Quantitative Researcher
Primary stack
Nice to have's
Job description
About the Position
We are seeking a Quantitative Researcher to join our innovative team that designs, develops, and deploys cutting-edge, AI-driven systematic trading systems for global markets. Our fast-paced environment allows us to move quickly from hypothesis to production-ready systems, directly impacting real-world performance.
Responsibilities
- Strategy Research & Development: Design, develop, and validate new AI-driven systematic trading strategies from the ground up.
- Optimization & Capacity: Improve the performance, robustness, and execution capacity of existing production strategies.
- Signal & Execution Engineering: Develop signals, execution logic, and risk models using large-scale, high-frequency datasets.
- Rigorous Backtesting: Conduct robust backtests designed to distinguish genuine alpha from overfitting, noise, and statistical artifacts.
- Production Delivery: Work closely with engineering and operations teams to validate, deploy, and continuously improve production-ready trading systems.
Requirements
- Strong Quantitative Background: Academic or professional experience in Statistics, Mathematics, Physics, Computer Science, Electrical Engineering, or a related quantitative field.
- Proven Research Track Record: Demonstrated research ability through publications, top competition results (e.g., Kaggle, mathematics or programming olympiads), or successfully deployed quantitative trading systems.
- Technical Skills: Strong proficiency in Python, including Pandas and NumPy. Experience with SQL is a plus.
- Rigorous Mindset: A highly self-critical approach to research, with a strong commitment to scientific rigor and disciplined experimentation.
- Commercial Drive: A strong focus on real-world system performance and PnL, rather than theoretical research metrics alone.
Nice to Have
- Experience working with alternative, emerging, or 24/7 markets.
We Offer
- Direct Impact: Work in short research and development cycles where your ideas can move quickly from research into live trading.
- High Talent Density: Collaborate with a lean team of quantitative researchers and engineers pushing the boundaries of AI-driven systematic trading.
- Cutting-Edge Technology: Work with large-scale, high-frequency datasets and advanced AI/ML architectures to build next-generation trading systems.
About the Company
We are a forward-thinking team dedicated to leveraging AI and advanced quantitative methods to enhance market performance. Our mission is to develop and deploy state-of-the-art trading systems that deliver real-world results.
Apply Now
Salary: 3000 – 5000 USD / Month
Location: Remote
Employment Type: Full-time
Apply with the form below and we will reach out to you within the next 24 hours.
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