Senior Trading Analyst

About the role

Deriv is looking for a Senior Trading Analyst to build the analysis behind its trading decisions, turning messy data into recommendations that inform live decisions and feed risk frameworks protecting real money. The role combines trading expertise with AI tools, which are used from day one to streamline data processing and flag anomalies. The team has built and managed risk frameworks across multiple asset classes and regulatory environments.

Key responsibilities

• Shape, validate and improve semi-autonomous agents under human supervision, keeping execution within approved limits
• Build supervised agents for pre-hedging analysis, hedge execution and post-hedging review, assessing execution costs, risk reduction and commercial outcomes
• Design agent-led monitoring of trends, volatility and liquidity with alerts, escalation criteria and feedback loops
• Automate analysis of spreads, slippage and liquidity provider performance and recommend routing, pricing or provider adjustments
• Investigate flagged trading patterns, distinguish legitimate behaviour from abuse, and feed outcomes back into detection logic
• Run structured backtests of hedging strategies, instrument parameters and agent rules, guarding against overfitting
• Maintain SOPs for trading analysis, agent supervision and hedging, covering approval boundaries, exposure limits and escalations
• Evaluate liquidity providers, bridge configurations and platform setups (MT5, cTrader, TradingView)
• Automate reporting for trading, risk and commercial teams and own the correctness of outputs, including AI-generated queries and calculations
• Lead complex investigations, coordinate with technical and operational teams, mentor colleagues and onboard new members

Required profile

• At least 5 years of experience in trading analysis, financial markets or a related analytical role within a regulated entity
• Degree in mathematics, finance, economics or a related field
• Experience running backtests that informed real decisions
• Able to explain spreads, exposure and backtest results to non-traders in writing and conversation
• Uses AI tools in daily work and knows where their output needs checking
• Solves complex problems independently and mentors others

Required skills

• SQL and data analysis on large trading datasets
• Backtesting of trading strategies
• Understanding of spreads, slippage, liquidity and hedging