Low-Latency Trading Operations Engineer

Tradermath

Northern (KY)

Hybrid

USD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Hybrid work opportunities
Generous paid time off
Wellness reimbursement

Job summary

Tower Research Capital in New York City is seeking a software engineer to contribute to low-latency trading infrastructure. You will work on real-time systems, optimize Python code paths, and collaborate with trading and research teams to scale operations.

The role emphasizes strong problem solving, Linux proficiency, and data-driven decisions in a fast-paced, collaborative environment. Hybrid work arrangements are available and training opportunities abound.

Qualifications

  • Bachelor's degree in Computer Science, Engineering or related discipline.
  • 3+ years of professional experience in a related field.
  • Strong software development skills in Python.
  • Working knowledge of Linux operating system.
  • Exceptional analytical abilities, strong communications skills, and experience making data-driven strategic decisions.
  • Strong working knowledge of PNL and Risk reporting applications.
  • Familiarity with current market structure and regulatory developments.
  • Ability to comprehend and diagnose problems in complex real-time systems with minimal guidance.
  • Capacity to work equally well independently and as a member of a team.
  • Strong understanding of trading technology and fluency in technical concepts.
  • Ability to manage and prioritize multiple projects in a fast-paced environment.
  • Strong problem-solving abilities.

Responsibilities

  • Monitoring high-volume live trading and portfolio risk
  • Contributing to the automated trading operations codebase
  • Managing ongoing projects with various Tower support teams
  • Coordinating software and hardware upgrades
  • Applying programmatic solutions to scale and expand trading operations
  • Resolving discrepancies with trading positions, broker statements, and internal applications

Skills

Python
Linux
Data-driven decisions
Analytical skills
Trading tech

Education

Bachelor's degree in Computer Science, Engineering or related discipline

Job description

Tower Research Capital in New York City is seeking a software engineer to contribute to low-latency trading infrastructure. You will work on real-time systems, optimize Python code paths, and collaborate with trading and research teams to scale operations.

The role emphasizes strong problem solving, Linux proficiency, and data-driven decisions in a fast-paced, collaborative environment. Hybrid work arrangements are available and training opportunities abound.

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