Senior Application Support Engineer - Quantitative Hedge Fund - Connecticut

Mondrian Alpha

Connecticut

On-site

USD 120,000 - 180,000

Full time

2 days ago
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Job summary

Mondrian Alpha in Connecticut is seeking an Application Support Engineer to join the Market Access & Platform team. The role connects traders with engineering, overseeing production changes, incidents, and permanent fixes for a complex systematic trading platform.

The ideal candidate has 5–7 years of electronic trading support experience, front‑office familiarity, and strong Python and SQL skills, with an interest in applying AI/LLM tooling to accelerate incident triage and automate repeatable

Qualifications

  • 5–7 years of experience in electronic trading application support.
  • Experience supporting front‑office trading platforms is essential.
  • Familiarity with order entry, execution, market connectivity, market data, and the trade lifecycle.

Responsibilities

  • Oversee production changes and incident handling.
  • Drive recurring issues to permanent resolution and develop tooling to improve stability.
  • Improve monitoring and alerting and conduct root‑cause analysis.

Skills

Python
SQL
Front-office trading
Incident management
Root-cause analysis
Market connectivity

Job description

My client, a leading quantitative investment firm, is seeking an Application Support Engineer to join their growing Market Access & Platform team in Connecticut.

The successful candidate will play a key role in ensuring the stability and reliability of the firm's systematic trading platform. Sitting directly within the front office, this is a hands‑on role at the interface between traders and engineering, overseeing production changes, managing incidents, and driving recurring issues through to permanent resolution.

The ideal candidate will have 5–7 years of experience in electronic trading application support, ideally gained within an investment bank. Strong experience supporting front‑office trading platforms is essential, alongside an understanding of areas such as order entry, execution, market connectivity, market data, and the trade lifecycle.

The role will also involve improving monitoring and alerting, conducting root‑cause analysis, and developing tooling to improve platform stability. Familiarity with Python and SQL is required, alongside an interest in applying AI and LLM-based tooling to accelerate incident triage and automate repeatable processes.

This is an opportunity to move from a traditional bank technology environment into a front‑office role, gain deep exposure to a highly complex systematic trading platform, and benefit from genuine long‑term career progression.

My client offers a highly competitive compensation package, alongside excellent benefits and career progression.

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