New York, New York, United States
4 years ago

Job Overview

Pay
Not disclosed

Job description

Location:
New York, New York, United States
Work arrangement:
On-site

Role Summary

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.

Role:
Data Specialist

Company profile

Jane Street

janestreet.com

Jane Street is a quantitative trading firm and liquidity provider that focuses on technology and collaborative problem solving. Established in 2000 by a small group of traders and technologists in a New York office, it now has more than 3000 employees across five global offices and trades a broad range of asset classes on more than 200 venues in 45 countries. Alongside its proprietary trading, Jane Street commits its capital, technology and expertise to help institutions meet their trading goals, and it works in areas from functional programming to machine learning.

Founded
2000

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