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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.

Job responsibilities include, but not limited to the followings:

• 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.

What You’ll Bring:

• 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.
• Proficiency with python based tools like Jupyter notebook, coding standards like pep8 is a plus.
• Good knowledge of data structures and algorithms is mandatory.
• Experience in Data Engineer or similar roles is a big 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:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong 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 strong diversity and inclusion culture
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events, monthly team lunch – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!

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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.