Quantitative 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

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.

Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.

As a QTS, you will use deep markets knowledge alongside quantitative skills to improve the implementation of systematic trading strategies. Domains include improving algorithmic execution, securities lending, and portfolio financing across a variety of asset classes and markets. You will work at the intersection of trading and research on problems that require market domain expertise but also statistical and quantitative rigor.

Responsibilities

• Measure and improve algorithmic execution quality across asset classes
• Conduct high quality research across a variety of market related topics and asset classes. Create relevant reports and present findings across teams
• Write high-quality production level code. Design and develop new packages, data pipelines and production trading applications
• Collaborate with trading and RnD team members to improve our trading strategies
• Provide domain expertise in market microstructure across asset classes to other members of trading and RnD
• Manage relationships with external brokers and trading partners

Requirements

• 3+ years of experience in a quantitative trading environment with an emphasis on quantitative research
• Bachelor’s degree in a scientific or quantitative discipline
• Highly capable in python, R, and SQL; with the ability to write production level code and develop across teams
• Proficient in basic statistics with an ability to apply valid statistical methods to judge outcomes from real-world data
• Comprehensive understanding of market micro-structure and a passion for markets
• Ability to effectively communicate across teams and present research findings in a clear and concise manner

Equal Opportunity Employer

The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.