Singapore

Quant Researcher (Systematic Futures) - Global Prop Trading Firm, Singapore

Quant Researcher (Systematic Futures) - Global Prop Trading Firm, Singapore
Description
Quant Researcher (Systematic Futures) - Global Prop Trading Firm Location - Hongkong/Singapore/Shanghai/Australia/Dubai.
Global Top Tier Systematic Trading Firm Hiring for Research & Trading Group After several consecutive years of market-leading performance, this division has established itself as a dominant force in systematic futures trading. Operating within a highly collaborative framework, it offers new hires immediate integration into impactful projects-backed by a hybrid research-trading model that directly ties contributions to PnL generation and commensurate compensation.
About the Role The team benefits from state-of-the-art technology across mid-frequency and high-frequency trading platforms, dedicated trading support systems designed for systematic strategy execution, and access to cutting-edge research tools and low-latency infrastructure.
Responsibilities Quantitative Research:
Conduct in-depth analysis to identify systematic futures trading opportunities, leveraging statistical modeling and market microstructure insights. Model Development & Implementation:
Design, enhance, and deploy trading models/algorithms using cutting-edge technology to drive PnL growth. Cross-Functional Collaboration:
Partner with quants, engineers, and risk teams to optimize strategies, refine risk management frameworks, and implement trading solutions. Market Intelligence Integration:
Monitor global market trends, industry innovations, and regulatory shifts to inform strategy evolution. Continuous Optimization:
Refine quantitative models to maximize profitability and adapt to changing market dynamics.
Qualifications Advanced Academic Credentials:
Ph.D. in Finance, Mathematics, Statistics, Physics, or related quantitative discipline. Professional Experience:
Proven track record in systematic futures research or trading at a mid-to-high frequency trading firm, with demonstrable impact on strategy performance. Technical Proficiency:
Expertise in Python and/or C++ for quantitative modeling, backtesting, and algorithmic implementation. Soft Skills:
Exceptional communication under high-pressure environments, with the ability to translate complex research into actionable trading strategies.
Desired Skills and Experience
High-Frequency TradingQuantitative AnalyticsCTAFutures TradingMachine LearningInvestmentsCryptoEquity TradingOptionsQuantitative Research
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