Python Engineer- Trade Operations (USA)

Posted One Month Ago
2 Locations
In-Office
150K-200K Annually
Mid level
Machine Learning • Business Intelligence
The Role
Design and improve trading platforms with Python, support new trade functionality and integrations, monitor systems and infrastructure, respond to incidents, troubleshoot root causes, and optimize performance and reliability. Collaborate with quantitative researchers, engineers, senior leadership, and internal and external clients. The role also supports automation of accounting and operational workflows and requires understanding of market data and order-entry systems.
Summary Generated by Built In

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

Skills Required

  • Bachelor’s or master’s degree in Computer Science, Information Technology, or a STEM-related field
  • 3 or more years of experience in a similar role, preferably in financial services
  • Strong proficiency with Linux systems
  • Strong proficiency with Python
  • Excellent communication skills and ability to interface with internal and external clients
  • Ability to work independently in a fast-paced, high-pressure environment
  • Understanding of market data and order-entry systems, with interest in modern electronic markets
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The Company
HQ: Stamford, CT
67 Employees
Year Founded: 2012

What We Do

Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.

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