The Voleon Group

Staff Software Engineer, Back Office

Remote

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Asset Management, FintechIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science or equivalent professional experience, along with 7+ years of software engineering experience designing and building high-performance, reliable systems. They should have proven expertise in operating and scaling large-scale, mission-critical production systems, with proficiency in programming languages such as Python.

Responsibilities

The Staff Software Engineer will design and optimize robust, scalable data infrastructure and real-time stream processing systems to support historical and live pipelines using tools like Python, Airflow, Go, and Apache Beam. They will develop and maintain observability and remediation tools to monitor and analyze trading performance and risk, ensuring reliability and transparency in operations. The role also involves leading efforts to integrate new financial assets and markets, clarifying requirements and ensuring seamless functionality within existing systems, enhancing the resilience, scalability, and performance of accounting and reporting systems, and building advanced tooling to unify data from diverse vendors. Furthermore, they will guide and support the growth of other engineers on the team by mentoring them and sharing their expertise, best practices, and knowledge, and building the infrastructure required for optimal extraction, transformation, and loading of data from various data sources.

Skills

Python
Airflow
Go
Apache Beam
Data Infrastructure
Stream Processing
Monitoring and Remediation Tools
Financial Asset Integration
System Scalability
Data Standardization
Cross-Functional Collaboration

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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