Two Sigma is an investment manager using scientific research, data analysis and technology to develop strategies.
Data Operations Analyst - Global Data Operations
Two Sigma is recruiting a Data Operations Analyst for its Global Data Operations team in London. The role involves managing production alerts, improving operational procedures and checking the quality of financial data using SQL, Linux, Bash or Python.
Information about Two Sigma
- Official domain
- twosigma.com
- Open jobs
- 5
Job details
The full description published by Two Sigma.
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.
Requirements
- Strong attention to detail
- exceptional verbal and written communication
- BS in a technical discipline
Apply for this job
How do I apply?
The job is published on Two Sigma’s website. Open the original posting ↗ to submit your application. Screeningpass does not fill in a form for you.
Who should you write to at Two Sigma about this role?
Start a contact search from this page. Screeningpass suggests up to three people connected to the role. Choose whom to write to, then Screeningpass looks for their professional email and prepares a message. You review it and send it yourself with Gmail. An email address is not always available, and a reply is never guaranteed.
How much does finding a contact cost?
A search costs 1 credit. Your credit is returned if the search fails. Signing up gives you 3 credits, enough for 3 searches.
What does Screeningpass do?
Screeningpass brings together internships, apprenticeships and jobs published by companies. For a job, Screeningpass finds someone to contact at the company, looks for their professional email and prepares a message using your CV. See how it works in detail.