Quantitative Developer

Toronto, ON
Hybrid
Posted Oct 9, 2026
1 position

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Employment type: Full-time
Experience level: Senior · 5+ years
Minimum education: Master’s degree
Posting language: English
Working hours: 40 hours per week
Office presence: 4 days per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Develop quantitative models and applications for pricing, valuation, trading, and risk management, and contribute to trading systems and new Capital Markets initiatives. Test, deploy, and support production applications while investigating discrepancies and improving performance, reliability, automation, and data quality in collaboration with cross-functional teams.

Job details

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.

What you’ll do

Requirements

A master's or PhD in a quantitative discipline, strong mathematical and quantitative knowledge, and hands-on programming experience are required. Candidates should understand derivatives, pricing, valuation, and risk sensitivities; financial-industry or academic quantitative experience is strongly preferred.