Staff Software Engineer, Finance Engineering
Flex- Full Time
- Junior (1 to 2 years)
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.
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.
Investment management using machine learning algorithms
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.