Systematic Trader / Alpha Researcher
- Role
- Research
- Experience
- Mid
- Employment
- Full-time
Open to Worldwide. Set where you work from to check your eligibility.
No BS summary
Quant researcher or systematic trader with 2–5 years of experience building profitable trading strategies from noisy financial data. Needs strong quantitative foundations, programming ability, ideally Python, and comfort with ML/statistical alpha research. Remote worldwide, full-time.
Core skills
💼 Hiring: Systematic Trader / Alpha Researcher - Prop trading boutique 📍 Remote (Global) | 🕐 Posted 1 day ago - July 2026 | 💰 1M+ (signing bonus up to $2M + multi-seven-figure performance bonus) | 🧑💻 Full-time | 🔗 Systematic trading / Quant research / Python / ML
The company is seeking an exceptional Quantitative Researcher to join their systematic trading team at a well-capitalized prop trading boutique managing nine figures in assets. This is not a traditional research role — the successful candidate will work alongside experienced traders and researchers to develop, test, and deploy live trading strategies while identifying new opportunities across markets, products, and asset classes.
📋 Responsibilities include:
- 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
- Explore new markets, products, and areas of opportunity
🔑 Requirements:
- 2-5 years of experience in quantitative research, systematic trading, or closely related role
- 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
- Experience at leading prop trading firms, quant hedge funds, or systematic platforms strongly preferred
Feel free to DM founder Michael Shlayen too.
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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
- 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
- Strong foundations in statistics, probability, machine learning, optimization, or related quantitative disciplines
- 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
- Experience at leading prop trading firms, quant hedge funds, or systematic platforms strongly preferred
Benefits
- Signing bonus up to $2M
- Multi-seven-figure performance bonus
Well-capitalized prop trading boutique managing nine figures in assets.