Low-Latency Market Data Engineer

Point72 Asset Management, L.P; New York (NY); On-site; USD 150,000 - 250,000; Full time

Job summary

Point72 Asset Management, L.P. is seeking a detail-oriented Low-Latency Market Data Engineer with 10+ years of experience to design, build, and support Linux-based market data systems in a fast-paced environment.

You will work on co-located infrastructure, engage with vendors, and implement monitoring and automation to optimize performance and MTTR across global teams. Strong OS, networking, and scripting skills are essential.

Qualifications

• 5+ years in network design for trading or enterprise services.
• 5+ years Linux System Administration in RHEL environments.
• Experience with high frequency trading (HFT) environments in co-locations.
• Experience with Market Data and/or third-party feed handlers.
• Experience tuning Linux servers for low latency and high throughput.

Responsibilities

• Design, engineer, implement and 3rd-level support of Linux and Market Data systems.
• Manage, communicate, and implement infrastructure changes, upgrades, and migrations on co-located devices and Linux servers.
• Support, monitor, and maintain co-location market data infrastructure running on RHEL.
• Engage with vendors on protocol upgrades and operational issues.
• Analyze packet captures and liaise with Market Data capture vendors on issues and performance.
• Implement a strategic monitoring platform with Prometheus and Grafana.
• Develop and expand AI-based tools that link to data sources for instrumentation and MTTR.
• Automate data gathering and configuration changes with Ansible, GitHub, NetBox

Skills

Bash/Python scripting

Linux administration

Networking design

HFT experience

Automation tooling

Monitoring

Tools

Ansible

Terraform

NetBox

GitHub

Bitbucket

Prometheus

Grafana

Job description

A Career with Point72’s Infrastructure Group

As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.

Our Technology Infrastructure team engineers and operates the foundational technology platforms that power all Point72’s applications and businesses. Our disciplines span a broad array of technologies from datacenter infrastructure to large scale cloud services, with the shared goal of providing the most reliable, performant, modern technology platforms to improve time-to-market for our business. We also deliver end-user technology solutions to support the evolving collaboration, and productivity needs of our global teams. Our team focuses on innovation and challenging the current state of our infrastructure technology in a fast-paced, dynamic, and collaborative working environment.

We are looking for a detail-oriented and dedicated Low-Latency Market Data Engineer with at least 10 years of experience in the design, implementation, and support of Linux/Unix operating systems.

What you’ll do

In this role, you will work as part of a team responsible for the design, engineering, implementation, and 3rdlevel support of the Linux and Market Data systems. Specifically, you will:

• Manage, communicate, and implement infrastructure changes, upgrades, and migrations on co-located network devices and Linux servers
• Support, monitor, and maintain co-location market data infrastructure running on RHEL
• Engage with vendors and exchanges on protocol upgrades (EDC) and operational issues
• Analyze packet captures (gaps, data quality checks)
• Liaise with Market Data capture vendor on issues, upgrades, and performance enhancements
• Implement a strategic monitoring platform with streaming infrastructure (Prometheus / Grafana)
• Develop and expand upon AI based tools that link to key data sources for greater instrumentation, visibility, and MTTR
• Automate both data gathering and configuration changes through tools like Ansible, GitHub, NetBox

What’s required

• 5+ years of network design experience supporting critical trading or enterprise services
• 5+ years of Linux System Administration experience supporting RHEL environments
• Experience supporting high frequency trading (HFT) environments within co-locations
• Experience engineering and supporting Market Data and/or third-party feed handlers
• Experience with tuning Linux servers for low latency, high-throughput and kernel bypass (e.g. Exanic / Solarflare)
• Experience with automation/orchestration tools (A nsible, Terraform)
• Experience with a scripting language (Bash, Python)
• Experience with cloud services and provisioning tools
• Experience with monitoring and instrumentation of infrastructure/applications (Prometheus/Grafana)
• Excellent understanding of Market Data and/or third-party feed handlers
• Ability to be an independent problem solver with troubleshooting, decision making, and analytical skills
• Ability to successfully manage multiple tasks and priorities, identify creative options and solutions, able to analyze data, and the ability to manage internal and external contacts
• Experience with version control repositories (Bitbucket / Github) and CI/CD tools
• Commitment to the highest ethical standards

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

The annual base salary range for this role is $150,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.