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Remote Sports Trader — Pricing & In-Play Risk
Remote / Online - Candidates ideally in
Mississauga, Ontario, Canada
Listed on 2026-09-05
Mississauga, Ontario, Canada
Listing for:
BettingJobs
Remote/Work from Home
position Listed on 2026-09-05
Job specializations:
-
Entertainment & Gaming
iGaming & Sports Betting
Job Description & How to Apply Below
The Sports Trader will manage pricing, lines and risk across a portfolio of sports, covering pre-match, in-play and props.
The role would suit a sharp, analytical trader who wants ownership of a specialism while building breadth across the wider offering. Exposure to modelling and analytics is a distinct advantage.
Responsibilities:
Adjusting odds and lines across North American sports in line with the trading strategy, maximising long-term performance.
Managing pre-match, in-play and props operations across a range of markets, performing shift duties across each area.
Analysing sources, wagers, customer profiles and market information to quickly identify where the offering needs correcting.
Monitoring live betting activity during dedicated tracker shifts, tracking incoming wagers to inform accurate real-time decisions.
Entering results, checking feed accuracy and maintaining event details, titles and notes.
Applying profiling techniques to customer behaviour and wagering activity, escalating or re-profiling players promptly in line with global profiling guidelines.
Compiling odds for props and detecting pricing errors in both the internal offering and the wider market.
Testing new releases and services affecting your primary area, and feeding back opinions to improve products, policies and procedures.
Working collaboratively across the trading team and the wider organisation to deliver the best outcome for clients and their customers.
Requirements:
Previous experience in a similar trading role, managing sports lines.
Proven knowledge of trading markets and industry trends.
Solid knowledge of North American sports, with broad knowledge of other sports an advantage.
Some experience or knowledge of modelling and analytics preferred.
Strong analytical mindset and excellent attention to detail.
Able to work unsupervised and under pressure in a fast-paced environment.
Strong communicator with quick response times across internal channels.
Availability for a flexible schedule, including weekends and varying shifts.
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