Data Engineer (C++)
Quick Summary
Transforming a wide range of structured and unstructured data into standardized outputs for quantitative analysis and financial engineering.
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.
Responsibilities
~1 min read- →Transforming a wide range of structured and unstructured data into standardized outputs for quantitative analysis and financial engineering.
- →Overseeing the integration of new technologies and initiatives into data standards and structures
- →Enhancing data quality & integrity by developing validation tools to measure the effectiveness of data enrichment.
- →Assessing system performance and making recommendations for software, and data storage improvements
- →Developing the utility tools that can further automate the software development, testing and deployment workflow.
- Strong academic background – minimum of a bachelor’s degree in a technical or quantitative field.
- Demonstrated ability to implement data engineering pipelines and real-time applications in C++ (python is a plus).
- Proficiency with C++ based tools like STL, object oriented programming in C++ is a must.
- Experience with Linux/Unix shell and Git is a must.
- Good knowledge of data structures and algorithms is mandatory.
- Proficiency with python based tools like Jupyter notebook, coding standards like pep8 is a plus.
- Experience in Data Engineer or similar roles is a plus
- Good command of English. Proactive demeanor and strong communication skills within a global team environment is a plus.
- Excellent software development skills: ability to convert rough overall use-cases to a working codebase.
- Motivated by a deep curiosity and passion to learn is a plus.
What We Offer
~2 min readLocation & Eligibility
Listing Details
- Posted
- May 19, 2026
- First seen
- May 19, 2026
- Last seen
- May 19, 2026
Posting Health
- Days active
- 0
- Repost count
- 1
- Trust Level
- 61%
- Scored at
- May 19, 2026
Signal breakdown

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