Quantitative Developer – Equities (Python Focus)

Role: Quantitative Developer – Equities (Python Focus)Location: Jersey City, NJ , NY and Toronto, ON - Hybrid 3 Days OnsiteDuration: Long term Contract 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. Job Description: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 ResponsibilitiesPartner with quantitative researchers to translate equity trading models into robust, production-ready applicationsDesign and build scalable, high-performance systems supporting trading, analytics, and research workflowsDevelop and optimize quantitative models and libraries in PythonBuild and maintain data pipelines for large-scale financial datasetsDesign and implement RESTful APIs and microservices to expose model outputs and analyticsCollaborate with traders and business stakeholders to gather requirements and deliver technical solutionsImprove system performance, reliability, and scalability across the equities platformContribute to engineering best practices, including testing, CI/CD, and modern development workflows (including LLM-assisted development) Required Qualifications10+ 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 modelsProven ability to convert quantitative models into production applicationsAdvanced proficiency in Python (3+ years required, more preferred)Strong experience with SQL databases (PostgreSQL, MySQL)Experience designing and building RESTful APIs and microservices architecturesSolid understanding of equities markets, instruments, and trading workflowsExperience working with PhD-level quants and complex mathematical modelsStrong problem-solving skills and ability to work in fast-paced trading environmentsPreferred QualificationsExperience with performance optimization and low-latency systemsFamiliarity with distributed systems and cloud platformsExposure to modern development practices, including LLM-assisted coding toolsBackground in financial engineering, mathematics, or related quantitative fieldWhat You’ll BringAbility to bridge the gap between quant research and production engineeringStrong communication skills to work effectively across quants, traders, and engineersA mindset focused on scalability, performance, and reliabilityComfort operating in a high-impact, front-office environmentAdditional ContextMultiple openings (10+) with a strong emphasis on Python-based developmentCore focus: building applications from trading models, not just model researchOpportunity to influence the evolution of the firm’s quantitative platforms and engineering standards