Python Software Engineer - Portfolio Analytics

Reposted 9 Days Ago
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Budapest
In-Office
Mid level
Financial Services
The Role
The role involves managing portfolio analytics, coding applications on Linux, interfacing with users for requirements, and supporting deployment and legacy systems.
Summary Generated by Built In

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: WorldQuant is seeking an exceptionally talented individual to join our Portfolio and Treasury Services team. We are responsible for portfolio analytics involving calculation of various portfolio performance measures such as P&L, Asset Valuations and Risk. We directly interact with Portfolio managers & Senior Management helping them to manage the firm’s trading book balances & optimize the cost of trading. Successful candidates will participate in all facets of a project’s life cycle from design, implementation, testing, documentation and deployment.

  • Design, code, and debug operations, reporting, pre & post trade analysis applications on Linux platforms.
  • Interface with users to gather, analyze and spec out requirements, develop/test code, and manage product deliverables to targeted release dates.
  • Work closely with operations support team for deployment and training as well as provide support for new and legacy applications.

Its Impact: The candidate will be working on technology platform that has direct impact to the success of our firm.  As a key member of the team, the candidate will have the opportunity to offer new technology solutions to help improve our capabilities.

What You’ll Bring:

  • Degree in a quantitative or technical discipline
  • Strong understanding and hardcore user of Python or other high level language like C# or Java
  • Experience building Web UI application with React and TypeScript
  • Ability to excel in a fast paced, agile environment
  • Ability to understand complex systems; be in command of the details to provide solutions
  • Advanced working SQL knowledge and experience working with relational, columnar and alternative data stores
  • Experience building and optimizing ‘big data’ pipelines, architectures and data sets
  • Demonstrated ability to design and develop scalable software
  • Self-motivated and take initiative with minimal direction
  • Possess excellent written and oral communication skills
  • Experience in Kubernetes, Kafka and Airflow a plus

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 

#LI-MH1

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.

Top Skills

Airflow
C#
Java
Kafka
Kubernetes
Python
React
SQL
Typescript
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The Company
HQ: Old Greenwich, CT
2,008 Employees
Year Founded: 2007

What We Do

WorldQuant is a global quantitative asset management firm with over $7 billion in assets under management. Founded in 2007 by Igor Tulchinsky with the belief that talent is global, but opportunity is not, WorldQuant has more than 1,000 employees spread among 26 global offices. WorldQuant seeks to get to the future faster, guided by the principle that there are an infinite number of insights to discover. The firm develops and deploys investment strategies across a variety of asset classes in global markets. For more information on WorldQuant’s philosophy and culture, please visit www.worldquant.com.

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