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Sr engineering strategy nyc
Experience level: Mid-senior Experience required: 8 Years Education level: Masters 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 GCs 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
Masters 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
ESR Healthcare
