Vice President of Engineering
Confirmed live in the last 24 hours
The Voleon Group

201-500 employees

Quantitative hedge fund
Company Overview
The Voleon Group is committed to the development and deployment of cutting-edge technologies in investment management. The company applies rigorous data-driven techniques to financial markets, driven by in-house innovations in machine learning.
AI & Machine Learning
Data & Analytics
Financial Services

Company Stage

N/A

Total Funding

N/A

Founded

2007

Headquarters

Berkeley, California

Growth & Insights
Headcount

6 month growth

7%

1 year growth

23%

2 year growth

28%
Locations
Oakland, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
R
CategoriesNew
AI & Machine Learning
Requirements
  • History of delivering foundational changes to production platforms
  • Demonstrated management of 40+ engineers and technical managers working on multiple key initiatives
  • Significant experience with end-to-end ML workflows across data, models, and software
  • Strong technical and management depth at the interface of ML research and engineering processes
  • Understanding of ETL and machine learning production pipelines
  • Experience evolving a software engineering organization to adopt new systems and best practices
  • Proven ability to hire and manage exceptional engineers and technical managers
  • Direct experience with infrastructure engineering, including on-prem and cloud computing, build systems, test tooling, and large-scale job orchestration
  • Ability to prioritize tasks and remain highly organized to keep projects on schedule
  • Experience leading multiple cross-functional projects simultaneously
  • A technical background allowing you to support your teams, draft designs, and advocate for solutions
Responsibilities
  • Develop a solid understanding of Voleon’s business to shape the Engineering organization to meet our goals
  • Help establish, refine, and execute Voleon’s technical vision
  • Partner with engineers to drive improvements to our infrastructure, automating and simplifying research and production workflows
  • Scale, foster, and manage high-performing software teams
  • Manage teams working with Python, R, Go, and C++
  • Have visibility and influence across our entire Research and Development division
  • Collaborate with engineers and leadership to reach consensus on technical and people decisions
  • Communicate effectively across the organization to drive progress towards tangible outcomes
  • Manage decisions around organizational realignments and people management including hiring, promotions, and performance management
Desired Qualifications
  • Experience in systematic trading or finance
  • Experience working with machine learning researchers
  • Experience in investment management
  • Experience with large-scale job orchestration