Quantitative Trading Strategist, Puerto Rico Office at The Voleon Group

San Juan, Puerto Rico, Puerto Rico

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Investment Management, Quantitative TradingIndustries

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; 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

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

Skills

machine learning

quantitative analysis

algorithmic trading

securities lending

portfolio financing

statistical trading

market microstructure

financial markets

asset classes

trading strategies

The Voleon Group

Investment management using machine learning algorithms

About The Voleon Group

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, setting it apart from traditional methods that rely on human intuition. Voleon serves institutional clients and operates on a performance-based fee structure, aligning its interests with those of its clients. The company's goal is to provide data-driven insights that optimize investment returns while adapting to changing market conditions.

Berkeley, CaliforniaHeadquarters

2007Year Founded

VENTURE_UNKNOWNCompany Stage

Quantitative Finance, Financial ServicesIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Paid Vacation

Paid Sick Leave

401(k) Retirement Plan

401(k) Company Match

Risks

Competition from other quantitative hedge funds may erode Voleon's market share.

Regulatory scrutiny on AI use in finance could increase compliance costs for Voleon.

Data quality issues could lead to inaccurate predictions and financial losses for Voleon.

Differentiation

Voleon uses machine learning for data-driven financial market predictions.

The firm serves institutional clients with a focus on scalability and risk management.

Voleon's academic approach emphasizes intellectual rigor and continuous learning.

Upsides

Increased interest in ESG investing offers new opportunities for Voleon's models.

Alternative data sources enhance predictive models for quantitative hedge funds like Voleon.

Cloud computing enables efficient scaling of Voleon's data processing capabilities.

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