Two Sigma

Quantitative finance firm building predictive models

Data Operations Analyst - Global Data Operations

Enterprise ApplicationsConfirmed live in the last 24 hours

Full-timeTokyo, JapanNo salary listed

About the Job

Requirements

Comfort working behind user interfaces with the UNIX/Linux command line, querying databases with SQL, reading logs, navigating file systems, schedulers, and storage.
Exposure to scripting with Bash, Python, or a similar language, and judgment about when scripting is useful versus when a runbook is more appropriate.
Comfort switching between Linux and Windows, database and file-server environments, user interfaces and command-line tools, and text and numerical work.
Strong attention to detail and verbal and written communication skills.
A Bachelor of Science degree in a technical discipline or equivalent hands-on experience in a comparable operational or technical role.
At least 1 year of experience is required.

Responsibilities

Investigate and remediate production alerts using incident-specific runbooks, owning each issue through resolution or escalation.
Author and improve runbooks using existing data-management workflow standards, turning recurring ad-hoc fixes into clear, repeatable procedures that reduce operational risk and increase throughput.
Mine data to surface patterns, help determine root causes, validate data, and reveal trends across large volumes.
Apply predefined acceptance and quality criteria to ensure the integrity of financial data sets.
Collaborate with business partners, software engineers, data analysts, and other data operations specialists to understand and improve business processes.
Recommend and improve data-management policies and procedures to increase efficiency and accuracy.

Desired Qualifications

One to five years of experience is preferred.
Professional experience in data operations, technical operations, or a similar discipline, such as data operations analyst, systems or support engineer, data analyst, process engineer, systems administration, quality assurance, or a structured operational background such as defense analysis, logistics, or maintenance technician work involving step-by-step procedures, data, and tooling.
Hands-on experience performing data-management and data-quality tasks in data-intensive environments.
A desire to grow knowledge of finance and trading.

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.

We are seeking a talented Data Operations Analyst to join our Global Data Operations team in Tokyo. GDO is a service provider for data-driven operations and operational risk management: we create, maintain, and operate the optimized workflows that provide and curate the data used in live trading. You’ll be part of a close-knit, global team whose daily execution is essential to the success of Two Sigma’s business.

This is a hands-on, technical operating role. We are looking for someone who is comfortable at the level of the database, the shell, the job log, and the file system, who can pull apart a problem with a diverse set of tools, and who wants to make our operations measurably better by writing and improving the runbooks we run every day.

You will take on the following responsibilities:

Investigate and remediate production alerts using incident-specific runbooks, owning each issue through to resolution or escalation
Author and improve runbooks, applying existing data-management workflow standards, turning recurring, ad-hoc fixes into clear, unambiguous, repeatable procedures that lower operational risk and increase throughput
Mine our data to surface patterns and help root-cause issues, validate data, and reveal trends across large volumes
Apply predefined acceptance and quality criteria to guarantee the integrity of financial data sets
Collaborate with business partners, software engineers, data analysts, and other data operations specialists to understand and improve business processes
Recommend and improve data-management policies and procedures to improve efficiency and accuracy

You should possess the following qualifications:

Comfort with 'low-level' technology. You can work behind the UI: the UNIX/Linux command line, querying databases (SQL) to mine and validate data, reading logs, and navigating file systems, schedulers, and storage
Exposure to scripting – Bash, Python, or a similar language – and the judgment to know when a script helps and when a runbook is the right answer
A genuine pull toward operations: you like to execute daily, at volume, follow workflows to the letter, and feel the immediate impact of work done right
Comfort switching between systems and tools – Linux/Windows, database/file-server, UI/command-line, text/numbers – without being dependent on a single framework
Strong attention to detail and exceptional verbal and written communication
BS in a technical discipline or equivalent hands-on experience in a comparable operational or technical role
Minimum 1 year of experience required; 1-5 years of experience preferred

Preferred experience:

Professional experience in data operations, technical operations, or a similar discipline – e.g. data operations analyst, systems/support engineer, data analyst, process engineer, systems administration, QA, or a structured operational background such as defense analysis, logistics, or maintenance technician work where you followed and built step-by-step procedures and worked with data and tooling
Hands-on experience performing data-management and data-quality tasks in data-intensive environments
A desire to grow your knowledge of finance and trading

Hours notice:

This is a Tokyo-hours operational role within a global team that supports trading 24/5 across Houston, Tokyo, and London. Support is interrupt-driven and time-sensitive.

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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