Job Description

We are seeking an experienced ML-driven Alpha Researcher / Feature Engineer who thrives at the intersection of fast-paced markets, data science, and collaboration . This role is ideal for someone who can move quickly from idea to execution—transforming complex datasets into predictive trading signals that capture short-term market opportunities. You’ll work alongside a highly skilled modeling and execution team, ensuring that your research ideas don’t stay in theory but turn into real, monetized strategies.

Key Responsibilities:

• Perform rigorous, time-sensitive applied research across diverse data sources—including high-frequency market data and alternative datasets—to uncover systematic anomalies.
• Design and engineer predictive features that can be rapidly tested and deployed into production strategies.
• Lead and contribute to end-to-end signal research workflows: data sourcing, cleaning, feature engineering, signal generation, backtesting, and validation.
• Partner closely with modeling and execution teams to ensure signals are integrated, stress-tested, and monetized efficiently.

Qualifications

• Bachelor, Master’s or PhD in Applied Mathematics, Statistics, Physics, Engineering, Financial Engineering, Computer Science, or related field from a top-tier institution.
• 5+ years of quantitative research experience with systematic strategies in liquid markets (equities, futures, options); intraday trading expertise is strongly preferred.
• Proven ability to deliver alpha: signals that translate to real trading profits, not just backtest curves.
• Expert-level Python skills (Pandas, SciPy, NumPy, Polars); ability to write clean, efficient, and scalable code.
• Strong collaborative mindset: thrives in team environments, communicates clearly, and moves fast without compromising rigor.
• High sense of ownership, urgency, and accountability.

Additional Information

What we offer:

• Experience a modern international technology company without the burden of bureaucracy.
• Collaborate with industry-leading professionals, including former employees of Tower, DRW, Broadridge, Credit Suisse, and more.
• Enjoy excellent opportunities for professional growth and self-realization.
• Work remotely from anywhere in the world with a flexible schedule.
• Receive compensation for health insurance, sports activities, and non-professional training.