Risk Manager

Grasshopper is a quantitative trading technology provider based in Singapore, and is the holding company of Grasshopper Asset Management. Our state-of-the-art technology, built from the ground up in-house, puts us at the forefront of developments in electronic trading. An unbroken record of consistency and profitability is underpinned by firm values of curiosity, empowerment and flexibility.

As we continue to expand our risk team, we are seeking a skilled Risk Manager with a strong technical background and expertise in low-latency electronic trading, futures and options, and automated market-making environments to join our team.

The Risk Manager will play a critical role in safeguarding our automated strategies by managing real-time exposure, optimizing pre- and post-trade risk controls, ensuring operational integrity and supporting the business.

As a key member of the Risk Team, you'll:

• Manage real-time intraday risk across high-frequency execution pipelines, market-making books, and automated strategies in global derivatives and equities markets.

• Oversee and optimize pre-trade and post-trade risk controls, hard limits and emergency mitigation protocols.

• Collaborate closely with trading teams, developers, and trading operations to evaluate strategy risks, validate limit requests, and investigate execution anomalies.

• Monitor automated quoting behavior, system bottlenecks, and market volatility spikes that could impact the firm’s risk profile or exposure limits.

• Ensure strict adherence to internal risk governance policies, regulatory requirements, and exchange limits.

• Design and automate quantitative risk monitoring tools, reporting dashboards, and log-analysis pipelines using Python and SQL.

• A Bachelor’s degree in Quantitative Finance, Computer Science, Engineering, Economics, or a related technical field; Master’s degree or professional certifications (e.g., FRM, CFA) are a plus.

• Proven experience in risk management within an HFT, proprietary trading, or electronic market-making environment.

• Strong programming skills in Python (with proficiency in Pandas, NumPy) for data analysis, risk automation, and log parsing.

• In-depth understanding of pre-trade risk controls, exchange mechanics, execution gateways, and real-time trade reconciliation.

• Solid grasp of quantitative risk metrics, option pricing, Greeks, and portfolio exposure management across futures, options, forex, and equities.

• Excellent communication skills, with the ability to make rapid, high-stakes decisions and clearly convey risk insights to senior management and tech teams.

• Ability to work independently and cover the