Associate Member of Trading Staff at The Voleon Group

Berkeley, California, United States

The Voleon Group Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Finance, Investment Management, Quantitative TradingIndustries

Requirements

  • Demonstrated passion for markets
  • Proficiency in a programming language like Python or R
  • Experience using a Unix-like OS
  • Academic or practical familiarity with statistics
  • A skillset in data analysis and visualization
  • Bachelor’s degree in a scientific or quantitative discipline
  • Attention to detail and clarity of thought

Responsibilities

  • Monitor high-volume execution algorithms and portfolio risk
  • Track real-time market developments
  • Interface with external brokers and trading counterparties
  • Contribute to the codebase underlying automated trading operations
  • Build processes and technology to prevent errors or outages while increasing team capacity
  • Provide insight and expertise to the research and development staff
  • Work global market hours for a portion of every year on a rotational basis

Skills

Key technologies and capabilities for this role

Algorithmic ExecutionSecurities LendingSystematic TradingForexDerivativesEquity TradingCredit TradingMachine Learning

Questions & Answers

Common questions about this position

What compensation and benefits does Voleon offer?

Voleon offers highly competitive compensation and benefits packages.

Is this role remote or office-based, and what are the hours?

This role requires working from the Berkeley office during US and Asian market hours, with global market hours on a rotational basis each year.

What skills are required for the Associate Member of Trading Staff role?

Required skills include demonstrated passion for markets, proficiency in a programming language like Python or R, experience using a Unix-like OS, academic or practical familiarity with statistics, and a skillset in data analysis and visualization.

What is the company culture like at Voleon?

Voleon offers an enriching and collegial working environment with colleagues who are internationally recognized experts in machine learning research, highly experienced finance and technology professionals, and unparalleled access to experts and founders.

What makes a strong candidate for this trading staff position?

Strong candidates demonstrate passion for markets, proficiency in programming like Python or R, Unix experience, statistical familiarity, and data analysis skills, along with interest in market microstructure through team rotations and mentorship.

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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