The Role
Investigate and resolve production data alerts, create and improve operational runbooks, validate financial datasets, analyze data for trends and root causes, and improve data-management processes. The role supports time-sensitive global trading operations across Tokyo, Houston, and London, collaborating with engineers, analysts, and business partners to improve operational accuracy, efficiency, and risk management.
Summary Generated by Built In
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.
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:
You should possess the following qualifications:
Preferred experience:
Hours notice:
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.
Skills Required
- Minimum 1 year of professional experience
- Bachelor’s degree in a technical discipline or equivalent hands-on experience in a comparable operational or technical role
- Comfort using the UNIX/Linux command line
- Experience querying databases with SQL
- Ability to read logs and navigate file systems, schedulers, and storage
- Exposure to scripting with Bash, Python, or a similar language
- Ability to work across Linux and Windows and between command-line and graphical tools
- Strong attention to detail and exceptional verbal and written communication
- Professional experience in data operations, technical operations, systems support, data analysis, process engineering, systems administration, QA, or a comparable structured operational discipline
- Hands-on experience with data-management and data-quality tasks in data-intensive environments
- Interest in developing knowledge of finance and trading
- One to five years of experience
Two Sigma Compensation & Benefits Highlights
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Strong & Reliable Incentives — Compensation packages for technical roles include substantial performance-based bonuses that create notable upside potential. This structure is described as a key reason total pay feels strong, particularly versus mainstream technology roles.
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Healthcare Strength — Healthcare is described as premium-free for employees and eligible dependents, complemented by life and disability coverage. This comprehensive offering is frequently highlighted alongside positive views of the broader benefits package.
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Parental & Family Support — Support includes financial assistance for family building, paid leave for caregivers, additional bonding time, and backup or discounted in-home childcare in some locations. These programs are presented as a meaningful part of the overall benefits.
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The Company
What We Do
Two Sigma is a leading quantitative investment management and trading firm with more than $80 billion in assets under management. 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. Founded in 2001, Two Sigma employs over 1,700 curious minds at its headquarters in New York and in offices around the globe.
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Two Sigma Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Flexible
