Quantitative Analyst- Risk (Equity/Futures/Crypto )
We are seeking multiple Quantitative Analysts to join a high-performing global hedge fund.
The role will focus on risk and pricing models in equity, futures, and crypto trading, offering the opportunity to refine risk models and systems specific to different asset classes while working collaboratively with quant traders and quant developers to enhance productivity as the business expands into new markets.
Job Responsibilities
Build and maintain quantitative tools, models, and processes to support firm-wide risk management for equity, futures and crypto positions, including the development of risk metrics and forecasting models.
Leverage quantitative expertise to conduct research on market risks, automate complex risk assessment tasks, drive initiatives to enhance risk monitoring for equity and futures portfolios, and evaluate hypothetical scenarios such as market volatility shocks or basis risk events.
Collaborate with technology teams and traders to refine risk models and systems specific to crypto, equity, futures and related derivatives.
Work closely with portfolio managers, traders, and other departments to explain risk metrics, provide actionable insights through risk portals or tools, develop reports for portfolio performance/risk management and mitigation, and offer recommendations for alpha-generating strategies.
Perform ad-hoc data analysis tasks to assist in the investment and risk management process, including monitoring strategy performance, assessing risks in equity volatility and futures pricing, and refining models based on empirical data.
Effectively communicate complex quantitative findings, strategies, and risk assessments to stakeholders, including non-technical audiences, to inform decision-making and ensure alignment across teams.
Required Qualifications
Degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related discipline.
Excellent communication skills and the ability to work closely with people from a variety of teams across the firm, including traders and risk managers focused on equity, futures, and crypto.
Strong analytical and problem-solving skills, with a focus on quantitative risk assessment, predictive analytics, pattern recognition, and creative thinking to identify alpha opportunities.
Excellent programming skills, with the ability to perform complex debugging, design work, and problem-solving in a quantitative context.
Strong skills in Python (required, particularly for modeling equity volatility and futures pricing), R, MATLAB, or similar tools for complex data analysis and model development.
Experience working on a Linux platform for running simulations and backtests.
Reliable and predictable availability to handle real-time market events.
Exceptional skills in statistical analysis and modeling, with expertise in probability theory, stochastic processes, and numerical analysis.
Location: Based in Singapore, Hong Kong, or Shanghai.
Seniority level:
Mid-Senior level
Employment type:
Full-time
Job function:
Finance
Industries:
Financial Services and Investment Management
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