Senior Software Engineer Data Strategy

JOB DESCRIPTION:

• Guy Carpenter is searching for a Senior Software Engineer who can be based in our New York City office in a hybrid schedule.
• 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 worlds biggest and most reputable reinsurance brokerage.
• Data Strategy has a startup style mandate (within a $2 billion company) to enhance the acquisition storage analysis fidelity and monetization of client internal and thirdparty data across the GC organization.
• This innovation spans our petabytescale insured assets including property business marine and aviation entities and their associated risks such as hurricanes wildfires cyberattacks 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 datacentric 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 seniorlevel 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 environment.
• 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 bestinclass 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 teams 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 hypothesisvalidating prototypes to largescale 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 goaloriented data analyses to understand and validate the requirements of data products and help create product roadmaps.
• Develop implement and deploy frontends and APIs which may involve business intelligence dashboards data pipelines machine learning algorithms and file ingestion mechanisms.

QUALIFICATIONS:

• 58 years of relevant experience in datafocused software engineering
• 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 Pythonbased serverside web frameworks like FastAPI or Django
• Strong knowledge of SQL and familiarity with the highlevel 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 semistructured and unstructured sources.
• Knowledge of various industryleading 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 frameworks.
• 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.

ABOUT: Guy Carpenter & Company LLC is a leading global risk and reinsurance specialist with more than 3100 professionals in over 60 offices around the world. Guy Carpenter delivers a powerful combination of broking expertise trusted strategic advisory services and industryleading analytics to help clients adapt to emerging opportunities and achieve profitable growth. Guy Carpenter is a business of Marsh McLennan (NYSE: MMC) the world s leading professional services firm in the areas of risk strategy and people. The company s 75000 colleagues advise clients in over 130 countries. With annualized revenue approaching $17 billion Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four marketleading companies including Marsh Mercer and Oliver Wyman.

,Python,FastAPI,Django,SQL,CI/CD,Azure DevOps,GitLab,Travis,Jenkins,Data Analysis,Data Science,AI,(py)Spark,ELT/ETL Frameworks,Web Scraping,Crowdsourcing,Databricks,Optimizing Spark Clusters,PowerBI,Tableau,