Quantitative Research Intern
Posted on 7/19/2023
INACTIVE
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
↑ 7%1 year growth
↑ 20%2 year growth
↑ 49%Locations
Chicago, IL, USA
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 2024 and August 2025
- 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