Cutting-edge trading fund operating at the intersection of data science, finance, and technology. Strategies are fully automated and deployed across global markets, leveraging advanced statistical methods, machine learning, and high-frequency execution. As we continue to scale, we’re seeking a sharp, detail-oriented Investment Risk Analyst to strengthen our risk function and help us stay one step ahead in today’s complex markets.
The Role
As an Investment Risk Analyst, you’ll play a key role in monitoring, analyzing, and managing risk across our portfolio of systematic trading strategies. You’ll work closely with quants, portfolio managers, and developers to ensure that risk is not just a control—but a core input into our decision-making.
What You’ll Do
* Monitor real-time and end-of-day risk exposures across multiple asset classes and trading strategies
* Analyze and explain PnL drivers, drawdowns, and tail events
* Develop and maintain quantitative risk models (factor, VaR, scenario analysis, stress testing, etc.)
* Collaborate with quants and PMs to review model assumptions, position sizing, and leverage constraints
* Design dashboards, alerts, and tools for proactive risk monitoring
* Work with engineering to improve data pipelines and risk infrastructure
* Contribute to risk governance processes and internal reporting
What We’re Looking For
* 2–5 years of experience in investment risk, preferably at a quant fund, prop trading firm, or hedge fund
* Strong quantitative background (degree in mathematics, physics, engineering, finance, or related field)
* Experience with portfolio risk analytics and tools (e.g., factor models, VaR engines)
* Solid programming skills (Python strongly preferred; familiarity with SQL, R, or C++ a plus)
* Familiarity with systematic or algorithmic trading strategies
* High attention to detail, curiosity, and the ability to challenge assumptions constructively