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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: We are building a new software engineering team with strong applied AI orientation to amplify WorldQuant's success. The team will be focusing on creating company-wide applications to address our colleagues’ every day problems. You will have a chance to work with a broad range of teams at WorldQuant, helping them to be more productive with custom solutions.
- Collaborate with cross-functional distributed teams.
- Gather, analyze and spec out requirements, and manage product deliverables.
- Design and build scalable AI-driven products addressing real-world problems.
- Stay current with the latest technical advancements, particularly in the field of AI and LLMs.
What You’ll bring:
- Strong programming skills, preferably in Python.
- Exceptional analytical skills and a passion for solving complex problems.
- Thorough understanding of how AI works and familiarity with language models.
- Understanding of vector databases and other relevant data structures.
- Working knowledge in various databases and messaging technologies is a strong plus. (SQL, Redis, Kafka etc.)
- Excellent communication skills in English.
- Mature, thoughtful attitude with the ability to operate in a collaborative, team-oriented culture.
- A strong delivery mind-set, drive to get things done.
- Experience in finance is not required.
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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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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.
