Software Engineer
VectraSalary not specified
- Full Time
- Senior (5 to 8 years)
$225,000 – $255,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Asset Management, Fintech, Trading PlatformsIndustries
Position Overview
- Location Type: Not Specified
- Employment Type: Full-time
- Salary: $225,000 - $255,000 (Base Salary Range)
As a Senior Software Engineer on Voleon’s Trading Platforms Engineering team, you will be developing the company’s production trading systems and the data pipelines that drive our machine learning in both production and research. You will work closely with finance and research teams to contribute to a platform supporting diverse requirements and complex trading behaviors.
Company Information
Voleon is a technology company applying state-of-the-art machine-learning techniques to real-world problems in finance. They are a multibillion-dollar asset manager with ambitious goals for the future. The team emphasizes innovation, engineering fundamentals, experimentation, and collaboration.
Responsibilities
- Design real-time distributed trading systems that place orders across a global set of markets and asset classes (Go / C++).
- Build and optimize large-scale data infrastructure and stream processing systems for historical and real-time machine learning feature pipelines (Python/Airflow/Go/beam).
- Own observability and remediation tooling used to analyze trading performance and risk (Go / Python / React).
- Integrate with new assets and markets and drive clarity on the resulting requirements.
- Improve the resilience and performance of our trading systems.
- Develop tooling to integrate data from diverse vendors, unifying symbol mappings for data consistency.
- Lead company-spanning complex projects.
- Collaborate across research, legal, trading, finance operations data, and infrastructure teams to deliver end-to-end trading systems.
Requirements
- Computer Science Degree or equivalent experience.
- 5+ years of software engineering experience building high-performance systems.
- Experience operating and scaling mission-critical, large-scale production systems in languages such as Python, Go, and C++.
- Excellent communication and project management skills in complex technical domains.
- Track record mentoring engineers and leading technical direction.
Preferred Qualifications
- Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka).
- Experience with profiling and performance optimizations on distributed systems. (Go / C++)
- Exposure to modern Python data science tooling. (pandas, polars, dask, duckdb etc.)
Skills
Go
C++
Python
Airflow
beam
React
Distributed Systems
Data Infrastructure
Stream Processing
Trading Systems
Real-time Data
Machine Learning Pipelines
Data Integration
Performance Optimization
System Resilience
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