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.
Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.
Job responsibilities include, but not limited to the following:
- Troubleshooting a wide range of structured and unstructured data used for quantitative analysis and financial engineering.
- Ensure data quality throughout pipeline in both content and execution.
- Solving problems in both usage and development of data nodes.
- Frequent interactions with clients to understand their requirements and suggest solutions for issues reported.
- Developing the utility tools that can further automate the operational troubleshooting and ongoing support.
What You’ll Bring:
- Strong academic background – minimum of a bachelor’s degree in a technical or quantitative field.
- 2+ years of relevant experience as a Data Engineer or similar roles.
- Good knowledge of data structures and algorithms
- Proficiency with C++ based tools like STL, object oriented programming in C++ is a must.
- Excellent command of English. Proactive demeanor and strong communication skills within a global team environment 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.
- Demonstrated ability to implement data science pipelines and real-time applications in C++ (python is a plus).
- Experience with GDB, PDB is a plus.
- Exceptional analytical & problem solving abilities, with a strong attention to detail.
- Self-motivated and able to work independently with minimal direction
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.