Trexquant

Quantitative trading via ML models

Python Engineer - Trade Operations

Quantitative DevelopmentUpdated on Nov 13

Full-time

About the Job

Requirements

A BS or MS in Computer Science, Information Technology, or a STEM-related field is required.
At least 3 years of experience in a similar role is required; financial services industry experience is preferred.
Strong proficiency with Linux systems is required.
Strong proficiency with Python is required.
The role requires interfacing with internal and external clients.
Candidates must understand Market Data and Order Entry systems and have an interest in modern electronic markets.

Responsibilities

Design and drive continual improvement of the trading platform using Python.
Support implementation of new trade functionality, such as new asset classes or new prime brokers, including establishing FIX sessions, file encryption, and FTP setup.
Monitor trading systems and infrastructure components to ensure optimal performance and reliability.
Proactively identify and resolve potential issues to minimize downtime and optimize system efficiency.
Respond promptly to system alerts and incidents, investigate root causes, and implement solutions to prevent recurrence.
Collaborate with senior leadership, quantitative researchers, engineers, and the business team to support their initiatives.

Desired Qualifications

Experience in the financial services industry is preferred.
Leveraging automation tools, including AI-based solutions, to improve accounting or operational workflows is a plus.

Python Engineer- Trade Operations (USA)

Trexquant Investment · New York, United States (Hybrid) · Full-time · Posted 2026-08-19

Workplace: hybrid

Department: Technology

Description

Trexquant is a growing systematic fund manager with a core team of highly accomplished technologists. We seek a Python Engineer to join our team. The successful candidate will be responsible for ensuring the smooth operation and performance of our trading systems and infrastructure as we scale. This includes systems monitoring, incident response, troubleshooting and systems performance optimization. The successful candidate will also collaborate with senior leadership, quantitative researchers, engineers, and the business team to support their initiatives.

Responsibilities:

Design and drive the continual improvement of our trading platform using Python.
Support implementation of new trade functionality such as new asset classes or new prime brokers e.g. establish FIX sessions, file encryption, FTP setup.
Monitor trading systems and infrastructure components to ensure optimal performance and reliability.
Proactively identify and resolve potential issues to minimize downtime and optimize system efficiency.
Leverage automation tools (including AI-based solutions) to improve accounting or operational workflows is a plus.
Respond promptly to system alerts and incidents, investigating root causes and implementing solutions to prevent recurrence.

Requirements

BS/MS in Computer Science, Information Technology, or STEM-related field.
3+ years of experience in a similar role, preferably within the financial services industry.
Strong proficiency in Linux systems.
Strong proficiency with Python.
Excellent communication skills and enjoy interfacing with clients, both internal and external.
Excited to work independently in a very fast-paced, high pressure environment.
Understand Market Data/Order Entry systems and an interest in how modern electronic markets work.

Benefits

Competitive salary plus bonus based on individual and company performance
Collaborative, Casual, and friendly work environment
PPO Health, dental and vision insurance premiums fully covered for you and your dependents
Pre-tax commuter benefits
Weekly company meals

Applications are open for both Stamford, CT and New York City offices.

The base salary range is $150,000–$200,000, depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.

Trexquant is an Equal Opportunity Employer

Apply

Apply at Trexquant Investment

About the Company

Trexquant

Quantitative trading via ML models

Trexquant is a quantitative finance firm that builds multi-asset portfolios using machine learning. It develops investment and research tools that ingest a wide range of data variables to create complex trading models and strategies, which in turn generate trading signals. These signals guide decisions across global markets. The product works by applying advanced machine learning to large datasets to create predictive models and rule-based strategies, which drive portfolio construction and trading actions through the firm’s platform. Trexquant differentiates itself by emphasizing the breadth of data it uses and the depth of machine-learning driven models to craft multi-asset portfolios, aiming to produce signals that outperform global market conditions. The company’s goal is to generate investment performance that beats benchmarks by using data-driven signals and diversified, multi-asset strategies.

Company size: 51-200
Company stage: Not listed
Total funding: Not listed
Headquarters: Stamford, CT
Founded: 2012

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