Quantitative Researcher (Fully remote or Relocation to Dubai)
๐ Quantitative Researcher – Remote or Dubai (Relocation Support Available) - Competitive Salary + Bonus
Join a fast-growing quant trading firm pushing the boundaries of high-frequency trading across global markets.
We’re on the hunt for a sharp and driven Quantitative Researcher to help build and refine predictive models that power cutting-edge, delta-neutral, multi-leg strategies across multiple exchanges.
This is an opportunity to work in a collaborative, low-ego environment, where you’ll rapidly bring research into production and see real-time impact from your models.
What You’ll Do:
- Research, design, and backtest short-term predictive models to estimate fair value (mid-price, bid, ask).
- Engineer features and analyse high-frequency, real-world trading data.
- Work side-by-side with top-tier engineers to define, build, and refine real-time feature pipelines.
- Run rigorous validation tests using advanced statistical methods.
- Own the full model lifecycle — from prototype to live trading — with rapid iteration and feedback.
What You Bring:
- Solid foundation in mathematics: probability, statistics, stochastic processes, time series.
- 2+ years’ experience in quantitative research, modeling, or data science (academic projects welcome if relevant).
- Strong Python skills for data wrangling, analysis, and backtesting.
- Hands-on experience with ML tools like PyTorch, XGBoost, CatBoost, and orchestration tools like Kedro or Airflow.
- Curiosity about trading systems and market microstructure (bonus points for prior HFT exposure).
- Excellent communication to work closely with engineers and share complex ideas clearly.
Bonus Points:
- Experience with real-time feature pipelines.
- Exposure to Rust-based infrastructure (even a basic understanding helps).
Why Join Us:
- Work on intellectually stimulating problems at the intersection of ML, finance, and engineering.
- Choose to work fully remote or from our modern Dubai HQ (relocation support provided).
- Fast feedback loops, no red tape, and real ownership from day one.
- Be part of a lean, passionate team that thrives on experimentation and innovation.
If you feel you are a good fit then please apply or send your CV directly to husnan@umatr.io
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