Systematic Trader / Alpha Researcher
- Role
- Data Science
- Experience
- Senior
The listing doesn't say where it hires from. Check the description or the employer's site before applying.
No BS summary
Senior systematic trader or alpha researcher, 2-5 years experience in quantitative research or trading. Must have strong programming skills in Python and a background in statistics or machine learning. Experience at a proprietary trading firm is preferred.
Required skills
Blockchain Headhunter’s Post
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What you'll do
- Research, develop, and deploy systematic trading strategies
- Generate alpha through statistical, quantitative, and machine learning techniques
- Analyze large and complex datasets to uncover persistent trading signals
- Improve execution, portfolio construction, and risk management frameworks
- Conduct rigorous backtesting, validation, and post-trade analysis
- Collaborate with traders, researchers, and engineers to productionize research
- Contribute directly to trading performance and strategic decision-making
- Explore new markets, products, and areas of opportunity
What they require
- 2-5 years of experience in quantitative research, systematic trading, or a closely related role
- Experience at a leading proprietary trading firm, quantitative hedge fund, or systematic trading platform strongly preferred
- Strong foundations in statistics, probability, machine learning, optimization, or related quantitative disciplines
- Demonstrated ability to research noisy financial datasets and convert insights into profitable trading strategies
- Strong programming skills, ideally in Python
- Evidence of direct ownership over research, strategy development, or trading outcomes
- Exceptional analytical ability and intellectual curiosity
Benefits
- Competitive base salary
- $1M-$2M signing bonus for exceptional candidates
- Multi-seven-figure annual performance bonus potential
Well-capitalized proprietary trading firm managing nine figures in assets, focused on identifying opportunities in frontier and inefficient markets. Team includes traders and researchers from top quantitative trading firms.