Quantitative Analyst II
AffirmSalary not specified
Full Time
Mid-level (3 to 4 years)
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
Algorithmic Execution
Securities Lending
Systematic Trading
Forex
Derivatives
Equity Trading
Credit Trading
Machine Learning
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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