echoloc

Graham Capital Management, L.P. Tech Stack

Alternative investment firm with quantitative and discretionary strategies managing $20B AUM

Investment Management Rowayton, Connecticut 201–500 employees Founded 1994 Privately Held

Graham Capital is a multi-strategy hedge fund built on quantitative and systematic trading infrastructure. The tech stack reflects a mature financial engineering operation: Bloomberg, Python, XGBoost for modeling; FIX Protocol, Refinitiv, and custom execution systems for trading; Kubernetes, Docker, and multi-cloud (AWS, Azure, GCP) for infrastructure. Current hiring is concentrated in finance and data roles with mid-level focus, suggesting scaling of signal development and portfolio operations rather than foundational tech buildout.

Tech Stack 26 technologies

Core StackPython Kubernetes Docker OpenShift AWS C# SQL Server Angular Vue C++ VMware Bloomberg XGBoost VBA Red Hat Enterprise Linux Azure GCP .NET Framework Subversion NuGet ASP.NET MVC FIX Protocol Refinitiv Ivanti iOS Android

What Graham Capital Management, L.P. Is Building

Challenges

  • Improving trading systems
  • Reducing simulation-actual performance gap
  • Reducing execution costs
  • Enhancing treasury platform
  • Margin dispute resolution
  • Reconciliation accuracy
  • Improving trading system performance
  • Scaling portfolio flexibility
  • Creating systematic trading signals
  • Operational due diligence support

Active Projects

  • Portfolio construction and optimization methods
  • Proprietary execution strategies for futures and fx
  • Intraday systematic strategies for futures and fx
  • Market microstructure research for trading signals
  • Improving current trading systems
  • Developing systematic trading signals
  • Improving existing trading signals
  • Developing new futures and fx signals
  • Electronic trading order execution systems
  • Develop production-grade ai/ml models for tradable signals

Hiring Activity

Accelerating10 roles · 7 in 30d

Department

Finance
4
Data
3
Research
2
Engineering
1
Legal
1
Support
1

Seniority

Mid
8
Manager
2
Junior
1
Senior
1
Company intelligence

Find more companies like Graham Capital Management, L.P. by tech stack, pain points and active projects

Get started free

About Graham Capital Management, L.P.

Graham Capital Management is an alternative investment firm managing approximately $20 billion in assets for global pensions, sovereign wealth funds, endowments, foundations, and qualified investors. Founded in 1994, the firm operates from Rowayton, Connecticut and focuses on quantitative and discretionary investment solutions across global macro, trend-following, and multi-strategy mandates. The organization spans 201–500 employees and emphasizes collaboration between quantitative researchers, traders, engineers, and portfolio managers to generate diversified, non-correlated returns.

HeadquartersRowayton, Connecticut
Company Size201–500 employees
Founded1994
Hiring MarketsUnited States

Frequently Asked Questions

What is Graham Capital Management's AUM?

As of May 1, 2025, Graham Capital manages approximately $20 billion in assets on behalf of global institutional and qualified investors.

What tech stack does Graham Capital use?

Graham Capital's stack includes Bloomberg, Python, XGBoost, C++, C#, .NET, FIX Protocol, Refinitiv, Kubernetes, Docker, AWS, Azure, GCP, and SQL Server for quantitative modeling, trading execution, and infrastructure.

Where is Graham Capital Management headquartered?

Graham Capital is headquartered in Rowayton, Connecticut, with convenient access to New York City.

Similar Companies in Investment Management

Other companies in the same industry, closest in size

How this profile is built

Graham Capital Management, L.P.'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.