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Toronto, ON, Canada
Job Information
Job Identification
Job Category Algo Trading
Business Unit Commercial & Investment Bank
Posting Date 12/22/2025, 11:37 AM
Locations 66 Wellington St W, Suite 4500, Toronto, ON, M5K 1E7, CA
Job Schedule Full time
Job Description
The Quantitative Research (QR) Team design and implement trading platforms to integrate client solutions across various functions. This team contributes to the design and implementation of the algorithmic trading platforms where they integrate quantitative research and data analytics for client solutions across various functions in eTrading.
Our team partners with the electronic trading desk and technology teams to develop sophisticated mathematical models, cutting‑edge methodologies and infrastructure to improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide. The Quantitative Algo Dev function within the QR eTrading team works closely with quant researchers, the algo development team and the trading desks to deliver global solutions for our clients.
Job Summary
As a Vice President in the QR eTrading team, you will contribute to the design and implementation of the algorithmic trading platform, integrating quantitative research, data analytics, and client solutions across various functions within eTrading. You will apply optimization techniques to enhance trade scheduling for both single stocks and portfolio trading in the algo engine. Collaborating with researchers in the QR team and working closely with the electronic trading product and algo development technology teams, you will have the opportunity to guide and shape the direction of the platform.
Job Responsibilities
Solve and implement numerical algorithms that address the optimization challenges in trade scheduling for multi‑period single stock and portfolio products
Build robust algorithms within the production platform which will involve collaborating closely with our technology partners to integrate and deliver optimization solutions within the algo trading engine
Collaborate with quant researchers and trading desks to refine models and strategies that enhance our trading performance
Work closely with the product team and trading desks to design and build client centric solutions
Required qualifications, capabilities, and skills
Masters in STEM subject such as computer science, engineering, mathematics/statistics, physics
5 years of experience in position(s) with similar responsibilities/technologies/business area
Experience with optimization techniques relevant to trading strategies
Experience coding in Java or C++
Experience working on algorithmic trading platform
Strong analytical, quantitative, and problem‑solving skills
Strong written and verbal communication skills, with the ability to communicate well with business users and technology teams
Preferred qualifications, capabilities, and skills
Preferred PhD in STEM subject or independent research experience
7+ years preferred experience in position(s) with similar responsibilities/technologies area
Experience with stochastic control, stochastic/numerical optimization techniques relevant to single stock or portfolio trading strategies
Experience with writing production grade implementations for trading systems in Java/C++
Experience with Python, AWS and/or other database/data processing technologies
Experience with q/kdb or similar
Knowledge of cash equity markets and microstructure
About Us
JPMorgan
Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a…
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