Quant Researcher Machine Learning

We are seeking a highly skilled Quantitative Researcher / Developer to join our HFT trading team. Youll 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 youll 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 .

Analyze 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 normalization and model evaluation .

Improve execution algorithms for minimizing slippage market impact and latency.

Contribute to building robust infrastructure for automated model training and deployment .

Required Skills : Open to travel

Required Education : CA Final completed

Key Skills

Intelligence Community Experience,Python,Spss,Microsoft Word,R,Regression Analysis,Windows,Stata,Microsoft Powerpoint,Research Experience,Data Modeling,Writing Skills

Employment Type : Full Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 18 - 20