Saturday Jobs and Opportunities Roundup
Check out these top job listings from companies like Charter Next Generation, Farmwise and Eli Lilly.
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- 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: N JOB DESCRIPTION searching for a Senior Software Engineer, who can be based in our New York City office in a hybrid schedul The 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 brokerage Data 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 organization This 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 context As 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 clients The 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 groups RESPONSIBILITIES Work 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 environmen Manage junior data and web engineers, focusing on productivity, quality, and professional development Partner with the head of Data Strategy and other senior engineers to create and evangelize best-in-class engineering competency and tooling within the organization Enforce strong development standards across the team through code reviews, automated testing, and monitoring Establish strong relationships with internal clients as an engineering representative for data strategy Contribute to the overall Data Strategy vision and execution via quarterly planning and executive committee reporting Partner regularly improving engineering recruiting process for the required skillsets and resourcing demands Learn the complex business of reinsurance to coach data technologists and execute the team's initiatives more effectively Develop, implement, and deploy custom data pipelines powering machine learning algorithms, insights generation, client benchmarking tools, business intelligence dashboards, reporting, and new data products Innovate 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 products Architect 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 compliance Design solutions that account for unstructured data and document management system(s), including ingesting, tracking, parsing, analyzing, and summarizing documents at scale Perform exploratory and goal-oriented data analyses to understand and validate the requirements of data products and help create product roadmaps Develop, implement, and deploy front-ends and APIs, which may involve business intelligence dashboards, data pipelines, machine learning algorithms, and file ingestion mechanisms QUALIFICATIONS 5-8+ years of relevant experience in data-focused software engineeri Master’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 experience Experience working with Python-based server-side web frameworks like FastAPI or Djang Strong knowledge of SQL and familiarity with the high-level properties of modern data stores Strong understanding of the contemporary SDLC, including dev/QC/prod environments, unit/integration/UA testing, CI/CD, etc Experience building and maintaining CI/CD pipelines with tools such as Azure DevOps, GitLab, Travis, Jenkins, etc 2+ years of data analysis, AI, or data science work Experience with data cleaning, enrichment, and reporting to business users Extensive experience with (py)Spark, Python, JSON, and SQL Experience integrating data from semi-structured and unstructured sources Knowledge of various industry-leading SQL and NoSQL database systems Experience with or strong interest in learning about LLMs in a productized context ADDITIONAL QUALIFICATIONS Strong understanding of entity resolution, streaming technologies, and ELT/ETL framework Experience with web scraping and crowdsourcing technologies Experience with Databricks and optimizing Spark clusters Experience architecting web ecosystems from the ground up, including monolith vs. microservice decisions, caching technologies, security integrations, etc Experience working with data visualization dashboarding tools (PowerBI, Tableau) Insurance domain knowledge or strong interest in developing it Experience with the MS Azure cloud environment
