Senior Financial Data & Analytics Engineer Required Qualifications (as evidenced by an attached resume): Bachelors degree (foreign equivalent of higher) in Data Science, Computer Science, Information Systems, Finance, Economics, or related field. Five (5) years or
Identity Management Engineer Required Degree/Qualifications: (as evidenced by an attached resume): Bachelor’s Degree. In lieu of the Bachelors degree, a combination of directly related full-time experience supporting Identity and Access Management services and education totaling nine
Revenue Analyst Business Intelligence At The Family Security Plan, we are building a Business Intelligence team focused on improving business decisions through data. We are looking for a naturally curious problem solver who enjoys figuring out
Hybrid Quantitative Behavioral Modeling Analyst Work Location/Arrangement: This is a hybrid position requiring in-office work four (4) days every week at an M&T office in Buffalo, NY, Bridgeport, CT, Wilmington, DE, Baltimore, MD, Washington, DC, or
Manager, Commercial Scorecard & Risk Rating Modeling This is a hybrid position requiring in-office work four days every week. Depending upon the location of the final candidate, there might be potential for remote work. The Manager,
Quantitative Risk Management Expert Work Arrangement/Location: This is a hybrid position requiring in-office work three days every week. Ideally the position will be based in Buffalo, NY but may be in an M&T office in Buffalo,
Senior CMM Quality Engineer | Lockheed Martin Quality Engineer (QE) position supporting the Advanced Inspection Team (AIT) located at RMS Sikorsky in Stratford, CT. This position will report to the Dynamics Quality Engineering Manager. The QE
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
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