Two Sigma

Quantitative finance firm building predictive models

Site Reliability Engineer - Market Data

Site Reliability EngineeringConfirmed live in the last 24 hours

Full-timeTokyo, JapanNo salary listedIn-person

About the Job

Requirements

A Bachelor of Science or Bachelor of Arts degree in Computer Science or another highly technical, scientific field.
At least 1 year of experience programming in a structured and object-oriented style with one or more high-level languages, such as Python, Java, or C++.
Linux administration experience.
Experience supporting live production systems.

Responsibilities

Develop, operate, and maintain infrastructure that ensures market data is processed, stabilized, and redistributed in a live production environment.
Work with trading desks to ensure successful trading and minimize outages.
Implement and operate tools to ensure compliance with rules and regulations.
Work directly with exchanges, counterparties, and data providers to provide value to the trading desks.

Desired Qualifications

5 or more years of programming experience in a structured and object-oriented style with one or more high-level languages, such as Python, Java, or C++.
In-depth knowledge of networking technology, such as kernel bypass.
Experience with market data production support and/or trade desk support, and knowledge of market microstructure.

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 looking for a Site Reliability Engineer! On our team, you would maintain and advance 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. Apply today if this sounds interesting to you!

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++)
Linux administration experience. In-depth knowledge of networking technology (such as kernel bypass) is preferred, but not required
Experience with market data production support and/or trade desk support, and knowledge of market microstructure, is preferred but not required
Proven track record of supporting live production systems

About the Company

Two Sigma

Quantitative finance firm building predictive models

Two Sigma is a financial sciences firm that uses data analysis, rigorous inquiry, and invention to tackle complex problems in investment management, securities, private equity, insurance technology, and venture capital. Its product approach centers on building sophisticated predictive models powered by extraordinary computing power and vast data. Modelers and engineers test ideas with information and iterative improvement to drive progress. Compared with many peers, Two Sigma differentiates itself through a data-driven, model-centric investment process that relies on large-scale computing and extensive datasets rather than relying on traditional methods alone. The company aims to solve the toughest challenges in its fields and advance investment outcomes by continuously refining predictive models through experimentation.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: $378.2M
Headquarters: New York City, New York
Founded: 2001

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