Member of Research Staff, Voleon Securities (New York)

Member of Research Staff, Voleon Securities

Location

Employment Type

Full time

Location Type

Hybrid

Department

Securities

Compensation

• Base Salary $225K – $250K Offers Bonus

The listed base salary range for this position is based upon 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.

Voleon Securities, a new business within the Voleon Group, provides liquidity in securities markets. We apply state-of-the-art AI/ML techniques to construct our liquidity-provision strategies. For nearly two decades, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager. Voleon Securities builds on Voleon’s deep real-world experience applying ML to financial markets.

Voleon Securities is looking for creative, entrepreneurial researchers who enjoy grappling with very difficult problems. This is a chance to join the initial buildout of a fully modern securities business rooted in the frontier of AI/ML and statistics. We particularly welcome researchers with practical experience in optimal stochastic control, deep RL, deep learning, and causal inference. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals.

As a Member of Research Staff, you will work at the forefront of modern statistical machine learning. Your research colleagues across Voleon have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. Founded in 2007 by two leading scientists,Voleon supports a culture of curiosity, collegiality, and creativity.

Your work will focus on financial market prediction and portfolio optimization. The behavior of financial markets is noisy and violates a number of classical statistical assumptions, and we’ve spent over a decade pioneering scientific advances in the application of machine learning techniques to this domain. You will work with a complex and diverse array of datasets to implement and iterate on predictive models. Predicting financial markets is an enduringly hard problem, but results are immediate and unambiguous.

Years of academic training has prepared you for this moment. You won’t just conduct research, you’ll apply it on a daily basis, working with a team across the entire life cycle of applied research problems. Your work will span from basic research to productizing solutions and validating their efficacy in live trading.

Responsibilities

Develop a rich understanding of Voleon’s challenges and methodologies and propose research innovations and experiments to build, maintain and optimize the models that govern our trading strategy

Prepare and analyze new datasets to assess their predictive efficacy

Develop, validate, and implement new models into production

Design and conduct experiments to improve simulations and evaluate the success of new models in a live environment

Communicate and collaborate effectively with other Members of Research Staff and Software Engineers at each stage, driving progress towards tangible outcomes

Keep up to date on the latest academic research to identify novel approaches to explore for application to our domain

Requirements

Background in modern statistical methods and machine learning with a track record as an applied researcher, preferably with experience in at least one of the following: optimal control, deep RL, deep learning, and causal inference

Hands-on experience building successful liquidity providing strategies across asset classes preferred but not required

Evidence of strong mathematical abilities (e.g., publication record, graduate coursework, or competition placement)

Interest in software development techniques and willingness to write production-level code (Python)

Ability to solve large-scale computing problems

Eagerness to work in a fast paced and growing business

Interest in financial applications is essential, but prior finance industry experience is not a pre-requisite

Ph.D. level coursework is required, and a Ph.D. degree in a relevant field is preferred

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.