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Quantitative Developer Intern

Quantitative Developer Intern (Software Development/Data Science/AI)

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 exploiting market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant’s success 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. That’s a key ingredient in remaining a leader in any industry.
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. Our collective intelligence will drive us there.

The Role:
  • Develop and maintain utility tools that can further automate the software development, testing and deployment workflow
  • Assist in building software systems and research platform that manage vast quantities of data efficiently and can facilitate effective quantitative analysis and research
  • Conduct research in building quantitative model with Deep Learning / Reinforcement Learning under the guidance of senior quantitative researchers
  • Work with researchers on pre-processing and analyzing unstructured financial market data, such as news articles, analyst commentary, social sentiment, voice or satellite data, etc.
  • Provide technical support on data related issues for researchers, including diagnosing root causes of technical problems and proposing solutions
  • Delivery tasks assigned by supervisors with good quality in a timely manner
What You’ll Bring:
  • Pursuing a Bachelor’s or advanced degree from a leading university in Computer Science, Software Engineering, Electrical Engineering, or Financial Engineering related areas. Ability to work at least 3 days per week, for a minimum of 4 months
  • Proficient in Python or /C++; familiar with Linux/Unix
  • Experience in AI, familiar with Deep Learning/Reinforcement Learning algorithm, and good knowledge in Tensor Flow/Keras is a plus
  • Experience with Natural Language Processing / Machine Learning / SQL Database is a plus
  • Open to new knowledge and ability to pick up new concepts quickly
  • Be dedicated and self-disciplined with a strong work ethic and be willing to help others
  • Be proactive and possess good communication skills within a team environment
Interested and qualified candidates please email your current CV (or any questions) in ENGLISH and local language to WQChinaIntern@worldquant.com

Copyright © 2021 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, gender identity, 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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CEO of WorldQuant
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Igor Tulchinsky
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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 s...

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DATE POSTED
August 4, 2023

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