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Electronic Trading Risk Manager
Pure Hong Kong · Singapore
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Job description
Key Responsibilities
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Act as a key member of the Risk function, supporting the safe and efficient operation of systematic and electronically executed trading strategies across global markets.
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Provide proactive oversight of trading risk exposures, helping to identify emerging risks and ensuring appropriate controls remain effective in dynamic market conditions.
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Partner with investment, trading, and technology teams to assess risk implications of trading activity, system changes, and new business initiatives.
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Analyze trading behaviour, market events, and portfolio exposures to identify potential vulnerabilities and recommend practical risk mitigation measures.
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Develop and enhance quantitative risk monitoring tools, frameworks, and reporting to improve the firm's ability to detect, measure, and respond to risk events.
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Challenge and review trading practices, controls, and risk assumptions, providing independent assessment and constructive feedback where necessary.
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Support the governance and implementation of risk limits, scenario analysis, and stress-testing methodologies to evaluate the impact of extreme but plausible market events.
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Investigate trading incidents, unusual market activity, and operational exceptions, coordinating with relevant stakeholders to drive timely resolution and process improvements.
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Collaborate with Risk Technology teams to improve automation, surveillance capabilities, data quality, and real-time risk monitoring infrastructure.
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Produce risk analysis and management information for senior stakeholders, contributing to risk committees, governance forums, and strategic decision-making processes.
Skills & Experience
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Degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, Physics, or a related discipline.
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Experience gained within risk management, quantitative trading, market risk, electronic trading, or a similarly analytical environment.
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Strong understanding of trading workflows, market structure, and risk management principles within fast-paced and technology-driven trading businesses.
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Ability to evaluate complex datasets, draw meaningful conclusions, and communicate findings to both technical and non-technical audiences.
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Experience working alongside traders, quantitative researchers, software engineers, and operational teams in a collaborative environment.
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Strong programming and data analysis skills, particularly in Python and SQL.
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Demonstrated critical thinking, sound judgement, and the confidence to challenge decisions where appropriate.
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Self-motivated with a continuous learning mindset and a desire to improve processes, controls, and analytical approaches.
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Excellent communication and stakeholder management skills, with the ability to influence outcomes across a range of business functions.
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