Head of Feature Engineering

Reposted 24 Days Ago
Be an Early Applicant
2 Locations
Hybrid
250K-300K
Senior level
Financial Services
The Role
Lead feature engineering team in developing predictive models using financial insights and machine learning techniques. Collaborate with data engineering teams to ensure robust feature generation and improve model performance.
Summary Generated by Built In
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.

We are seeking a senior researcher to lead feature engineering for predictive models. You will lead a team of researchers in applying financial insight and statistical machine-learning methods to uncover predictive signals from structured and unstructured data. Your work will directly improve model performance and investment outcomes.

This is a unique opportunity to set a feature research agenda, mentor outstanding colleagues, and collaborate with best-in-class teams across research, engineering, and investment strategy.

Responsibilities

  • Lead the design and development of features for use in supervised and unsupervised learning, drawing on a variety of econometric and financial concepts.
  • Translate economic and financial model constructs into scalable, empirical signal definitions, using structured and unstructured data.
  • Collaborate with data engineering teams to implement clean, robust pipelines for feature generation and version control across large securities universes.
  • Shape the experimental framework for evaluating feature performance in predictive models.
  • Establish and manage best practices for documenting construction logic, assumptions, and behavior of each feature under different economic and market conditions.
  • Manage and coach the featuring engineering team, fostering a collaborative and results-driven environment.
  • Align the team’s efforts with broader research and model development goals through strategic planning and cross-functional collaboration.

Requirements

  • Demonstrable clarity of thought.
  • Grit, in large quantities.
  • 7+ years of experience in quantitative finance, signal research, or predictive modeling, including at least 2 years leading research teams or initiatives.
  • Strong scientific programming skills in Python and/or R; experience with SQL or Spark is a plus.
  • Deep understanding of financial markets, company fundamentals, econometrics, and financial-economic models.
  • Extensive experience designing features for use in machine-learning pipelines or research environments (e.g., PyTorch, scikit-learn).
  • Master's degree in a relevant quantitative field.

Preferred

  • Ph.D. in a quantitative field.
  • Experience managing globally distributed research or data-analysis teams.
  • Familiarity with alternative data.

The base salary range for this position is $250,000 to $300,000 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.

Top Skills

Python
PyTorch
R
Scikit-Learn
Spark
SQL
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The Company
HQ: Berkeley, CA
169 Employees
Year Founded: 2007

What We Do

Founded in 2007 by two machine learning scientists, The Voleon Group is a quantitative hedge fund headquartered in Berkeley, CA. We are committed to solving large-scale financial prediction problems with statistical machine learning.

The Voleon Group combines an academic research culture with an emphasis on scalable architectures to deliver technology at the forefront of investment management. Many of our employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines.

Voleon's CEO holds a Ph.D. in Computer Science from Stanford and previously founded and led a successful technology startup. Our Chief Investment Officer and Head of Research is Statistics faculty at UC Berkeley, where he earned his Ph.D. Voleon prides itself on cultivating an office environment that fosters creativity, collaboration, and open thinking. We are committed to excellence in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility.

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.

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