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WorldQuant

Global quantitative asset management via algorithms

AI Software Developer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBudapest, HungaryNo salary listedIn-person

About the Job

Requirements

  • Strong software engineering skills, preferably in Python, and the ability to build reliable, maintainable production systems.
  • Experience taking features from an ambiguous request through technical design, delivery, rollout, and iteration.
  • A product-minded approach, including clarifying user needs, making pragmatic scope and technical trade-offs, and focusing on high-impact outcomes.
  • Strong analytical skills and an interest in solving complex, real-world problems.
  • A solid understanding of modern AI systems and practical experience with LLM-powered applications, including retrieval-augmented generation (RAG), agentic workflows, document search, and evaluation.
  • Familiarity with relevant data and platform technologies, such as vector search or vector databases, SQL, and messaging systems.
  • Ability to define and use appropriate measures of feature quality, usefulness, reliability, and adoption.
  • Strong communication skills in English, including the ability to work directly with and support internal users.
  • A mature, thoughtful attitude; comfort working independently in a small team and taking responsibility for outcomes.
  • A strong delivery mindset and drive to get things done.

Responsibilities

  • Build and evolve AI-powered applications that help employees access information, synthesize knowledge, and support strategic decision-making.
  • Turn an initial need into a well-defined solution by clarifying requirements, shaping the user experience, designing and implementing the system, testing and deploying it, and evaluating whether it delivers value in practice.
  • Work closely with internal users and incorporate their feedback into the product.
  • Contribute to feature prioritization and roadmap discussions.
  • Work on advanced AI capabilities, including agentic and deep-research workflows, and help ensure they are useful, trustworthy, scalable, and practical for real-world use.

About the Company

WorldQuant

Global quantitative asset management via algorithms

WorldQuant is a global quantitative asset management firm that uses data, talent, and predictive algorithms to manage investments for institutional clients. Its approach centers on quantitative research and algorithmic trading, applying mathematical models to identify opportunities and execute trades in financial markets. The company earns management and performance fees based on assets under management and investment returns. What sets WorldQuant apart is its scale and culture: a worldwide footprint with over 1,000 professionals across 27 offices, a strong emphasis on data-driven research and experimentation, and a commitment to equal opportunity where employees at all levels can contribute ideas. The firm’s goal is to deliver reliable, scalable investment performance for pension funds, endowments, sovereign wealth funds, and other institutions by closely linking research, technology, and trading execution to generate client returns.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$148.5M
Headquarters
Greenwich, CT
Founded
2007

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