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Company profile

Trexquant Investment LP Tech Stack

Systematic quant investment firm building ML-driven multi-asset trading signals

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

Trexquant is a Stamford-based quantitative investment partnership running systematic, machine-learning-driven strategies across asset classes. Its stack pairs a Python research core (NumPy, Pandas, PyTorch) with C++ execution, Spark/Arrow/Parquet data tooling and multi-cloud infrastructure on AWS, GCP and Azure. Hiring is research- and engineering-heavy but decelerating, with open Chief Operating Officer and Quantitative Research Head seats signaling a leadership build-out.

Tech Stack 50 technologies

Core StackPython NumPy Pandas PyTorch Hugging Face OpenAI C++ Java Apache Spark AWS Kubernetes GitLab CI/CD Prometheus Grafana Elasticsearch Docker Figma TypeScript Next.js Windows 11 Dell NetApp Parquet Apache Arrow GCP Azure SciPy Perl Refinitiv Protocol Buffers+20 more

What Trexquant Investment LP Is BuildingChallenges and projects from their job posts

◆Challenges

  • Optimizing execution of multi-billion notional trades
  • Increasing alpha via next-generation ML strategies
  • Scaling the quant research platform for growth
  • Improving trading infrastructure performance and scalability
  • Scaling up the volatility research group

▲Active Projects

  • Backtesting and live trading integration
  • Systematic ETF strategies and simulation infrastructure
  • Market-neutral alpha and trading signal development
  • Data pipelines and new data source integration
  • Trading cost model updates
  • Systematic strategy development across asset classes

Hiring Activity

Decelerating50 roles · 4 in 30d

Department

Research
16
Engineering
15
Data
10
Finance
3
Legal
3
Executive
1
HR
1
Ops
1

Seniority

Mid
23
Senior
15
Lead
7
Junior
3
C-Level
1
Intern
1

Notable leadership hires: Chief Operating Officer, Quantitative Research Head

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About Trexquant Investment LP

Trexquant Investment LP is a quantitative investment firm founded in 2012 and headquartered in Stamford, Connecticut. It builds multi-asset portfolios using machine learning models that turn large sets of data variables into systematic trading signals. The firm operates with 51–200 employees and recruits across the United States, China, India and Canada. Its teams are concentrated in quantitative research, engineering and data, supported by finance, legal and operations functions.

HeadquartersStamford, Connecticut
Company Size51–200 employees
Founded2012
Hiring MarketsUnited States, China, India, Canada

Frequently Asked Questions

What tech stack does Trexquant use?

Trexquant uses Python, NumPy, Pandas, PyTorch and C++ for research and trading, Apache Spark, Arrow and Parquet for data, plus AWS, GCP, Azure, Kubernetes, Docker, GitLab CI/CD, Prometheus and Grafana.

Where is Trexquant headquartered?

Trexquant Investment LP is headquartered in Stamford, Connecticut, and also hires in China, India and Canada.

What is Trexquant working on?

Current work includes market-neutral signal development, systematic ETF trading strategies, integrating backtesting with live trading, new data pipelines and data source integration, and trading cost model updates.

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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.