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.

The Role
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We are seeking a candidate to join our team as a Data Engineer. The Data Engineer will partner with our close-knit team of quantitative researchers, technologists and data sourcing colleagues to analyze and enrich a broad range of structured and unstructured large-scale data.

Job Responsibilities Include, But Not Limited To The Followings
- Enriching a wide range of structured and unstructured data into datasets for quantitative analysis and financial engineering.
- Enhancing data quality & integrity by developing validation tools to measure the effectiveness of data enrichment.
- Becoming a domain expert on different deep learning and machine earning applications, analyzing & understanding the underlying dynamics and behaviors within the data.
- Develop insights based on the data and collaborate with the research team to generate signals.
- Developing the utility tools that can further automate the software development, testing and deployment

📌 Data Engineer (New Delhi)
🏢 WorldQuant
📍 New Delhi