Data Scientist

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 exploiting market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. Our teams are lean and agile, which means rapid prototyping of products with immediate user feedback. We seek people who think in code, aspire to tackle undiscovered computer science challenges and are motivated by being around like-minded people. In fact, of the 600 employees globally, approximately 500 of them code every day.

WorldQuant’s success 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. That’s a key ingredient in remaining a leader in any industry.

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. Our collective intelligence will drive us there. We are seeking an exceptionally talented NLP specialist with strong Python background who will help us to extract useful information from different sources and turn unstructured data into enriched investment ready datasets. The primary focus will be in entities extraction.

Job Responsibilities (including, but not limited to, the following):

• Developing and maintaining of named entities extraction system
• Enrichment of company’s data by applying NLP models
• Implementing high-performance algorithms for data processing
• Processing and cleansing of semi-structured and unstructured data

Job Requirements:

• Bachelors or Master degree in a technical or quantitative field from a top university
• At least 3 years of experience as a data scientist
  • Expert in Natural Language Processing
  • Good understanding of machine learning techniques and algorithms
  • Experience with popular named-entity recognition platforms is a plus
  • Experience with fuzzy text matching and spell checking systems is a plus
• Strong knowledge and experience in data engineering or soware development
  • Understanding of algorithms and data structures
  • System design/architecture skills
  • Strong Python programming skills
• A passion for working with data