The Voleon Group

Senior Software Engineer, Forecast Engineering

Remote

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$225,000 – $255,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Asset Management, AI & Machine Learning, Data ScienceIndustries

Requirements

Candidates should possess a Computer Science degree or equivalent experience, along with a minimum of 5 years of software engineering experience. Expertise in Python, R, and/or C/C++ is required, alongside proficiency in data science packages and a Linux environment with a focus on performance, concurrency, and correctness. Previous experience with performance optimization of modeling code and understanding key details for systems development is also necessary.

Responsibilities

As a Senior Software Engineer, you will lead and collaborate on diverse software projects, translating research ideas into performant and reliable code, working in a large codebase, proactively leading complex projects from requirements to completion, and acting as a technical leader for both research and engineering staff. You will also collaborate with researchers, develop modular and manageable code, and contribute to the entire ML pipeline, including experiment management, modeling algorithm development, and live inference deployment.

Skills

Python

C/C++

Data Science Packages

Linux

Machine Learning Frameworks

Performance Optimization

Concurrency

Model Training

System Design

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.

Key Metrics

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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