SEO Applied Researcher
The ZebraSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
YesVisa
Finance, Asset Management, BiotechnologyIndustries
Requirements
Candidates should possess a background in modern statistical methods and machine learning, demonstrating a track record as an applied researcher, along with strong mathematical abilities evidenced by a publication record, graduate coursework, or competition placement. Candidates must also have an interest in software development and a willingness to write production-level code using Python.
Responsibilities
As a Member of Research Staff, you will develop a rich understanding of Voleon’s challenges and methodologies, propose research innovations and experiments to build, maintain, and optimize predictive models, prepare and analyze new datasets to assess their predictive efficacy, develop, validate, and implement new models into production, design and conduct experiments to improve simulations and evaluate the success of new models in a live environment, and communicate and collaborate effectively with other research staff and software engineers to drive progress towards tangible outcomes.
Skills
machine learning
statistical methods
financial market prediction
portfolio optimization
Python
software development
research
data analysis
model development
model validation
model implementation
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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