Junior Execution Trader - Global Markets & Automation

Aplaro Ltd; New York (NY); On-site; USD 125,000 - 150,000; Full time

Benefits offered by this job

Fully paid medical and dental

Flexible spending account

401k

Fully paid parental leave

Generous PTO

Employee discounts

Professional development

Job summary

WorldQuant is seeking a role focused on monitoring execution across equities, FX, futures and other asset classes, providing first-line support for the automated execution flow, and conducting project work to expand liquidity and reduce costs. You will analyze large datasets to improve desk processes and interact with Portfolio Managers, Brokers, and senior teams in NYC.

The ideal candidate has a quantitative degree, 1+ year in trading/analytics, and familiarity with Python and SQL.

Qualifications

• Degree in a quantitative or technical discipline from a top tier institution.
• 1+ year of experience in buy-side or sell-side trading, DevOps or analytics supporting investment strategies.
• Experience with Python and SQL is a strong plus.

Responsibilities

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

Skills

Python

SQL

Trading knowledge

Education

Degree in quantitative or technical discipline

Job description

WorldQuant is seeking a role focused on monitoring execution across equities, FX, futures and other asset classes, providing first-line support for the automated execution flow, and conducting project work to expand liquidity and reduce costs. You will analyze large datasets to improve desk processes and interact with Portfolio Managers, Brokers, and senior teams in NYC.

The ideal candidate has a quantitative degree, 1+ year in trading/analytics, and familiarity with Python and SQL.