Trading Operations Analyst

5 days ago


Budapest, Budapest, Hungary WorldQuant Full time €1,200,000 - €2,400,000 per year

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role

  • Within European business hours monitor execution across equities, FX, Futures and other asset classes, trading in different regions.
  • Provide first-line support for any issues arising from the automated execution flow.
  • Conduct project work in areas including adding new liquidity to the execution platform and reducing the cost of implementing WorldQuant's 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 many other teams.

What You'll Bring

  • Degree in a quantitative or technical discipline from a top tier institution
  • 2+ years of work experience gained in a buy-side or sell-side institution in a Trading, DevOps or Analytics role supporting investment strategies
  • Enthusiasm to learn more about financial markets and execution trading
  • Experience with scripting languages (Python) and databases (SQL) a strong plus
  • Experience with at least one mainstream asset class (equities, FX, fixed income, credit, derivatives)

What We Offer

  • Competitive compensation package
  • Core benefits include: premium private health insurance and life insurance with savings plan
  • Support for every aspect of life through Employee Assistance Program and fully covered sick leave
  • Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences
  • Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams

By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.

Copyright 2025 WorldQuant, LLC. All Rights Reserved.

WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.



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