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AlphaGrep Tech Stack

Algorithmic trading firm operating across 30+ exchanges with machine learning and ultra-low latency infrastructure

Financial Services Mumbai 201–500 employees Founded 2010 Privately Held

AlphaGrep is a quantitative trading firm running Python, C++, and R pipelines on PostgreSQL and ClickHouse, analyzing petabytes of market data to detect and trade on minute pricing inefficiencies. The tech stack is optimized for ultra-low latency execution, with active projects spanning ML trading pipelines, network infrastructure, and job scheduling—reflecting an engineering-heavy org (12 of 27 open roles) that treats infrastructure and feature velocity as competitive edges rather than support functions.

Tech Stack 18 technologies

Core StackC++ Python Linux MATLAB PyTorch TensorFlow PostgreSQL ClickHouse Cisco R C/C++ Cython Polars SQL Bash Excel traceroute

What AlphaGrep Is Building

Challenges

  • Fast-paced demanding start-up environment
  • High-stakes production infrastructure
  • Automation for performance improvement
  • Ultra low latency requirement
  • Monitoring production trading risk
  • Responding to abnormal market conditions
  • Risk and compliance issues
  • Improving customer service efficiency
  • Standardizing amc branch operations
  • Identifying abnormal trading behavior

Active Projects

  • Maintaining features for machine learning trading pipeline
  • Data etl pipelines
  • Ultra low latency network infrastructure deployment
  • Trading infrastructure from scratch
  • Job scheduling infrastructure api development
  • Crm module implementation
  • Advance existing research initiatives
  • Explore new avenues for quantitative research and trading
  • Factor creation in a-share market
  • Factor evaluation across strategy scenarios

Hiring Activity

Decelerating25 roles · 7 in 30d

Department

Engineering
12
Research
6
Finance
3
Data
2
Ops
2
Legal
1
Support
1

Seniority

Mid
9
Senior
8
Intern
5
Junior
4
Manager
1
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About AlphaGrep

Founded in 2010, AlphaGrep researches and executes algorithmic trading strategies across all asset classes on over 30 exchanges globally. The firm uses advanced statistical and mathematical techniques to identify market inefficiencies, then deploys them through low-latency trading systems paired with risk management controls. The company operates from Mumbai with a presence in China and Singapore, employing roughly 250–500 people across engineering, research, finance, and operations teams. Hiring is concentrated in India and Asia-Pacific, with a mid-to-senior engineering and research focus.

HeadquartersMumbai
Company Size201–500 employees
Founded2010
Hiring MarketsIndia, China, Singapore

Frequently Asked Questions

What programming languages does AlphaGrep use?

Primary stack is C++, Python, R, and MATLAB. Supporting tools include PyTorch, TensorFlow, Cython, Polars, and ClickHouse for data processing and model development.

What are AlphaGrep's main technical challenges?

Ultra-low latency requirements, monitoring production trading risk in real time, responding to abnormal market conditions, and automation for performance improvement across trading infrastructure.

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