Quantitative Researcher
Posted on 7/31/2023
INACTIVE
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

5%

1 year growth

20%

2 year growth

45%
Locations
London, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
R
Data Structures & Algorithms
CategoriesNew
Quantitative Analysis
Algorithm Development
Quantitative Research
Quantitative Finance
Requirements
  • A degree in a technical discipline with a focus on statistics, machine learning, signal processing, optimisation and control graduating between December 2023 and August 2024 (Bachelor's, Master's, PhD)
  • Expertise in programming using Python, R, MATLAB, or C++ for conducting research
  • Significant hands-on experience applying machine learning algorithms to real world problems
  • Strong problem-solving and statistics skills
Responsibilities
  • Develop mathematical models using advanced statistical learning methods
  • Collaborate on idea generation and strategy development
  • Conduct quantitative analysis of market data to uncover relationships and identify historical trends
  • Extract predictive signals from financial data through statistical analysis and machine learning techniques
  • Assist software developers to translate research strategies into production software
  • Optimize order execution and risk management of the trading system
  • Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research
  • Automate human-decision based trading strategies
  • Prototype algorithmic trades from trading ideas