Job Description:
WorldQuant is a leading financial services firm that develops and deploys systematic financial strategies across various asset classes and global markets.
We seek to produce high-quality predictive signals (alphas) through our proprietary research platform, which enables us to employ financial strategies focused on market inefficiencies.
About Our Culture:
We are built on a culture that values academic sensibility and accountability for results.
Our employees are encouraged to think openly about problems, balancing intellectualism and practicality.
Excellent ideas can come from anyone, anywhere, and we encourage employees to challenge conventional thinking and possess an attitude of continuous improvement.
The Role:
We are seeking an exceptionally talented Researcher/Scientist to join our team.
In this role, you will work on critical aspects of WorldQuant's research, modeling, and infrastructure, including risk models, market impact models, trade optimization, and the firm's central hedging facility.
Your Responsibilities Will Include:
* Working on complex projects with hands-on experience
* Developing and implementing Python code using NumPy and Linux/Unix platforms
* Optimizing code for efficiency and performance
* Maintaining a hybrid skillset with strong quantitative and coding abilities
* Effective communication with both verbal and written skills
* Collaborating in a team-oriented culture
* Driving innovation and transformational effects through technology at scale