Hiring.Camp

Quantitative Developer Intern

Alphagrepsecurities

·

Sep 22, 2025

Location
Mumbai · Mumbai, Maharashtra, India
Type
Internship
Department
Quantitative Research & Trading
Seniority
Internship
Source
Greenhouse

Description

AlphaGrep is a quantitative trading and investment management firm founded in 2010. We are one of the largest firms by trading volume on Indian exchanges and have significant market share on several large global exchanges as well. We use a disciplined and systematic quantitative approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary ultra-low latency trading systems and robust risk management to develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges.

AlphaGrep Securities seeks a Quantitative Research Intern, who will be part of trading group which executes algorithmic strategies based on market behavior. We cover the global markets by leveraging and integrating technology, risk management and quantitative research.

  • Designing, implementing, and deploying high-frequency trading algorithms
  • Exploring trading ideas by analysing market data and market microstructure for patterns
  • Creating tools to analyse data for patterns
  • Contributing to libraries of analytical computations to support market data analysis and trading
  • Developing, augmenting, and calibrating exchange simulators science, mathematics and related fields to apply.

Additional requirements include:

  •  Familiarity with machine learning (a plus)
  • Experience with data analysis, market research and data modeling (a plus)
  • Brilliant problem-solving abilities
  • Software development experience as demonstrated through course work, research projects, or open source activities, preferably in C++, Python or R/Matlab
  • A passion for new technologies and ideas
  • The ability to manage multiple tasks in a fast-paced environment
  • Strong communication skills
  • A working knowledge of Linux/Unix

 

Skills

PythonLinuxMachine LearningRisk Management

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