Sr engineering strategy nyc  experience level mid senior experience required 8 years education level

Company Profile esrhealthcare.com.mysmartjobboard.com Sr engineering strategy nyc Experience level: Mid-senior Experience required: 8 Years Education level: Master’s degree Job function: Information Technology Industry: Financial Services Compensation: View salary Total position: 1 Relocation assistance: No Visa sponsorship eligibility: NJOB DESCRIPTION searching for a Senior Software Engineer, who can be based in our New York City office in a hybrid schedulThe Senior Software Engineer position in the Data Strategy team at Guy Carpenter (“GC”) presents a chance to create and execute data products for the world s biggest and most reputable reinsurance brokerageData Strategy has a “start-up style” mandate (within a $2 billion company) to enhance the acquisition, storage, analysis, fidelity, and monetization of client, internal, and third-party data across the GC organizationThis innovation spans our petabyte-scale insured assets, including property, business, marine, and aviation entities, and their associated risks, such as hurricanes, wildfires, cyber-attacks, and wars, in a financial and economic contextAs a member of the Data Strategy group, the Senior Software Engineer will work with fellow data and web engineers, data scientists, product managers, business analysts, and stakeholders from other internal groups to design and improve data-centric projects with the dual mandate of (1) increasing the efficiency of the data collection and analysis process across GC and (2) driving the monetization of data via newly designed and existing products for GC’s reinsurance clientsThe Senior Software Engineer will be the head facilitator on multiple innovative initiatives and will have ownership over the design, development, and delivery of projects requiring direct reporting to senior-level management in both business and technical groupsRESPONSIBILITIESWork with a product manager as technical lead of a team of ~5 engineers, data scientists, and analysts to design, scope, and oversee work in an Agile environmenManage junior data and web engineers, focusing on productivity, quality, and professional developmentPartner with the head of Data Strategy and other senior engineers to create and evangelize best-in-class engineering competency and tooling within the organizationEnforce strong development standards across the team through code reviews, automated testing, and monitoringEstablish strong relationships with internal clients as an engineering representative for data strategyContribute to the overall Data Strategy vision and execution via quarterly planning and executive committee reportingPartner regularly improving engineering recruiting process for the required skillsets and resourcing demandsLearn the complex business of reinsurance to coach data technologists and execute the team s initiatives more effectivelyDevelop, implement, and deploy custom data pipelines powering machine learning algorithms, insights generation, client benchmarking tools, business intelligence dashboards, reporting, and new data productsInnovate new ways to leverage large and small datasets to drive revenue via the development of new products with the Data Strategy team, as well as the enhancement of existing productsArchitect engineering solutions using the latest cloud technologies in a process that spans hypothesis-validating prototypes to large-scale production data products, ensuring internal security and regulatory complianceDesign solutions that account for unstructured data and document management system(s), including ingesting, tracking, parsing, analyzing, and summarizing documents at scalePerform exploratory and goal-oriented data analyses to understand and validate the requirements of data products and help create product roadmapsDevelop, implement, and deploy front-ends and APIs, which may involve business intelligence dashboards, data pipelines, machine learning algorithms, and file ingestion mechanismsQUALIFICATIONS5-8+ years of relevant experience in data-focused software engineeriMaster’s Degree or Ph.D. in data science, computer science, or related quantitative field such as applied mathematics, statistics, engineering or operations research, or equivalent experienceExperience working with Python-based server-side web frameworks like FastAPI or DjangStrong knowledge of SQL and familiarity with the high-level properties of modern data storesStrong understanding of the contemporary SDLC, including dev/QC/prod environments, unit/integration/UA testing, CI/CD, etcExperience building and maintaining CI/CD pipelines with tools such as Azure DevOps, GitLab, Travis, Jenkins, etc2+ years of data analysis, AI, or data science workExperience with data cleaning, enrichment, and reporting to business usersExtensive experience with (py)Spark, Python, JSON, and SQLExperience integrating data from semi-structured and unstructured sourcesKnowledge of various industry-leading SQL and NoSQL database systemsExperience with or strong interest in learning about LLMs in a productized contextADDITIONAL QUALIFICATIONSStrong understanding of entity resolution, streaming technologies, and ELT/ETL frameworkExperience with web scraping and crowdsourcing technologiesExperience with Databricks and optimizing Spark clustersExperience architecting web ecosystems from the ground up, including monolith vs. microservice decisions, caching technologies, security integrations, etcExperience working with data visualization dashboarding tools (PowerBI, Tableau)Insurance domain knowledge or strong interest in developing itExperience with the MS Azure cloud environment Powered by Webbtree