Data Science Engineer for Systematic Financial Strategies
1 month ago
WorldQuant Overview
We are a pioneering financial services firm that develops and deploys systematic financial strategies across various asset classes and global markets. Our mission is to produce high-quality predictive signals (alphas) through our proprietary research platform, enabling us to exploit market inefficiencies.
The Role:
As a Data Science Engineer, you will play a crucial role in building software systems and research platforms that manage vast quantities of data efficiently, facilitating effective quantitative analysis and research. Your key responsibilities will include developing utility tools to automate the software development, testing, and deployment workflow, assisting in building software systems to manage data, conducting research in building quantitative models with Deep Learning/Reinforcement Learning under senior quantitative researchers' guidance, working with researchers on pre-processing and analyzing unstructured financial market data, providing technical support on data-related issues, and delivering tasks assigned by supervisors with good quality in a timely manner.
Requirements:
To succeed in this role, you must be pursuing a Bachelor's or advanced degree from a leading university in Computer Science, Software Engineering, Electrical Engineering, or Financial Engineering related areas, able to work at least 3 days per week for a minimum of 4 months. Proficiency in Python or C++ and familiarity with Linux/Unix are essential, while experience in AI, Deep Learning/Reinforcement Learning algorithm, and knowledge in TensorFlow/Keras are highly valued. Natural Language Processing/Machine Learning/SQL Database experience is also desirable. You should be open to new knowledge, able to pick up new concepts quickly, dedicated, self-disciplined, and willing to help others. Good communication skills within a team environment are necessary.
Estimated Salary: $120,000 - $180,000 per year, depending on qualifications and location.
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