WorldQuant Quantitative Researcher
4 days ago
We are seeking an exceptional Quantitative Researcher to join our team at WorldQuant. As a pioneer in systematic financial strategies, we develop and deploy cutting-edge models to exploit market inefficiencies.
Our Mission:
We strive to produce high-quality predictive signals (alphas) through our proprietary research platform, driving the production of alphas and financial strategies that form the foundation of a balanced, global investment platform.
The Role:
As a Quantitative Researcher at WorldQuant, you will be at the forefront of our research efforts, employing rigorous exploration and unconstrained thinking to uncover new alphas. You will utilize statistical analysis, mathematical modeling, machine learning, or other techniques to create computer-based models predicting global financial market movements.
Your Key Responsibilities:
- Develop and deploy quantitative models to predict financial market movements.
- Analyze and interpret complex data sets to identify high-quality predictive signals.
- Collaborate with cross-functional teams to drive the production of alphas and financial strategies.
- Stay up-to-date with industry trends and advancements in quantitative finance.
What We Offer:
A competitive salary of $120,000 - $180,000 per year, depending on experience, plus benefits and opportunities for professional growth in a dynamic and innovative environment.
Requirements:
- Bachelor's degree or above in a quantitative field (e.g., Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering, Big Data).
- Demonstrated ability to program in C/C++ or Python on a Unix/Linux platform.
- Excellent problem-solving abilities and judgment with a strong attention to detail.
- Mature and thoughtful individual with the ability to operate in a collaborative, team-oriented culture.
- Research scientist mindset; self-motivated, creative, and persevering deep thinker.
- Proficient English-language skills.
About Us:
WorldQuant is a pioneering firm in systematic financial strategies, dedicated to producing high-quality predictive signals and deploying cutting-edge models to exploit market inefficiencies.
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