Senior Quantitative Analyst

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Quantitative Analytics Specialist in Charlotte, NC (Hybrid). Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today. Contract Duration: 3+ Months Required Skills & Experience • 4+ years of Quantitative Analytics experience • 4+ years of hands-on coding experience, python and SQL are most relevant. • 2+ years of derivative product and market experience in equity and prime brokerage. • Excellent verbal, written, and interpersonal communication skills. • Experience with large scale software implementation in python. • Experience with Sales and Trading partners as a model developer. • Master's or higher degree or equivalent in computer science, computational finance, mathematics or similar technical fields. • Individual has expertise on theory and mathematics behind the data. What You Will Be Doing • The Credit and Counterparty Risk Analytics (CCRA) team, part of Market and Counterparty Risk Analytics (MCRA), is responsible for designing and specifying credit and counterparty risk models. • These models are primarily employed for counterparty credit risk oversight and encompass a wide array of product categories, including derivatives, securities financing transactions, structured products, and other counterparty exposures. • This position is an individual contributor role dedicated to developing, enhancing, and maintaining the PEAC model for counterparty risk assessment within the Prime Brokerage business. • The successful candidate will collaborate closely with stakeholders across risk management, model validation, and technology functions to deliver robust and effective risk analytics solutions.