a high-performance discretionary bonus

About the Role

Our financial services client is seeking two Quantitative Developers to join its Quantitative Research & Development (QRD) team. The team develops quantitative models, pricing frameworks, and technology solutions that support Financial Markets.

This is a quant-first position with hands-on development responsibilities. The ideal candidate will have a strong quantitative and mathematical foundation combined with the ability to develop and implement practical solutions.

The team values candidates with quantitative expertise who can strengthen their software development skills over time. Candidates with strong quantitative backgrounds and C or C++ development experience may also be considered.

Key Responsibilities

• Develop and implement quantitative models and analytics for derivatives and other financial products.
• Build and maintain applications supporting pricing, valuation, trading, and risk management.
• Translate quantitative and business requirements into technical solutions.
• Contribute to trading systems, including market data, trade capture, booking, and risk functionality.
• Test, validate, document, deploy, and support production applications.
• Investigate pricing and risk discrepancies across systems.
• Improve application performance, reliability, automation, and data quality.
• Collaborate with quantitative analysts, traders, risk managers, and developers.
• Participate in new product and business initiatives across Capital Markets.

Required Qualifications & Technical Skills

• Master's or PhD in a quantitative discipline such as: Financial Engineering; Mathematics; Physics; Computer Science; Engineering
• Strong quantitative knowledge, including areas such as: Probability; Statistics; Calculus; Linear algebra; Numerical methods; Stochastic processes
• Hands-on programming experience with the ability to implement quantitative solutions.
• Understanding of derivatives, pricing, valuation, risk sensitivities, and financial products.
• Strong analytical, mathematical, and problem-solving capabilities.
• Ability to understand and implement quantitative models in practical financial applications.
• Interest in working across both quantitative and technical disciplines.
• Financial-industry or academic quantitative experience is strongly preferred.
• Experience with financial markets, trading, pricing, valuation, or risk applications is highly valuable.