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Deep Learning Researcher Intern
(more about WorldQuant)
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Deep Learning Researcher Intern

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. Our collective intelligence will drive us there.
 
The Role: WorldQuant is seeking an exceptional individual to join the firm as a Deep Learning Researcher Intern. While prior finance experience is not required, a successful candidate must possess a strong programming background and keen to learn about finance. Besides technical ability, candidates must have a research scientist mind-set, be a self-starter, and be a creative and persevering deep thinker who is motivated by unsolved challenges. Experiences in AI, ML, DL research is a plus.
  • Develop and maintain utility tools that can further automate the software development, testing and deployment workflow
  • Assist in building software systems and research platforms that manage vast quantities of data efficiently and can facilitate effective quantitative analysis and research
  • Conduct research in building quantitative models with Deep Learning under the guidance of senior quantitative researchers
  • Provide technical support on issues with the built tools and platforms, including diagnosing root causes of technical problems and proposing solutions
What You’ll Bring:
  • Currently working or having a Bachelor/advanced degree from a leading university in Computer Science, Software Engineering.
  • Ranked in the top 10% of bachelor's degree class
  • Proficient in Python and C++; familiar with Linux/Unix
  • Excellent problem solving abilities and judgment with a strong attention to detail
  • Experience in AI, familiarity with Deep Learning algorithm, and good knowledge in PyTorch is a plus
  • Mature and thoughtful with the ability to operate in a collaborative, team-oriented culture
  • Able to code clearly and efficiently according to OOP concept for easy maintainability and scalability
  • Ready to acquire new skills and knowledge necessary to the project
What We offer:
  • Competitive and attractive compensation package with a clear career road-map – where you feel challenged everyday
  • We offer a culture of learning and development: training courses, library, speakers, share and learn events
  • Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
  • Employee resources groups with a diversity and inclusion culture
  • Team building activities every month: Local engagement events, monthly team lunch – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
  • Happy-hour with tea break, snacks and meals every day in the office!
 
Copyright © 2022 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.