Full-Time

Technical Lead Manager

Securities Engineering

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 - $310kAnnually

+ Bonus

Senior

Remote in USA

Remote option available.

Category
Algorithm Development
Quantitative Research
Quantitative Finance
Required Skills
Python
R
Go
C/C++
Requirements
  • Computer Science Degree, or equivalent experience
  • 2+ years of people management experience
  • 5+ years of software engineering experience
  • Demonstrated history of management of engineering team and senior engineers
  • Proven ability to hire and manage exceptional engineers
  • Expertise in a modern programming language, such as Python, Go, R, and/or C/C++
  • Experience operating critical production systems with high-uptime requirements
  • Knowledge of best practices for robust, high-availability design
  • Ability to understand key details to provide provably correct systems
Responsibilities
  • Effectively manage a team of engineers
  • Attract, hire, and retain top engineering talent
  • Develop ambitious yet achievable goals for your team, and reliably deliver results
  • Work closely with stakeholder team to develop a roadmap and future vision for your team
  • Mentor and grow 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. The firm uses advanced statistical models to process large datasets and identify patterns that inform investment decisions, contrasting with traditional methods that rely on human intuition. Serving institutional clients like pension funds, Voleon's proprietary algorithms are scalable and adaptable to market changes, generating revenue through performance-based fees. The company's goal is to provide data-driven insights that optimize investment strategies while effectively managing risks.

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 predictive models for better financial predictions.
  • Cloud computing expansion allows efficient processing of larger datasets.

What critics are saying

  • Competition from other quantitative hedge funds may erode Voleon's market share.
  • Regulatory scrutiny on AI-driven financial services could lead to stricter compliance.
  • Talent acquisition in machine learning is competitive, risking workforce retention.

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 data-driven investment strategies.
  • Voleon's academic approach emphasizes intellectual rigor and continuous learning.

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