FX Trader - Data Analytics
$55,000–$80,000 year
On-siteToronto, Ontario, Canada
Job Summary
Execute spot, forwards, NDFs, and options strategies while monitoring intraday positions and managing liquidity for sales and leadership teams. Build analytical dashboards and back-testing frameworks using Python, R, SQL, or Power BI to automate processes and forecast risk. Apply statistical methods and machine learning to analyze market behavior, volatility, and client flow, then present performance metrics and market insights to senior management. Collaborate with treasury, credit, and operations to ensure smooth margining and settlement, reporting daily P&L drivers and risk exposures. Work in the Toronto office with company-issued equipment and formal hands-on training.
Required Qualifications
- Bachelor's degree in Finance, Economics, Mathematics, Engineering, Data Science, or related field
- 2+ years of experience in FX trading (buy-side, sell-side, or corporate risk management)
- Strong understanding of FX instruments: spot, forwards, NDFs, swaps, and options
- Proficiency in data analytics tools: Python, R, SQL, Power BI, Excel VBA, or equivalent
- Solid grasp of quantitative concepts: probability, time series analysis, regression, optimization
- Ability to thrive in a fast-paced trading environment with precise attention to detail
- Experience with market data APIs (Bloomberg, Refinitiv, 360T, EBS)
- Must be available to work in our Toronto office
- Must be able to lift 50 lbs
Desired Qualifications
- Knowledge of automation workflows or cloud tools (Azure, AWS, Airflow) is an asset
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