Jane StreetMarket Data Specialist, Metadata
AI in this role
About the Position
We’re looking for a Market Data Specialist to join our Metadata team, working on improving and supporting our internal golden copy Security Master and Corporate Action Management systems. You’ll be responsible for configuring our systems to improve data quality, helping with data cleaning and validation, solving support issues for internal clients, and interfacing with our data providers.
You’ll be embedded into the Metadata Systems Engineering team and will work with software developers, traders, and operations professionals across the firm.
Responsibilities include:
- Investigating data quality and reliability issues
- Interfacing with exchanges or data vendors, raising, tracking, and resolving issues
- Helping us (the Metadata team and internal clients) understand our data better
- Potentially advising on solutions, e.g., changing monitoring
- Configuring internal services/tools and adding overrides
About You
- Strong debugging and troubleshooting skills
- Excellent written and interpersonal communication skills
- Experience with financial instrument metadata, especially reference data preferred
- Programming experience in any language and knowledge of SQL or other database language(s)
- Confident in a Linux/Unix command-line-driven environment
- Responsible, organised, and great attention to detail
- Operations, support, and customer-centric experience a plus
- Fluency in English required
If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.
How we rate this
Market Data Specialist, Metadata at Jane Street rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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