The Voleon Group

Senior Software Engineer, Simulation Engineering

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Asset Management, Quantitative Finance, FintechIndustries

Requirements

Candidates should possess a Bachelor's degree in Computer Science or a related field, and have at least 7 years of experience in software engineering, with a strong focus on simulation or high-performance computing. Experience with Python and C++ is required, along with a solid understanding of data pipelines and algorithm development. Familiarity with machine learning concepts and research environments is preferred.

Responsibilities

The Senior Software Engineer will engage in diverse software development work, including algorithm development and data pipeline construction, and will build and optimize algorithms for improving the efficiency and reliability of back-testing pipelines. They will lead company-spanning complex projects from inception to completion, gathering requirements, designing software, and collaborating with stakeholders. Additionally, they will design enhancements to the simulator code-base, mentor junior engineers, and contribute to the team's technical roadmap.

Skills

Python

C++

software development principles

data pipelines

analysis tools

algorithm development

tooling

performance optimization

back-testing

simulation

mentoring

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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