AI-Driven Algorithmic Trading Strategist

The Voleon Group; Berkeley (CA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Daily catered lunches

Technology talks

Modern office environment

Job summary

The Voleon Group in Berkeley, California is seeking a Quantitative Trading Specialist (QTS) to leverage deep market knowledge and quantitative skills for systematic trading strategies. You will enhance algorithmic execution, conduct research, and collaborate across teams. This role seeks candidates with over 3 years of quantitative trading experience and proficiency in Python, R, and SQL.

Offering a competitive compensation package and a collegial work environment with daily catered lunches and talks from industry experts, the position aims to integrate research and trading knowledge in a modern office setting.

Qualifications

• 3+ years of experience in a quantitative trading environment with an emphasis on quantitative research.
• Ability to write production level code and develop across teams.
• Comprehensive understanding of market microstructure.

Responsibilities

• Measure and improve algorithmic execution quality across asset classes.
• Conduct high quality research and present findings across teams.
• Collaborate with trading and RnD team members to improve trading strategies.

Skills

Python

R

SQL

Quantitative research

Market microstructure knowledge

Education

Bachelor’s degree in a scientific or quantitative discipline

Job description

The Voleon Group in Berkeley, California is seeking a Quantitative Trading Specialist (QTS) to leverage deep market knowledge and quantitative skills for systematic trading strategies. You will enhance algorithmic execution, conduct research, and collaborate across teams. This role seeks candidates with over 3 years of quantitative trading experience and proficiency in Python, R, and SQL.

Offering a competitive compensation package and a collegial work environment with daily catered lunches and talks from industry experts, the position aims to integrate research and trading knowledge in a modern office setting.