Quantitative Trading Strategist Lead
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Overview
Schedule
Full-time
Career level
Director
Remote
Option for remote
Compensation
$160,000-$175,000/year
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Job Description
Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning 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 machine learning research as well as highly experienced finance and technology professionals. You will be working with strategies that are at the forefront of machine learning and statistical trading. The strategies have been carefully designed to generate non-correlated returns. Our firm and its strategies are the product of many years of meticulous research and craftsmanship, and you will lead the way in bringing them to investors.
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 Quantitative Trading Strategist Lead, you will use deep markets knowledge alongside quantitative skills to lead a team tasked with improving 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 report to the Head of Trading, and work at the intersection of trading and research on problems that require market domain expertise but also statistical and quantitative rigor.
Responsibilities
- Lead a small team of high-caliber Quantitative Trading Strategists and Data Scientists
- 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
- 5+ years of experience in a quantitative trading environment
- Bachelor’s degree in a scientific or quantitative discipline
- Management experience is not required
- 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
The base salary range for this position is $160,000 to $175,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits. Our benefits package includes medical, dental and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.
“Friends of Voleon” Candidate Referral Program
If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.
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.
Vaccination Requirement
The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated with the COVID-19 vaccine. This policy also applies to remote employees, as such employees will be asked to visit our offices from time to time. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon’s ongoing efforts to ensure the safety and well-being of our employees and community, and to support public health efforts.
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FAQs About Quantitative Trading Strategist Lead Jobs at The Voleon Group
What is the work location for this position at The Voleon Group?
This job at The Voleon Group is located in Berkeley, CA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at The Voleon Group?
Candidates can expect a pay range of $160,000 and $175,000 per year.
What employment applies to this position at The Voleon Group?
The Voleon Group lists this role as a Full-time position.
What experience level is required for this role at The Voleon Group?
The Voleon Group is looking for a candidate with "Director" experience level.
Does The Voleon Group allow remote work for this role?
Yes, this position at The Voleon Group supports remote work, giving candidates the flexibility to work outside the primary office location.
What is the process to apply for this position at The Voleon Group?
You can apply for this role at The Voleon Group either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.