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WorldQuant

Global quantitative asset management via algorithms

Software Engineer - C, C++

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A degree in Computer Science or a related field is required.
  • At least 2 years of professional software engineering experience is required.
  • Strong fundamentals in data structures, algorithms, and systems-level thinking, including memory management, concurrency, and input/output, are required.
  • Proficiency in modern C++ (C++11 or higher) and comfort with the Standard Template Library are required.
  • Solid working knowledge of UNIX/Linux development environments is required.
  • Experience using AI-assisted coding tools such as Claude Code or OpenCode to accelerate development is required.
  • The candidate must communicate proactively and work effectively with a globally distributed team.

Responsibilities

  • Design, develop, and maintain core components across distributed storage, compute, and service platforms, including storage engines, query and compute execution, RPC/networking layers, and distributed coordination such as routing, partitioning, and replication.
  • Partner with internal stakeholders across research and engineering teams to translate data-access, compute, and performance requirements into concrete design and implementation work.
  • Investigate and resolve production issues, including correctness bugs and performance regressions.
  • Participate in code review, system design, feature development, and productionization.

Desired Qualifications

  • Python skills are desirable.
  • Exposure to distributed systems concepts such as replication, sharding, and consensus; query/compute engines; or columnar/analytical storage formats is desirable.
  • Experience with RPC frameworks is desirable.

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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