Full-Time

Member of Research Staff

New York

Confirmed live in the last 24 hours

The Voleon Group

The Voleon Group

51-200 employees

Investment management using machine learning algorithms

Quantitative Finance
Financial Services

Compensation Overview

$225k - $250kAnnually

+ Bonus

Senior

New York, NY, USA

Hybrid position in New York.

Category
Applied Machine Learning
AI Research
AI & Machine Learning
Required Skills
Python
R
Data Analysis
Requirements
  • Background in modern statistical methods and machine learning with a track record as an applied researcher
  • 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 and/or R preferred)
  • Ability to solve large-scale computing problems
  • Eagerness to work in collaborative and diverse teams
  • 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
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 investment 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

Voleon focuses on investment management by utilizing machine learning to analyze financial market trends. The firm uses advanced statistical models to process large datasets and identify patterns that inform investment decisions, setting it apart from traditional methods that rely on human intuition. Voleon primarily serves institutional clients and operates on a performance-based fee structure, aligning its interests with those of its clients. With a strong emphasis on academic research, Voleon's team consists of experts in statistics, computer science, and mathematics, ensuring a rigorous approach to financial prediction.

Company Stage

N/A

Total Funding

N/A

Headquarters

Berkeley, California

Founded

2007

Growth & Insights
Headcount

6 month growth

1%

1 year growth

1%

2 year growth

1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Working at Voleon offers the opportunity to be at the forefront of integrating machine learning with financial market analysis.
  • The firm's focus on continuous learning and academic research provides a stimulating environment for professional growth.
  • Voleon's performance-based fee structure can lead to significant financial rewards for employees if the firm's investment strategies succeed.

What critics are saying

  • The highly competitive nature of the financial markets sector means that Voleon must continuously innovate to maintain its edge.
  • Reliance on machine learning algorithms carries the risk of model failure or inaccuracies, which could lead to significant financial losses.

What makes The Voleon Group unique

  • Voleon leverages advanced machine learning algorithms to predict financial market trends, setting it apart from traditional investment firms that rely on human intuition.
  • The firm's strong emphasis on academic research and intellectual rigor ensures that it remains at the cutting edge of technological advancements in financial prediction.
  • Voleon's performance-based fee structure aligns its interests with those of its clients, incentivizing optimal investment returns.

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