Quant Developer/Equity Trading/Python - RBC - Hybrid/NYC, Jersey City, NJ or Toronto, ON - 1 year+

Job Description:

RBC is seeking a Quantitative Developer to join its Equities technology team in Jersey City, responsible for designing and delivering scalable, high-performance quantitative solutions that support trading, analytics, and research functions; this role requires strong subject matter expertise in equities along with hands-on quant development experience, including building and optimizing models, developing data pipelines, and partnering closely with traders, quants, and technology stakeholders to translate complex business requirements into robust technical solutions; the ideal candidate will have 10+ years of experience (flexible across levels), with strong proficiency in Python (3+ years), deep experience with SQL databases such as PostgreSQL and MySQL, and a solid background in RESTful API design and microservices architecture, along with exposure to modern development practices including LLM-assisted development, and will demonstrate the ability to work in fast-paced, data-driven environments while contributing to the evolution of RBC’s quantitative platforms and engineering standards.

Must be a quat developer - they convert Trading Quat Models into applications that the business can use.

Quantitative Developer – Equities (Python Focus)

Location: Jersey City, NJ
Team: Equities Technology

We are seeking a Quantitative Developer to join our Equities Technology team, responsible for designing and delivering scalable, high-performance quantitative solutions that support trading, analytics, and research functions. This role sits at the intersection of quantitative research, trading, and engineering, translating advanced equity trading models into production-grade applications used by the business.

You will work closely with PhD-level quantitative researchers, traders, and technology stakeholders to implement, optimize, and scale equity trading models in a fast-paced, data-driven environment.

Key Responsibilities

• Partner with quantitative researchers to translate equity trading models into robust, production-ready applications
• Design and build scalable, high-performance systems supporting trading, analytics, and research workflows
• Develop and optimize quantitative models and libraries in Python
• Build and maintain data pipelines for large-scale financial datasets
• Design and implement RESTful APIs and microservices to expose model outputs and analytics
• Collaborate with traders and business stakeholders to gather requirements and deliver technical solutions
• Improve system performance, reliability, and scalability across the equities platform
• Contribute to engineering best practices, including testing, CI/CD, and modern development workflows (including LLM-assisted development)

Required Qualifications

• 10+ years of experience in quantitative development or related field (flexible across levels for strong candidates)
• Strong experience as a Quantitative Developer, specifically working with equity trading models
• Proven ability to convert quantitative models into production applications
• Advanced proficiency in Python (3+ years required, more preferred)
• Strong experience with SQL databases (PostgreSQL, MySQL)
• Experience designing and building RESTful APIs and microservices architectures
• Solid understanding of equities markets, instruments, and trading workflows
• Experience working with PhD-level quants and complex mathematical models
• Strong problem-solving skills and ability to work in fast-paced trading environments

Preferred Qualifications

• Experience with performance optimization and low-latency systems
• Familiarity with distributed systems and cloud platforms
• Exposure to modern development practices, including LLM-assisted coding tools
• Background in financial engineering, mathematics, or related quantitative field

What You’ll Bring

• Ability to bridge the gap between quant research and production engineering
• Strong communication skills to work effectively across quants, traders, and engineers
• A mindset focused on scalability, performance, and reliability
• Comfort operating in a high-impact, front-office environment

Additional Context

• Multiple openings (10+) with a strong emphasis on Python-based development
• Core focus: building applications from trading models, not just model research
• Opportunity to influence the evolution of the firm’s quantitative platforms and engineering standards