Junior Execution Trader - Quantitative Global Markets

WorldQuant LLC

New York (NY)

On-site

USD 125,000 - 150,000

Full time

10 hours ago
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Benefits offered by this job

Fully paid medical and dental
401k
Parental leave
Paid time off

Job summary

WorldQuant LLC is seeking a quantitative/technical professional for a role in New York City to monitor execution across asset classes and regions. You will provide first-line support for automated execution issues and participate in projects to enhance liquidity and reduce implementation costs.

The ideal candidate has 1+ years in trading, DevOps or analytics, with Python and SQL experience and knowledge of multiple asset classes. The position offers a competitive total compensation package.

Qualifications

  • Degree in a quantitative or technical discipline from a top tier institution.
  • 1+ years of work experience in trading, DevOps or analytics supporting investment strategies.
  • Experience with Python and SQL.
  • Experience with at least one mainstream asset class (equities, FX, fixed income, credit, derivatives).

Responsibilities

  • Monitor execution across equities, FX, futures and other asset classes, trading in different regions.
  • Provide first-line support for issues arising from the automated execution flow.
  • Conduct project work in areas including adding liquidity to the execution platform and reducing implementation costs of WorldQuant models.
  • Analyze large datasets to guide further automation and refinement of execution desk processes.
  • Interface directly with Portfolio Managers, Brokers, Senior Management, Compliance, Risk and other teams.

Skills

Analytical mindset
Enthusiasm to learn
Team collaboration

Education

Quantitative or technical degree

Tools

Python
SQL

Job description

WorldQuant LLC is seeking a quantitative/technical professional for a role in New York City to monitor execution across asset classes and regions. You will provide first-line support for automated execution issues and participate in projects to enhance liquidity and reduce implementation costs.

The ideal candidate has 1+ years in trading, DevOps or analytics, with Python and SQL experience and knowledge of multiple asset classes. The position offers a competitive total compensation package.

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