Systematic Trader / Alpha Researcher
Prop trading boutique
About Our Client
Our client is a well-capitalized proprietary trading firm managing nine figures in assets and focused on identifying opportunities in frontier and inefficient markets. The team includes traders and researchers from some of the world's most respected quantitative trading firms and combines rigorous research, systematic trading, and entrepreneurial thinking to build durable trading businesses. While digital assets remain a core area of focus, the broader mission is to discover and scale new sources of alpha across global markets.
The Opportunity
Our client is seeking an exceptional Quantitative Researcher to join their systematic trading team.
This is not a traditional research role. You will work alongside experienced traders and researchers to develop, test, and deploy live trading strategies while helping identify entirely new opportunities across markets, products, and asset classes.
The ideal candidate comes from a high-performance trading environment and is looking for greater ownership, broader responsibility, and the opportunity to help shape the future direction of a growing trading business.
Responsibilities
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Research, develop, and deploy systematic trading strategies
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Generate alpha through statistical, quantitative, and machine learning techniques
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Analyze large and complex datasets to uncover persistent trading signals
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Improve execution, portfolio construction, and risk management frameworks
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Conduct rigorous backtesting, validation, and post-trade analysis
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Collaborate with traders, researchers, and engineers to productionize research
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Contribute directly to trading performance and strategic decision-making
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Explore new markets, products, and areas of opportunity beyond the existing trading book
Requirements
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2-5 years of experience in quantitative research, systematic trading, or a closely related role
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Experience at a leading proprietary trading firm, quantitative hedge fund, or systematic trading platform strongly preferred
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Strong foundations in statistics, probability, machine learning, optimization, or related quantitative disciplines
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Demonstrated ability to research noisy financial datasets and convert insights into profitable trading strategies
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Strong programming skills, ideally in Python
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Evidence of direct ownership over research, strategy development, or trading outcomes
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Exceptional analytical ability and intellectual curiosity
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Comfortable operating in a fast-paced, high-conviction environment
Preferred Backgrounds
Candidates from firms such as:
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Jane Street
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Citadel / Citadel Securities
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D. E. Shaw
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Two Sigma
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Jump Trading / Jump Crypto
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Optiver
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SIG
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Tower Research
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Millennium
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Akuna Capital
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Selini Capital
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Hermeneutic
Experience in crypto is welcomed but not required.
What Success Looks Like
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Consistently generating valuable research and alpha ideas
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Taking increasing ownership of trading decisions and risk
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Identifying new opportunities that can become meaningful businesses for the firm
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Contributing to the growth of a world-class systematic trading platform
Compensation
- Competitive base salary
- $1M-$2M signing bonus for exceptional candidates
- Multi-seven-figure annual performance bonus potential