FX Trader - Data Analytics

CorpayToronto, ON
CA$55,000 - CA$80,000Onsite

About The Position

Corpay is currently looking to hire a FX Trader. This position falls under our Cross Border line of business and is located in Toronto, Canada. In this role, will execute and manage foreign exchange positions across major and emerging market currencies while leveraging advanced data analytics to enhance trading decisions, optimize pricing, and improve risk management. Reporting directly to the Director of Trading Operatives, you will have strong market intuition combined with the ability to extract insights from large datasets to drive profitability, efficiency, and strategic decision-making.

Requirements

  • 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).
  • Consistent contribution to desk P&L with strong risk‑adjusted performance.
  • Improvement in pricing efficiency, hit ratios, or liquidity costs through analytics.
  • Reduction in operational errors or manual workloads via automation.
  • Ability to translate data insights into practical trading decisions and strategy improvements.

Nice To Haves

  • Knowledge of automation workflows or cloud tools (Azure, AWS, Airflow) is an asset.

Responsibilities

  • Executing spot, forwards, NDFs, and options strategies in line with risk limits, client requirements, and market conditions.
  • Monitoring and manage intraday trading positions, ensuring adherence to risk parameters and regulatory requirements.
  • Providing real‑time pricing, liquidity management, and market color to sales, operations, and leadership teams.
  • Identifying short-term opportunities through market analysis, order flow patterns, and macroeconomic developments.
  • Building analytical dashboards and models to improve pricing accuracy, risk forecasting, and P&L attribution.
  • Using Python, R, SQL, Power BI, or similar tools to automate repetitive processes and generate actionable insights.
  • Applying statistical methods and machine learning techniques to analyze market behavior, volatility clustering, liquidity patterns, or client-flow dynamics.
  • Developing back‑testing frameworks for trading strategies, hedging models, and scenario analysis.
  • Monitoring market, liquidity, and counterparty risk exposures; implement risk‑mitigation strategies when necessary.
  • Collaborating with treasury, credit, and operations teams to ensure smooth margining, collateral, and settlement processes.
  • Reporting daily P&L drivers, risk metrics (VaR, stress tests, Greeks for options), and performance commentary.
  • Working closely with Sales, Quant, and Operations teams to deliver competitive pricing and high-quality execution.
  • Presenting trading performance, model results, and market insights to senior management regularly.
  • Contributing to continuous improvement of trading systems, analytics tools, and workflow efficiencies.

Benefits

  • Medical, Dental, Vision and Paramedical benefits, as of day one
  • Optional company match RRSP program
  • Virtual fitness classes offered company-wide
  • Time-off including major holidays, vacation, sick, personal, & volunteer time
  • Discounted gym membership rate
  • Philanthropic support with both local and national organizations
  • Fun culture with company-wide contests and prizes
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