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

Position Overview

  • Location Type: Not Specified
  • Employment Type: Full-time
  • Salary: Not Specified

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. As a Senior Software Engineer on the Back Office Engineering team, you will be developing the company’s production trading systems and the data pipelines that drive their machine learning efforts. You’ll work closely with both finance and research teams, contributing to a platform supporting diverse requirements and complex trading behaviors.

Requirements

  • Bachelor’s degree in Computer Science or equivalent professional experience in a related technical field.
  • 7+ years of software engineering experience designing and building high-performance, reliable systems.
  • Proven expertise in operating and scaling large-scale, mission-critical production systems.
  • Proficiency in programming languages such as Python.
  • Strong communication and project management skills, particularly in navigating complex technical domains and cross-functional teams.

Responsibilities

  • Design and optimize robust, scalable data infrastructure and real-time stream processing systems using tools like Python, Airflow, Go, and Apache Beam.
  • Develop and maintain observability and remediation tools to monitor and analyze trading performance and risk.
  • Lead efforts to integrate new financial assets and markets, clarifying requirements and ensuring seamless functionality.
  • Enhance the resilience, scalability, and performance of accounting and reporting systems.
  • Build advanced tooling to unify data from diverse vendors, standardizing symbol mappings for consistency and accuracy.
  • Lead complex, company-wide projects by collaborating with research, legal, trading, finance operations, data, and infrastructure teams.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources.
  • Guide and support the growth of other engineers on the team through mentoring and knowledge sharing.

Company Information

Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. They have led their industry for over a decade and work at the frontier of applying machine learning to investment management. They are looking for brilliant people with a passion for solving problems through innovation and engineering fundamentals. They embrace experimentation and encourage a collaborative environment.

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.

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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