Alpha Researcher / ML Feature Engineer
Alpha Researcher / ML Feature Engineer
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1 Vacancy
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 executiontransforming complex datasets into predictive trading signals that capture short-term market opportunities. Youll work alongside a highly skilled modeling and execution team ensuring that your research ideas dont stay in theory but turn into real monetized strategies.
Key Responsibilities:
- Perform rigorous time-sensitive applied research across diverse data sourcesincluding high-frequency market data and alternative datasetsto 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 Masters 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.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Key Skills
- Intelligence Community Experience
- Python
- Spss
- Microsoft Word
- R
- Regression Analysis
- Windows
- Stata
- Microsoft Powerpoint
- Research Experience
- Data Modeling
- Writing Skills
