CAPE ANALYTICS, INC – $120,848.00/Year

Experience must have included Use of SQL, R and Python languages to process and analyze large datasets; Partnering with technical resources and internal stakeholders to develop complex multivariate predictive models to meet usecase needs of clients in the financial services industry; Managing the development and delivery of data products where the primary component is a dataset or a data feed for technical business users such as data scientists and actuaries; Communicating predictive power of predictive models to technical and nontechnical stakeholders including senior leadership, clients, business partners and regulatory organizations; Conducting tests of financial services analytics products with client portfolios and subsequent presentation of results to inform product development or to assist clients in evaluating the benefits of the model and providing recommendations for implementing a statistical model andor data elements; Presenting projects to Senior Leadership and managing execution of complex technical projects within tight timelines; and Developing solutions with distributed technical teams across different time zones.br br CONTINUATION OF DUTIES FROM H.11 DUE TO CHARACTER LIMITSbr br Interpreting results of tests and analyses to develop insights into formulated problems within the businesscustomer context and provide guidance on risks and limitations to include conducting tests of financial services analytics products with client portfolios and subsequent presentation of results to inform product development or to assist clients in evaluating the benefits of the model and providing recommendations for implementing a statistical model andor data elements. Implementing the technologies, systems, processes and tools that power Capes data and analytics pipeline, including how theyre deployed today and how they could be deployed towards the new real estate product line. Advancing product development, applying new technologies and leveraging fundamental concepts in data science and machine learning. Launching new products into the real estate product line, coordinating across engineering, customer success, sales, marketing, finance and legal to drive each successful product launch. Coordinating with teams to obtain data to monitor, measure and ensure products success in the market. Will travel 10 US andor Intl travel to meet with clients and attend conferences. May Telecommute.