Night-Shift Prediction Markets Trader

Virtu Careers

Austin (TX)

On-site

USD 90,000 - 150,000

Full time

14 days+
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Job summary

Virtu Financial is seeking a sharp, reliable Prediction Markets Trader to cover our prediction markets book during nights and weekends. This role sits at the intersection of trading, market operations, and emerging alternative markets, requiring strong independent judgment and ownership.

You will work closely with software engineers to enhance trading strategies, gaining exposure to market microstructure and liquidity drivers in a fast-growing team.

Qualifications

  • Bachelor’s degree in a quantitative field preferred.
  • Strong sense of responsibility, reliability, and attention to detail.
  • Solid understanding of probability, expected value, and basic statistics.
  • Experience with Python or SQL for monitoring or data analysis.
  • Ability to work independently with minimal supervision during off-hours.
  • Excellent written communication for shift handoffs and incident documentation.
  • Comfort operating across multiple software platforms simultaneously.

Responsibilities

  • Monitor live prediction market positions across platforms during night and weekend shifts.
  • Track real-time event resolution, market liquidity, and price movements; flag anomalies.
  • Maintain position awareness and escalate risk concerns per established protocols.
  • Execute straightforward trades and position adjustments within predefined risk parameters.
  • Monitor automated systems and alert on model or execution anomalies.

Skills

Probability & statistics
Independent work
Python scripting
SQL scripting

Education

Bachelor’s degree in quantitative field

Tools

Python
SQL

Job description

Virtu Financial is seeking a sharp, reliable Prediction Markets Trader to cover our prediction markets book during nights and weekends. This role sits at the intersection of trading, market operations, and emerging alternative markets, requiring strong independent judgment and ownership.

You will work closely with software engineers to enhance trading strategies, gaining exposure to market microstructure and liquidity drivers in a fast-growing team.

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