Quantitative Trader

CMC Markets•Toronto, ON

1d•Onsite

About The Position

As a Quantitative Trader, you’ll play a key role in managing market risk and supporting algorithmic trading on a fast-paced dealing desk. This is a dynamic position ideal for someone with front-office internship experience eager to develop their career in trading.

Requirements

A degree in a relevant scientific or quantitative discipline (e.g. Mathematics, Engineering, Physics, Computer Science).
Internship or early-career experience in the front office, ideally in equities, FX, derivatives, or related areas.
Strong quantitative and analytical skills, with experience in data analysis and modelling.
Proficiency in Python, with the ability to use it for automation, data analysis, or algorithmic trading.
Strong understanding or interest in financial markets, trading strategies, and how external events influence product pricing.
Excellent communication skills and the ability to collaborate across teams.

Responsibilities

Operate the dealing desk on a day-to-day basis, including executing algorithmic trades and hedging market risk associated with CMC’s product offering.
Facilitate the increased use of automation in pricing and risk management to improve efficiency in hedge execution and flow management.
Contribute to optimal risk management practices — from concept to implementation — ensuring they align with overall trading strategy.
Maintain the firm’s global trading exposures within predefined company limits (MRCR, Risk and P&L).
Collaborate with the Financial Risk Management team to develop a strong understanding of market, credit, and liquidity risk across products.
Apply a data-driven approach to all strategy decisions using Python and other analytical tools to extract insights and support improvements.
Monitor and analyse all external trading costs, identifying significant changes and suggesting cost-saving opportunities.
Track the market impact of hedge executions and ensure full compliance with relevant exchange rules.
Review client activity and system behaviour for risks to revenue, working alongside Sales and Financial Risk teams to address any issues.
Regularly assess the firm's best execution obligations — reviewing reports daily and making adjustments to pricing configurations as needed.