Quant Developer/Equity Trading/Python

Job Title: Quant Developer/Equity Trading/Python

Location: NYC, Jersey City, NJ, or Toronto, ON

Work Type: Hybrid (3 days a week)

Job Type: Contract (1 year+)

Rate: $100/hr on 1099

Openings: 10

The Vendor is very specific about the keywords to be there in the resume and the title should match the LinkedIn of the candidate for every project. He does CTRL+F to check.

Notes:

• Candidates must be local NO RELOCATION
• Candidates must have good tenure and/or long projects
• Candidates with very recent local projects are highly needed
• Interview Type: Video

Job Description:

• WE HAVE AN EXCLUSIVE ON TEN QUANTITATIVE DEVELOPER POSITIONS FOR RBC'S EQUITY TRADING DIVISION. WE ALSO HAVE EQUITY TRADING DEVELOPER POSITIONS SO PLEASE SEND ANY SENIOR CANDIDATES WITH RECENT EQUITY TRADING EXPERIENCE.

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. ***** CANDIDATES MUST HAVE RECENT AND EXTENSIVE EXPERIENCE DEVELOPING EQUITY TRADING MODELS. THIS POSITION IS FOR A QUANTITATIVE DEVELOPER (PYTHON, C++, JAVA) - NOT A QUANTITATIVE ANALYST (MATLAB, R') NO RELOCATION

EQUITY TRADING

• All submittals must Include:
• Driver's license or State ID
• Link to the candidates LinkedIn account.
• Below submittal Format
• Experience required on a resume and for submittal:

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