Trexquant Investment LP Tech Stack

Quantitative trading firm building ML-driven multi-asset strategies and execution systems

Financial Services Stamford, Connecticut 51–200 employees Founded 2012 Partnership

Trexquant operates a quantitative trading platform where Python, PyTorch, and Hugging Face sit alongside C++, Kubernetes, and cloud infrastructure (AWS, GCP, Azure) — a stack built for both research velocity and low-latency execution. The hiring mix skews heavily toward engineering and research (27 of 40 open roles), with active projects spanning alpha development, high-frequency trading systems, and a comprehensive execution platform revamp, indicating a firm scaling research output while modernizing infrastructure to handle real-time signal generation and trade execution at volume.

Tech Stack 52 technologies

Core StackPython NumPy Pandas PyTorch Hugging Face OpenAI C++ Java Apache Spark AWS Docker Kubernetes Figma Windows 11 macOS PowerShell Bash Dell VBA NetApp Parquet Arrow GCP Azure TCP UDP SciPy Perl Refinitiv Protocol Buffers+19 more

What Trexquant Investment LP Is Building

◆Challenges

Optimizing low-latency performance
Scaling research platform
Scaling trading infrastructure
Scaling etf strategies
Optimizing trade execution
Increase alpha production
Maintain research standards
Scaling research group
Expanding tradable universe
Revamping execution platform

▲Active Projects

Data pipelines
Alpha development
Etf simulation and trading infrastructure enhancement
High-performance short-term trading signals
Systematic etf trading strategy development
Backtesting and live trading integration
Data source integration
Comprehensive revamp of existing execution platform
Low-latency high-frequency trading system development
Internal data applications

Hiring Activity

Accelerating40 roles · 20 in 30d

Department

Engineering

Research

Data

Finance

Seniority

Mid

Senior

Lead

Intern

Notable leadership hires: Quantitative Research Head

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About Trexquant Investment LP

Trexquant is a quantitative investment firm founded in 2012, headquartered in Stamford, Connecticut, with 51–200 employees. The firm develops multi-asset trading strategies using machine learning and statistical methods across equity, derivatives, and ETF products. The platform ingests data from sources like Refinitiv, runs backtesting and live trading workflows on Spark and cloud infrastructure, and generates trading signals aimed at systematic outperformance. Research and execution teams are distributed across the US, China, India, and Canada.

HeadquartersStamford, Connecticut

Company Size51–200 employees

Founded2012

Hiring MarketsUnited States, China, India, Canada

Frequently Asked Questions

What programming languages does Trexquant use?

Python is the primary research language; C++ handles low-latency execution systems. Supporting languages include Java, Perl, VBA, PowerShell, and Bash for infrastructure and automation.

What is Trexquant working on?

Active projects include alpha development, high-frequency and ETF trading signal systems, backtesting-to-live trading integration, low-latency infrastructure, and a comprehensive revamp of the execution platform.

How this profile is built

Trexquant Investment LP's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.