Data Operations Analyst - Global Data Operations
Two Sigma · London, United Kingdom · 3d ago
Mid levelOn-siteData & Analytics
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 London. 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 underlying 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 London-hours operational role within a global team supporting trading 24/5 across Houston, Tokyo, and London. The work is interrupt-driven and time-sensitive, with early starts (from approximately 7:00 AM London time) to cover the period before and during the trading day. Out-of-hours and weekend support are not required.