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Security Operations Engineer

$150k - $250k

Hudson River Trading

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world's most advanced computing environments to power our global trading operations.

HRT is seeking an experienced Security Engineer to join our growing Security Operations team. In this role, you'll have the opportunity to design, build, and support strategic solutions that protect and maintain HRT's global cyber security systems.

We are looking for someone with exceptional engineering and cross-functional communication skills. The ideal candidate is proficient in a programming language (Python preferred), has deployed and maintained automated systems, and has experience with security data engineering. This role also requires robust technical troubleshooting skills and exceptional organizational and project management skills.


Responsibilities
  • Help maintain and enhance HRT's security detection and response program to protect our data and intellectual property from both internal misuse and external threats
  • Build and maintain end-to-end pipelines to ingest, parse, map, enrich, visualize, and analyze raw logs from disparate sources
  • Design, build, and maintain innovative solutions to supercharge incident response
  • Respond to malicious activity and anomalous events on HRT's devices and networks
  • Maintain and enhance HRT's data loss prevention systems to better detect advanced insider threats
  • Foster strong cross-functional relationships with HRT's global teams and external vendors
Qualifications
  • 5+ years of experience in a security engineering role
  • Extensive programming experience, preferably in Python
  • Experience designing, building, and maintaining automated systems
  • Strong security fundamentals (SOC experience is a plus)
  • Experience with security data engineering (ELK stack is a plus)
  • Experience working with and securing Linux systems (Debian is a huge plus!)
  • Willingness to work an on-call rotation during business hours and one weekend per month

The estimated base salary range for this position is $150,000 - $250,000 per year, based on job-related skills and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Culture

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.


At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We're a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization-from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we're friends and colleagues - whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.

Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we'd love to get to know you.

Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.
Vacancy posted 5 days ago
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