Quantitative Research Intern
Confirmed live in the last 24 hours
DRW

1,001-5,000 employees

Diversified global trading and investment leveraging technology.
Company Overview
DRW stands out for its diversified approach to trading and investment, leveraging technology, research, and risk management across multiple asset classes and global markets. The company fosters a culture of high expectations and continuous learning, offering the dynamism of a startup with the stability of an established firm. Employees are encouraged to solve complex problems, with their efforts duly recognized and rewarded, making DRW a compelling place to work for those seeking intellectual stimulation and professional growth.
Quantitative Finance
Financial Services
Data & Analytics

Company Stage

M&A

Total Funding

N/A

Founded

2001

Headquarters

Chicago, Illinois

Growth & Insights
Headcount

6 month growth

4%

1 year growth

20%

2 year growth

47%
Locations
London, UK
Experience Level
Intern
Desired Skills
Python
Data Structures & Algorithms
Pandas
Natural Language Processing (NLP)
NumPy
CategoriesNew
AI & Machine Learning
Quantitative Finance
Requirements
  • Master’s or PhD in a technical discipline with a focus on Statistics, Optimisation, Machine Learning, Artificial Intelligence, Quantitative Finance or related fields
  • 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.
  • Some exposure to Natural Language Processing and/or High-Performance Computing is a plus
  • Excellent written and verbal communication skills to report research results as well as methodologies
  • Published in a top tier journal focusing on Natural Language Processing or High-Performance Computing is a bonus
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
  • Exposure to Natural Language Processing and/or High-Performance Computing