Trading Analyst - Algorithmic & Systematic Trading

About the role

A graduate-level, full-time Trading Analyst is sought to support the development, testing and day-to-day operation of systematic and algorithmic trading strategies. The role works closely with experienced traders to backtest ideas, analyse strategy performance, monitor automated systems and help build a structured, scalable algorithmic trading process. It offers hands-on exposure to live trading strategies, financial markets and quantitative analysis.

Key responsibilities

• Research, develop and backtest systematic strategies across futures and other markets; analyse historical data for patterns and signals; evaluate performance by returns, drawdown, Sharpe ratio, win rate and risk-adjusted returns; run robustness tests and refine strategies with traders.
• Monitor daily operation of algorithmic systems, including execution, signals, positions and performance; investigate execution discrepancies and system issues; maintain platforms, market data and strategy configurations within risk parameters.
• Help build a structured framework covering research, backtesting, validation, approval, deployment and monitoring; automate performance analysis, trade reconciliation and reporting; document strategies and parameters; support a centralised repository of trading data.
• Analyse live and historical performance, drawdowns, exposures and correlations; assess transaction costs, slippage and liquidity; prepare regular performance and risk reports.

Required profile

• Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, Finance, Economics or another quantitative discipline.
• Fresh graduates and candidates with up to 2 years of relevant experience are welcome.
• Strong interest in financial markets, trading and quantitative research; curious, detail-oriented, disciplined and able to work independently and with traders.

Required skills

• Strong analytical, numerical and problem-solving abilities.
• Proficiency in Excel and comfort with large datasets.
• Knowledge of Python, SQL or other programming languages is an advantage.
• Understanding of basic statistics, probability and financial market concepts; familiarity with backtesting and systematic trading is beneficial but not essential.

What we offer

• Direct exposure to live proprietary and systematic trading strategies.
• Close collaboration with experienced traders and hands-on involvement in the full strategy lifecycle.
• Opportunity to contribute to the firm's systematic trading processes and infrastructure.
• Potential career progression into quantitative research, systematic trading or proprietary trading.