Quant Researcher - Machine Learning
Gurgaon, India
- Pay
- Salary not listed in the saved posting
- Work setup
Hybrid stated — work setup source
We are seeking a highly skilled Quantitative ML Researcher to join our HFT trading team. You’ll be working at the intersection of quantitative research, machine learning, and high-performance software engineering, helping to develop, implement, and optimize trading strategies deployed in global financial markets. This is a hybrid research-engineering role where you'll collaborate with traders, researchers, and infrastructure engineers to create cutting-edge tools and models that drive our trading decisions. Requirements
Read the full posting- Employment
- Unconfirmed
Tools in this posting
- Python
- C++
- Rust
Source — Tool mentions in context
- Design, implement, and optimize statistical and ML-based trading models. Develop high-performance, low-latency code in C++, Python, or Rust. Analyse large-scale, high-frequency data to identify predictive signals (alpha).
Job description
We are seeking a highly skilled Quantitative ML Researcher to join our HFT trading team. You’ll be working at the intersection of quantitative research, machine learning, and high-performance software engineering, helping to develop, implement, and optimize trading strategies deployed in global financial markets.
This is a hybrid research-engineering role where you'll collaborate with traders, researchers, and infrastructure engineers to create cutting-edge tools and models that drive our trading decisions.
Requirements
Design, implement, and optimize statistical and ML-based trading models.
Develop high-performance, low-latency code in C++, Python, or Rust.
Analyse large-scale, high-frequency data to identify predictive signals (alpha).
Collaborate with research and trading teams to backtest and deploy strategies in live environments.
Build tools for feature engineering, data normalisation, and model evaluation.
Improve execution algorithms for minimising slippage, market impact, and latency.
Contribute to building robust infrastructure for automated model training and deployment.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on myfindoc.zohorecruit.com. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
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- Location & working pattern
Gurgaon, India
We are seeking a highly skilled Quantitative ML Researcher to join our HFT trading team. You’ll be working at the intersection of quantitative research, machine learning, and high-performance software engineering, helping to develop, implement, and optimize trading strategies deployed in global financial markets. This is a hybrid research-engineering role where you'll collaborate with traders, researchers, and infrastructure engineers to create cutting-edge tools and models that drive our trading decisions. Requirements
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jun 2, 2026
- Recorded sightings
- 59
- Last seen by us
- Sep 29, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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