Quantitative Research Intern
Posted on 7/26/2022
INACTIVE
DRW

1,001-5,000 employees

Proprietary trading firm
Quantitative Finance
Company Overview
DRW's mission is to build revolutionary finance. The company is doing this by building a system that applies modeling, technology and quantitative research to identify opportunities in the global financial markets.
Locations
London, UK
Experience Level
Intern
Desired Skills
Data Structures & Algorithms
NumPy
Pandas
Natural Language Processing (NLP)
Python
CategoriesNew
AI & Machine Learning
Quantitative Finance
Requirements
  • Are pursuing a Master's or PhD in a technical discipline with a focus on Statistics, Optimization, Machine Learning, Artificial Intelligence, Quantitative Finance or related fields graduating between December 2023 and August 2024
  • Proficiency in Python programming experience using the Python machine learning stack: numpy, pandas, scikit-learn, etc
  • Proficient programming skills with experience exploring large datasets
  • Strong analytical and problem-solving skills including a solid foundation of statistics knowledge
  • Working knowledge of probability theory, stochastic calculus and numerical algorithms such as finite differences, Monte Carlo simulation, etc
  • Excellent written and verbal communication skills to report research results as well as methodologies
Responsibilities
  • Create practical solutions to problems presented in the trading environment on either a systematic equity trading desk or a fixed income options desk
  • Conduct statistical analysis of market data, historical trends, and relationships across multiple asset classes
  • Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to identify and capture trading opportunities
  • Work closely with traders and researchers to build and refine research infrastructure and tools
Desired Qualifications
  • Some exposure to Natural Language Processing and/or High-Performance Computing is a plus
  • Added if you have been published in a top tier journal focusing on Natural Language Processing or High-Performance Computing