Systematic Quant Researcher

About the role

You will be responsible for developing trading strategies, from idea generation and data collection to analysis and model creation. Designing and running experiments to test hypotheses about the market and/or specific trading signals while applying quantitative techniques and market intuition to large datasets. You will be advancing existing initiatives and pursuing new, previously unexplored research topics. You get to develop systematic strategies which exploit statistically-based predictive signals associated with various market inefficiencies and perform analyses on historical trading to improve profitability.

Responsibilities

• Develop trading strategies, from idea generation to analysis and model creation
• Design and run experiments to test hypotheses about the market and/or specific trading signals
• Apply quantitative techniques and market intuition to large datasets
• Advance existing initiatives and pursue new research topics
• Develop systematic strategies exploiting statistically-based predictive signals associated with market inefficiencies
• Perform analyses on historical trading to improve profitability

Requirements

• MS or PhD in a quantitative field and/or scientific discipline such as Mathematics, Physics, Computer Science, Machine Learning, or Electrical Engineering from a top university
• Experience working with large data sets
• Intermediate programming skills (C, or C++, Matlab, R, python)
• Exceptional knowledge of mathematical and statistical methods
• Ability to solve complex problems
• Ability to work independently and as part of a team in an open and collaborative environment

Qualifications

Candidates should meet the following requirements:

Skills

• Quantitative skills
• Data analysis
• Programming skills (C, or C++, Matlab, R, python)
• Statistical methods
• Problem-solving skills

Benefits

Excellent compensation package for the right candidate is offered.

Pay

TBD

Schedule

TBD