Reliability Engineer, Market Data

Two Sigma; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

Two Sigma in London is seeking a Reliability Engineer to help maintain and advance our trading platform, ensuring low-latency delivery of market data and orders across multiple asset classes. You will work with trading desks, implement compliance tooling, and collaborate with exchanges and data providers to minimize outages and improve live production systems performance.

The role offers exposure to global market structures, kernel/networking tuning, and a path to grow within a world-class

Qualifications

• BS/BA in Computer Science or a related technical field.
• 1 year minimum experience; 5+ years preferred in programming with Python/Java/C++.
• Experience with market data production support and/or trade desk support is preferred.
• Linux administration experience; knowledge of networking (kernel bypass) is a plus.
• Proven track record of supporting live production systems.

Responsibilities

• Develop, operate, and maintain the infrastructure to process, stabilize, and redistribute market data in a live production environment.
• Collaborate with trading desks to ensure successful trading and minimal outages.
• Implement and operate tools to ensure compliance with rules and regulations.
• Coordinate with exchanges, counterparties, and data providers to deliver value to trading desks.

Skills

Python

Java

C++

Linux administration

Networking basics

Production support

Education

BS/BA in Computer Science or related field

Job description

Position Summary
Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world’s most complex economic problems.
Two Sigma's Market Data Reliability Engineering team is growing. We are looking for an experienced Reliability Engineer to help to assist in maintaining and advancing our trading platform by working closely with multiple trading teams to ensure the low latency delivery of market data and orders to and from exchanges and other counterparties across a wide variety of asset classes. In this role, you will gain exposure to global market structures for numerous asset classes and low-level performance analysis and tuning.

You Will Take On The Following Responsibilities

• Develop, operate, and maintain the infrastructure vital to ensure that market data is processed, stabilized and redistributed in a live production environment.
• Work with trading desks to ensure successful trading and minimal outages
• Implement and operate tools to ensure compliance with all rules and regulations
• Work directly with exchanges, counterparties, and data providers to bring value to all the trading desks at Two Sigma.

You Should Possess The Following Qualifications

• BS/BA degree in Computer Science or another highly technical, scientific field
• Minimum 1 year of experience required; 5+ years of experience preferred in programming (structured and OO) with one or more high level language (such as Python, Java, C++)
• Experience with market data production support and/or trade desk support, and knowledge of market microstructure, is preferred but not required
• Linux administration experience. In-depth knowledge of networking technology (such as kernel bypass) is preferred, but not required
• Proven track record of supporting live production systems

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.