W
WorldQuant
ML Engineer

C++ Software Engineer - Data Platform

On-siteSeniorML Engineerposted 2mo ago
✦Role summaryAI-generated

This role focuses on developing high-performance C++ systems for generating predictive financial signals (alphas) in a low-latency, distributed environment, bridging quantitative research with production-grade trading infrastructure. Candidates should demonstrate expertise in optimizing complex algorithms for global asset-class strategies while collaborating across interdisciplinary teams to refine market inefficiency exploitation.

Skills required

About this role

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.

The Role: Our distributed platform combines high-performance storage, compute, and service layers for processing and serving massive, structured, time-series datasets - built in C++ with a distributed system architecture, real-time streaming, RPC-based data transfer, and columnar on-disk storage that powers data processing and analytics workflows.

  • Design, develop, and maintain core components across our distributed storage, compute, and service platforms - including storage engines, query and compute execution, RPC/networking layers, and distributed coordination (routing, partitioning, 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 - from correctness bugs to performance regressions.
  • Participate in code review, system design, feature development, and productionization.


What You'll Bring:

  • Degree in Computer Science or a related field.
  • 2+ years of professional software engineering experience.
  • Strong fundamentals in data structures, algorithms, and systems-level thinking (memory management, concurrency, I/O).
  • Proficiency in modern C++ (C++11 or higher); comfort with STL.
  • Solid working knowledge of UNIX/Linux development environments.
  • Experience using AI-assisted coding tools (e.g., Claude Code, OpenCode) to accelerate development.
  • A clear, proactive communicator who works well with a globally distributed team.

Nice to Have:

  • Python
  • Exposure to distributed systems concepts (replication, sharding, consensus), query/compute engines, or columnar/analytical storage formats.
  • Experience with RPC frameworks.

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.

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