Quantitative Trading Strategist

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $130k - $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👻 Ghost score 1%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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The Voleon Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2007

💸 Finance

🤖 Artificial Intelligence

Finance • Artificial Intelligence

The Voleon Group is an investment management firm that applies machine learning and rigorous statistical research to financial markets. Founded with an academic approach to research, Voleon emphasizes scalable models, risk management, and data-driven financial prediction rather than human intuition. Headquartered near UC Berkeley and operating through Voleon Capital Management LP and affiliates, the company hires Ph. D. -level researchers in statistics, computer science, and related quantitative fields to develop automated investment strategies and manage funds.

📋 Description

• Measure and improve algorithmic execution quality across asset classes • Conduct research across market-related topics and asset classes • Create reports and present findings across teams • Write production-level code • Design and develop packages, data pipelines, and production trading applications • Collaborate with trading and R&D team members to improve trading strategies • Provide market microstructure expertise across asset classes • Manage relationships with external brokers and trading partners • Supervise and improve systematic trading strategy implementation

🎯 Requirements

• 3+ years of experience in a quantitative trading environment with an emphasis on quantitative research • Bachelor’s degree in a scientific or quantitative discipline • Highly capable in Python, R, and SQL • Ability to write production-level code and develop across teams • Proficiency in basic statistics and ability to apply valid statistical methods to real-world data • Comprehensive understanding of market microstructure • Passion for markets • Ability to communicate across teams and present research findings clearly and concisely • Legally authorized to work in the United States

🏖️ Benefits

• Highly competitive compensation and benefits packages • Technology talks by experts • Beautiful modern office • Daily catered lunches • Medical, dental, and vision coverage • Life and AD&D insurance • 20 days of paid time off • 9 sick days • 401(k) plan with a company match • Bonus compensation

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