Investment Software Engineer
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As a top tier quantitative software engineer, you will perform and provide the following:
- Technical consulting on our data and cloud based systems and tools
- Formulate and define specifications for complex operating software programming applications
- Modify and maintain existing applications releases and using custom, vendor, or service oriented utilities
- Design, code, debug, test, and document application components
- Perform quality assurance review and/or evaluate new and existing software products
- Implement and develop software application tools and API libraries across all of our ALM programs
- Research, learn, and apply new technologies that can improve performance and minimize operational downtime
- Automate processes to streamline and reduce touch points
- Design, implement, and enforce development governance controls and procedures Develop and provide unit, integration, and regression tests
- Troubleshoot, debug, and patch application and platform issues
- Undertake broader special research and development projects as needed
- Collaborate with Enterprise, Technology, and Experience (ETX) to manage the underlying data
Skills and qualifications
- Strong understanding of databases, cloud computing, and software development lifecycle
- Understanding of fixed income and derivative asset modelling
- Degree in math, statistics, computer science, quantitative finance, or engineering
- Programming fluency in Python, SQL, and VBA
- 5+ years of relevant work experience
Preferred qualifications
- Experience in a market risk setting at an insurance company, asset manager, bank, or hedge fund
- Familiarity with insurance company fixed income asset-liability management principles
- Full stack engineer with backend experience
- Graduate degree from top tier school
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