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Quantitative Developer Intern

0 years

0 Lacs

Gurugram Haryana India

Posted:21 hours ago| Platform: Linkedin logo

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Skills Required

developer research licensing trading strategies cutting collaborative programming development test power data engineering strategy algorithms analytics python design communication pipeline signal model visualization monitoring code support reliability mathematics numpy storage api software linux docker simulation aws gcp analysis learning

Work Mode

Remote

Job Type

Full Time

Job Description

AlgoEdge

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About AlgoEdge:

AlgoEdge is a quantitative research firm developing and licensing high-performance algorithmic trading strategies across multiple asset classes and geographies. We combine cutting-edge research, proprietary infrastructure, and a collaborative culture to build scalable, alpha-generating strategies for investment managers.


Internship Summary:

Quantitative Developer Intern


Key Responsibilities:

  • Build and optimize tools/services/infrastructure for data ingestion, feature engineering, and strategy backtesting.
  • Implement, test, and maintain trading algorithms and analytics pipelines in Python or C++.
  • Plan, design and implement data communication pipeline interacting over multiple services.
  • Work closely with quant researchers to productionize signal research and model output.
  • Design performance dashboards, visualization tools, and real-time monitoring systems.
  • Ensure code is modular, well-documented, and scalable across strategies and asset classes.
  • Support infrastructure improvements including speed, reliability, and code efficiency.


Qualifications:

  • Pursuing or recently completing a degree in Computer Science, Engineering, Applied Mathematics, or a related field.
  • Strong programming experience in

    Python

    ; C++/Rust is a plus.
  • Familiarity with

    Fastapi

    ,

    Pandas, NumPy, SQL

    , and general data wrangling.
  • Familiarity with moving data between services over different protocols (e.g., event-based, shared storage services, or API-based)
  • Solid understanding of software engineering principles and version control (Git).
  • Solid understanding of linux, docker, data storage, infrastructure design and shell scripting.
  • Interest in

    financial markets, trading, or quantitative strategies

    (prior experience a plus but not required).
  • Detail-oriented, intellectually curious, and comfortable working in a fast-paced environment.
  • Having built hobby pet projects that involves self hosted infra is a big plus.


Preferred Skills:

  • Experience with backtesting frameworks (e.g., Zipline, Backtrader) or custom simulation environments.
  • Exposure to cloud platforms (AWS/GCP), containers (Docker), or distributed computing.
  • Familiarity with time-series analysis, machine learning, or financial data APIs.


What We Offer:

  • Real-world exposure to quantitative trading and systems development.
  • Mentorship from experienced quant researchers and developers.
  • Flexible remote work environment with high autonomy.
  • Potential for full-time opportunities based on performance.
  • An intellectually stimulating culture focused on research, innovation, and continuous learning.


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