Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Group QRI is an investments and research division within Asset Management at Fidelity. QRI is responsible for managing and developing quantitative and hybrid
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. Position Description: Performs deep, independent credit research to add value to bond funds and performs minimal credit risk (MCR) assessments on credits for money
Director, Quant Data Platform You will lead the dataset onboarding efforts for the Quantitative Research Platform (QRP) team within Fidelitys Quantitative Research & Investments (QRI) division. In this role, you will collaborate with technology partners to
Lead Director, Informatics (Performance Reporting & Insights) Were building a world of health around every individual shaping a more connected, convenient and compassionate health experience. At CVS Health, youll be surrounded by passionate colleagues who care
Job Title Performs deep, independent credit research to add value to bond funds and performs minimal credit risk (MCR) assessments on credits for money market funds covering a subset of banks and finance companies, including Business
Position Summary The Vice President, Risk & Portfolio Analytics role will be based in our Manchester, MA office and will support and help advance the analytics function across the Avoca Risk platform. This role is well
Essential Duties and Responsibilities: - Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations. - Develop and maintain technical integrations between solutions and Maximus technologies such as
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with