Full-Time

Director of Engineering

Strategy Applications

Posted on 8/5/2024

The Voleon Group

The Voleon Group

51-200 employees

Investment management using machine learning algorithms

Quantitative Finance
Financial Services

Compensation Overview

$310k - $325kAnnually

+ Bonus

Senior

Remote in USA + 1 more

More locations: Berkeley, CA, USA

Remote option available.

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Requirements
  • Computer Science Degree, or equivalent experience
  • Demonstrated history of management of large engineering teams (15+ engineers)
  • 10+ years software engineering experience and 3+ years people management experience
  • Experience leading and developing both managers and individual contributors
  • Proven ability to hire and manage exceptional engineers and technical managers
  • Experience operating critical production systems with high-uptime requirements
  • Experience deploying ML models to production via serving or batch contexts
  • Knowledge of best practices for robust, high-availability design
  • Ability to understand key details to provide provably correct systems
Responsibilities
  • Effectively manage a small group of frontline managers and senior individual contributors
  • Attract, hire, and retain top engineering talent across your teams
  • Develop ambitious yet achievable goals for your team, and reliably deliver results
  • Work closely with stakeholder teams to develop a roadmap and future vision for your domain
  • Mentor and grow managers and individual contributors to continuously up-level your team
  • Capture business logic to ensure reliable delivery of our core trading products
  • Scale and operationalize our execution and production trading systems
  • Collaborate with our operations team to oversee systems and capture data for compliance

Voleon focuses on investment management by utilizing machine learning to analyze financial market trends and identify patterns for investment decisions. The firm serves institutional clients, such as pension funds and endowments, and differentiates itself with proprietary algorithms that adapt to market changes. Voleon operates on a performance-based fee model, aligning its interests with those of its clients. The company's goal is to optimize investment strategies through data-driven insights and rigorous academic research.

Company Stage

N/A

Total Funding

N/A

Headquarters

Berkeley, California

Founded

2007

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Increased interest in ESG investing aligns with Voleon's data-driven approach.
  • Alternative data sources enhance Voleon's machine learning strategies.
  • Reinforcement learning offers potential for improved decision-making in Voleon's trading strategies.

What critics are saying

  • Competition from other quantitative hedge funds could erode Voleon's market share.
  • Technological advancements require costly updates to Voleon's algorithms.
  • Regulatory scrutiny on AI use in finance may impose new compliance costs.

What makes The Voleon Group unique

  • Voleon uses machine learning to predict financial market trends since 2007.
  • The firm serves institutional clients with a focus on scalability and risk management.
  • Voleon's academic approach emphasizes intellectual rigor and continuous learning.

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