Job description

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 projects while working collaboratively with researchers. 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: We are looking for an exceptionally strong software engineer to join our Technology organization at WorldQuant. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. This is an AI-forward team: large language models (LLMs) and AI agents are part of our daily workflow — from writing and reviewing code, to automating operational toil, to building internal copilots and agentic tools that the whole team relies on. You won't just use AI to move faster; you'll help shape how it's applied across our engineering practice. Design and build data pipelines and the data layer. Develop and maintain the computational frameworks and infrastructure that run our quantitative strategies at scale. Implement and enhance quant-related software systems for data, research, portfolio construction, and trading. Work closely with Researchers, and Quants as a hands-on engineering partner, helping them turn ideas into robust production solutions. Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation. Build and integrate AI-powered tooling - LLM agents, copilots, and automation - into engineering and research workflows. Use AI coding assistants and agentic developer tools to ship higher-quality software faster. What You’ll Bring: Degree in a technical or quantitative discipline from a top tier institution. 3 to 8 years of working experience in software engineering. Demonstrated ability to program in Python (preferred) or C++ on Linux/Unix platforms, familiarity with scripting languages. Experience with effective code version control, as well as Continuous Integration and Deployment. Exceptional communication skills in both verbal and written form. Excellent problem-solving abilities and judgment with strong attention to detail. Mature and thoughtful, with the ability to operate in a collaborative, team-oriented culture. Motivated by the transformational effects of technology-at-scale. Experience with AI technologies, such as LLMs and agentic AI, along with their use cases would be beneficial. Experience in finance is a plus but not required. What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events, monthly team lunch – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-QM1 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.

Requirements

Must-haves

Design and build data pipelines and the data layer.
Develop and maintain the computational frameworks and infrastructure that run our quantitative strategies at scale.
Implement and enhance quant-related software systems for data, research, portfolio construction, and trading.
Work closely with Researchers, and Quants as a hands-on engineering partner, helping them turn ideas into robust production solutions.
Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation.
Build and integrate AI-powered tooling - LLM agents, copilots, and automation - into engineering and research workflows.
Use AI coding assistants and agentic developer tools to ship higher-quality software faster.
Degree in a technical or quantitative discipline from a top tier institution.
3 to 8 years of working experience in software engineering.
Experience with effective code version control, as well as Continuous Integration and Deployment.
Exceptional communication skills in both verbal and written form.
Excellent problem-solving abilities and judgment with strong attention to detail.
Mature and thoughtful, with the ability to operate in a collaborative, team-oriented culture.
Motivated by the transformational effects of technology-at-scale.
Experience with AI technologies, such as LLMs and agentic AI, along with their use cases would be beneficial.

Nice-to-haves

Demonstrated ability to program in Python (preferred) or C++ on Linux/Unix platforms, familiarity with scripting languages.
Experience in finance is a plus but not required.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmpython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance