Quantitative Software Engineer
A long-standing and highly respected financial firm is seeking a talented Quantitative Software Engineer to join one of its core internal modeling teams. This group plays a pivotal role in the development and enhancement of models that drive decision-making across risk management, pricing strategies, and trade execution. The position offers a unique opportunity to work at the intersection of quantitative research, software engineering, and data science. In this role, you will collaborate closely with quantitative analysts, technologists, and data specialists to build and refine sophisticated tools and models. The team operates in a highly collaborative environment, fostering continuous learning and innovation. You'll be surrounded by experienced professionals who are passionate about their work and committed to mentoring and knowledge sharing. The firm is renowned for its strong culture, emphasizing long-term career development, employee retention, and a healthy work-life balance. With a track record of stability and excellence, it offers an environment where your contributions will be valued and your growth supported.
What You Will Do:
- Work on the end-to-end development of a variety models and tools
- Collaborate with end users to modify, improve, and optimize existing models and tools
- Work with project managers to plan, design, and develop new initiatives
- Ensure models are performing optimally by running, testing, and validating
Who You Are:
- 6+ years of experience at a financial institution in a technical role
- Ideally a M.S. degree in a quantitative field
- Strong understanding of financial markets and derivatives
- Exceptional Python programmer, using daily in previous roles
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