Vice President, Quantitative Engineer

The Company is seeking a Vice President, Quantitative Engineer to build and maintain software, models, and decision-support tools for research and trading workflows. Responsibilities include turning research insights into reliable, scalable code; developing automation pipelines; implementing model signals and optimizers; and supporting production models. The role also involves improving development, testing, packaging, and deployment practices; evaluating and processing data sources; and collaborating with research, risk, compliance, and portfolio teams. The successful candidate will provide technical guidance, review and maintain code, and mentor engineering colleagues. Candidates should have at least 10 years of relevant experience and expert Python skills, including experience with scientific computing libraries and fixed-income pricing tools. Required expertise includes fixed-income products and data, production APIs and services, mathematical models, data platforms, ETL pipelines, lakehouse technologies, and PostgreSQL. Hands-on familiarity with agent frameworks and large language model techniques is also required, along with experience leading technical projects, managing stakeholders, and mentoring engineers. Strong communication, problem-solving, code ownership, and experience scaling a codebase in a fast-paced environment are essential; experience with other asset classes is an advantage.