Role at a glance
- Salary
- Not Disclosed
- Location
- New York, New York, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Strong data analysis, debugging, and troubleshooting skills Programming experience in any language Experience using SQL and relational databases Responsible, organised, with great attention to detail Excellent written and interpersonal communication skills Operations, support, and/or project coordination experience is a plus While prior experience with financial data would be nice, we don’t expect you to have a finance background.
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Role Summary
The Data Specialist helps maintain and improve the data used for trading, working with an engineering team and colleagues across software development, trading, and operations. The role handles data from multiple sources and works with exchanges and data vendors to resolve issues.
What You'll Do
- Analyze, onboard, validate, and produce large data sets from different sources.
- Collaborate with the direct team and trading desks to understand requirements and improve software.
- Interface with exchanges and data vendors to raise, track, and resolve issues critical to trading.
- Develop domain knowledge to interpret and consume data.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: strong data analysis, debugging, and troubleshooting skills; programming experience in any language; experience using SQL and relational databases; responsibility, organisation, and attention to detail; excellent written and interpersonal communication skills.
Required
- Strong data analysis, debugging, and troubleshooting skills
- Programming experience in any language
- Experience using SQL and relational databases
- Responsible, organised, with great attention to detail
- Excellent written and interpersonal communication skills
Preferred
- Operations, support, and/or project coordination experience is a plus
- Prior experience with financial data would be nice, but a finance background is not expected
Original job description
Content provided by the employer
Original job description
Content provided by the employer
About the Position
We're looking for a Data Specialist to help us understand, improve, and maintain the data that fuels our trading. You'll be embedded in an engineering team and will work closely with software developers, traders, and operations professionals across the firm.
Meeting the needs of these groups involves diverse types of work including analyzing, onboarding, validating, and producing large data sets from many different sources. You'll collaborate closely with your direct team and trading desks to understand requirements and improve our software. In this role, you will interface directly with exchanges and data vendors to raise, track, and resolve issues critical to our trading as well as develop deep domain knowledge to help interpret and consume our data, driving business growth in new areas.
About You
- Strong data analysis, debugging, and troubleshooting skills
- Programming experience in any language
- Experience using SQL and relational databases
- Responsible, organised, with great attention to detail
- Excellent written and interpersonal communication skills
- Operations, support, and/or project coordination experience is a plus
While prior experience with financial data would be nice, we don’t expect you to have a finance background.
About the company
Jane Street
Large Enterprise
Jane Street is a global trading firm that specializes in quantitative and algorithmic trading across various asset classes, including equities, options, and fixed income. Founded in 2000, the company leverages advanced technology and data analytics to drive its trading strategies while maintaining a strong commitment to risk management and collaboration. Known for its dynamic and intellectually stimulating work environment, Jane Street also places a high value on continuous learning and professional development, making it an attractive workplace for individuals interested in finance, mathematics, and computer science.