Quantitative Researcher: Signals & Trading Models

Aquatic Group; Northern, New York (KY, NY); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Wellness programs

Casual dress

Snacks and lunch

Game room

Team events

Learning culture

Job summary

Aquatic Group is hiring a Quantitative Researcher to join a small, collaborative team and develop a range of signals, models, and trading strategies for global markets. You will design and implement components of our research system and assess their effectiveness using rigorous statistical methods.

The role emphasizes curiosity, rigorous thinking, and the ability to work across disciplines while driving results in a high-growth environment with discretionary bonus potential.

Qualifications

• Active PhD graduates or Postdocs pursuing a degree in mathematics, statistics, machine learning, physics, computer science, or other scientific discipline.
• Exceptional mathematical, analytical, and problem-solving ability.
• Programming proficiency in Python or C++.
• Experience solving data-intensive problems is a plus.
• Demonstrated ability to complete statistical or applied mathematical research is a plus.

Responsibilities

• Develop signals, models, and strategies for trading financial markets.
• Design and implement components of the research system.
• Evaluate effectiveness using rigorous statistical methods.
• Collaborate in a small team to rapidly grow knowledge of quantitative finance.

Skills

Mathematical & analytical thinking

Problem solving

Python

C++

Data-driven research

Competitive programming/IMO/Putnam

Independent & collaborative

Education

PhD candidate or Postdoc in mathematics, statistics, ML, physics, CS

Tools

Python

C++

Job description

Aquatic Group is hiring a Quantitative Researcher to join a small, collaborative team and develop a range of signals, models, and trading strategies for global markets. You will design and implement components of our research system and assess their effectiveness using rigorous statistical methods.

The role emphasizes curiosity, rigorous thinking, and the ability to work across disciplines while driving results in a high-growth environment with discretionary bonus potential.