Level

Virtu

Weekend Trader

AI in this role

Virtu is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide.

THE ROLE

Virtu's trading desks operate globally across a wide range of asset classes, leveraging our advanced trading technology to develop and enhance our strategies and trading operations across both proprietary and client-facing businesses.

As global markets continue to expand toward 24/7 trading, Virtu is seeking traders who are specifically available to cover weekend sessions. Our Weekend Traders are not expected to work more hours than a standard schedule - but must be open to including Saturdays and/or Sundays as part of their regular workweek.

Our Weekend Traders are risk managers that help to keep our trading systems and strategies running smoothly, providing critical operational support and maintaining our high-performance algorithmic trading strategies. Duties will include:

  • Supervising and optimizing strategy performance
  • Intraday market and credit risk management
  • Basic back office and site reliability monitoring
  • Communication and coordination with the larger global trading team

Our ideal candidate is dependable, trustworthy and has the confidence to oversee our trading business during atypical working hours. This candidate will also have the opportunity to work closely with software engineers to enhance and further develop the firm's trading strategies. Our Traders not only become experts in trading technology and its interaction with the market, but they also play a crucial role in the evolution of market microstructure and the driving forces behind liquidity. This is an excellent opportunity for the right person to join a collaborative, fast-growing team, while learning trading at a leading market maker.

THE CANDIDATE

  • Bachelor's degree in a quantitative field preferred. Strong graduates will also be considered.
  • 1-3 years' experience working at a financial institution.
  • Prior trading experience is a plus, but not required. Ideal candidate would have a strong interest to learn and grow within a global trading environment.
  • Programming experience is required (Python, SQL, Java or C++).
  • Dependable, trustworthy and highly self-motivated and self-disciplined individual.
  • Outstanding quantitative problem-solving skills and mathematical aptitude.
  • The ability to communicate information precisely and with agility.
  • A physicalizer; a person who identifies issues and creates solutions without rigid direction or fanfare.
  • Open to a work schedule that includes Saturdays and/or Sundays as regular working days.

THE PROCESS

After applicants pass an initial resume screening, an online programming test will be sent via email. This test is from a service called HackerRank so please be on the lookout. After passing the programming test, we will contact you to arrange a phone screen with one of our recruiters.

Virtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

How we rate this

Weekend Trader at Virtu rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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