Quantitative Analytics Manager

Description We are offering an opportunity for a Quantitative Analytics Manager to join our team located in Hartford County, Connecticut. The role involves working in the financial industry, focusing on quantitative models and other analytic tools, with a significant emphasis on credit risk and capital management modeling. Responsibilities: Develop and document quantitative models and other analytic tools, with a particular focus on credit risk and capital management modeling. Use advanced analytics tools like AI and ML in the risk management and analytics processes, and ensure their responsible implementation. Communicate complex modeling concepts to both technical and non-technical audiences in a clear and concise manner. Collaborate with cross-functional teams, including risk management, finance, and business operations, to align and integrate quantitative modeling initiatives with business strategies and objectives. Identify analytics use cases and opportunities for applying quantitative modeling techniques to address business challenges and opportunities. Conduct thorough analysis and evaluation to prioritize use cases based on their potential impact on business outcomes. Provide guidance and support to business stakeholders in interpreting and leveraging model outputs to inform decision-making processes. Collaborate with the data team to outline data requirements, ensure governance and data quality around key fields, and to build data pipelines for production models. Document model development and testing in accordance with Model Risk Management guidelines. Oversee the implementation of models into operational systems and processes, ensuring seamless integration and functionality. Work closely with IT and data teams to ensure efficient deployment and maintenance of models in production environments.Requirements Proficiency in Quantitative Analytics is required. Must have a strong command of R Programming. Familiarity with Databricks is necessary. Must have experience with Credit Risk Models. Knowledge of Stress Testing is mandatory. Experience with GitHub is essential. Should have a background in Artificial Intelligence (AI). Proficiency in Machine Learning is necessary. Familiarity with Model Validation is required. Ability to provide leadership to a team is important. Technology Doesn't Change the World, People Do.® Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more.All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.© 2024 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to Robert Half’s Terms of Use (https://www.roberthalf.com/us/en/terms) .