Quantitative Analytics Manager

Job Description

In this role, you will: Manage a team responsible for the creation and implementation of low to moderate complex financial areas Mitigate operational risk and compute capital requirements Determine scope and prioritization of work in consultation with experienced management Participate in the development of strategy, policies, procedures, and organizational controls with model users, developers, validators, and technology Make decisions and resolve issues regarding operational risks and enable decision making in business, product, marketing, or other functional areas Manage a team comprised of quantitative analysts and credit risk analysts Interact with internal and external audit or regulators Manage allocation of people and financial resources for Quantitative Analytics Mentor and guide talent development of direct reports and assist in hiring talent Required Qualifications: 4+ years of Quantitative Analytical experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 2+ years of leadership experience Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, or computer science Desired Qualifications: 4+ years of experience in similar role Bachelors degree or higher in a quantitative fields such as Computer Science, Applied mathematics, engineering, statistics, finance or econometrics from top tier institutes Strong problem solving skills 4+ years of experience in credit risk analytics with exposure to statistical and machine learning model development, implementation or ML Ops 2+ years of advanced programming expertise in SAS 4+ years of advanced programming and debugging skills in Python OOP, packaging, build and deployment, data structures and algorithms, decorators, logging, exception handling, JIT compilers 2+ years of experience in High performance computing, Big Data and real time solutions PySpark, MapR streaming, parallel processing, real time optimization. 2+ years of experience in unit testing, UAT testing, regression testing and code review Comfortable with Git, GitHub, CI/CD pipelines and UNIX commands Excellent verbal, written, and interpersonal communication skills Strong ability to develop partnerships and collaborate with other business and functional areas Knowledge and understanding of issues or change management processes Trouble-shoot issues and pro-actively enact solutions in real time Job Expectations: Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities Understanding of bank regulatory data sets and other industry data sources Ability to research and report on a variety of issues using problem solving skills Exposure to banking domain in Credit Risk area on Retail/Commercial portfolio