[Remote] Senior Software Engineer, Forecast Engineering at The Voleon Group

Remote

The Voleon Group Logo
$225,000 – $255,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Asset Management, AI & Machine Learning, Data ScienceIndustries

Skills

Key technologies and capabilities for this role

PythonRC/C++Data Science PackagesLinuxMachine Learning FrameworksPerformance OptimizationConcurrencyModel TrainingSystem Design

Questions & Answers

Common questions about this position

What is the salary range for the Senior Software Engineer position?

The base salary range is $225,000 - $255,000.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills are required for this Senior Software Engineer role?

Required skills include 5+ years of software engineering experience, expertise in Python, R, and/or C/C++, proficiency with data science packages in Python/R, experience with machine learning frameworks, and proficiency in Linux development focusing on performance, concurrency, and correctness.

What is the company culture like at Voleon?

Voleon embraces experimentation, encourages creative thinking and efficient implementation, and fosters collaboration with top machine learning researchers and experienced engineers from leading tech companies and universities.

What makes a strong candidate for this role?

Strong candidates have a Computer Science degree or equivalent, 5+ years of software engineering experience, expertise in Python/R/C++, ML frameworks experience, performance optimization skills, and the ability to lead complex projects while mentoring others.

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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