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Full-Time

Quantitative Trading Strategist Lead

Confirmed live in the last 24 hours

The Voleon Group

The Voleon Group

201-500 employees

Investment management using machine learning algorithms

Fintech
Quantitative Finance

Compensation Overview

$160k - $175kAnnually

+ Bonus

Senior

Berkeley, CA, USA

Position requires onsite presence in Berkeley.

Category
Quantitative Trading
Quantitative Finance
Required Skills
Python
R
SQL
Requirements
  • 5+ years of experience in a quantitative trading environment
  • Bachelor’s degree in a scientific or quantitative discipline
  • Management experience is not required
  • Highly capable in python, R, and SQL; with the ability to write production level code and develop across teams
  • Proficient in basic statistics with an ability to apply valid statistical methods to judge outcomes from real-world data
  • Comprehensive understanding of market micro-structure and a passion for markets
  • Ability to effectively communicate across teams and present research findings in a clear and concise manner
Responsibilities
  • Lead a small team of high-caliber Quantitative Trading Strategists and Data Scientists
  • Measure and improve algorithmic execution quality across asset classes
  • Conduct high quality research across a variety of market related topics and asset classes. Create relevant reports and present findings across teams
  • Write high-quality production level code. Design and develop new packages, data pipelines and production trading applications
  • Collaborate with trading and RnD team members to improve our trading strategies
  • Provide domain expertise in market microstructure across asset classes to other members of trading and RnD
  • Manage relationships with external brokers and trading partners

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 distinguishes itself by relying on data-driven algorithms rather than human intuition. Voleon's revenue model is based on managing client portfolios with performance-based fees, aligning its interests with those of its clients. With a strong emphasis on academic research, Voleon aims to stay at the forefront of financial prediction technology.

Company Stage

N/A

Total Funding

N/A

Headquarters

Berkeley, California

Founded

2007

Growth & Insights
Headcount

6 month growth

3%

1 year growth

3%

2 year growth

3%
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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