The Voleon Group

Staff Software Engineer, Credit Execution

Remote

$270,000 – $300,000Compensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Asset Management, FintechIndustries

Position Overview

  • Location Type: [Not Specified]
  • Employment Type: Full-time
  • Salary: $270,000 - $300,000 (Base salary range)

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 Staff Software Engineer on the Credit Execution Engineering team, you will develop the company's production trading systems and data pipelines, working closely with finance and research teams to support diverse requirements and complex trading behaviors. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation, embracing experimentation.

Requirements

  • Computer Science Degree or equivalent experience
  • 7+ years of software engineering experience building high-performance systems
  • Experience operating and scaling mission-critical, large-scale production systems in languages such as Python and Go
  • Excellent communication and project management skills in complex technical domains
  • Ability to understand user stories and design solutions around real-world requirements
  • Track record mentoring engineers and leading technical direction

Responsibilities

  • Design real-time distributed trading systems that place orders across global markets and asset classes (Go)
  • Own observability and remediation tooling used to analyze trading performance and risk (Go / Python)
  • 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
  • Lead complex projects spanning across the company
  • Collaborate across research, legal, trading, finance operations data, and infra teams to deliver end-to-end trading systems
  • Mentor and develop other engineers on the team, and share your practices and knowledge with the team and company

Preferred Qualifications

  • Expertise in building and optimizing data pipelines
  • Experience with profiling and performance optimizations on highly available systems
  • Experience with designing DR-aware robust software solutions
  • Exposure to modern Python data science tooling

Compensation

  • The base salary range for this position is $270,000 to $300,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits.

Skills

Python
Go
Distributed Systems
Real-time Trading Systems
Data Pipelines
Observability
Risk Analysis
System Resilience
Vendor Data Integration
Mentoring
Project Management

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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