Lead Software Engineer- Python / Quant Developer / Quant Research
On-siteNew York City, New York, United States or New York, United States
Job Summary
Execute creative software solutions, design, and technical troubleshooting to build market-leading technology products within the Asset and Wealth Management Technology Team. Develop secure, high-quality production code while partnering daily with Quant Research on model development, validation workflows, and the build-out of reusable Python Quant libraries. Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes through automated testing and incident analysis. Lead evaluation sessions with external vendors and internal teams to probe architectural designs and applicability within existing systems.
Required Qualifications
- Formal training or certification on software engineering concepts
- 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Strong experience with Python coding
- Experience in financial Services across Asset Classes
- Knowledge of statistical methods, quant or data analytics
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
Desired Qualifications
- CFA charter holder
- Experience with systematic portfolio management
- Experience with model development, validation workflows, and the build-out of reusable Python Quant libraries
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