Analytics Application Engineer Job Summary

Chubb is the world’s largest publicly traded property and casualty insurer.  With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients.  The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

The North America Data Analytics team at Chubb is seeking an analytics application engineer with 4+ years of industry experience to join our fast-paced, high-energy team. This team is responsible for building data pipelines and delivering predictive modeling and data science solutions to our business partners that will meet business objectives and move-the-needle to improve upon key performance metrics.      

As an analytics application engineer for North America Data Analytics, you will develop solutions to complex business problems which combine industry standard practices with innovation. This position offers exposure to a wide variety of analytic tools and technologies. Be ready to meet data challenges head-on as you develop and refine data processes to marry data from multiple structured and unstructured data sources which ultimately feed into the creation, evaluation, implementation, and maintenance of predictive models.  

In this role you will:

• Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and facilitate the data integration process.


• Create and maintain automated and semi-automated data pipelines within on-prem servers as well as in cloud (Azure).


• Play an active role in model deployment and testing.


• Create excellent working relationships with business partners across the Chubb organization, IT and Analytics peer groups.


• Effectively communicate with key stakeholders in written, oral and presentation formats.

• Required:
  
  
  
  • Significant programming experience Python
  
  
  • Working knowledge/familiarity with Git version control.
  
  
  • Solid understanding of databases and ETL/ELT best practices.
  
  
  • Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP).
  
  
  • Experience with architecting and consuming APIs in a scalable (multi-threaded/batched) fashion.
  
  
  • Ability to multi-task, learn new things quickly, and have excellent problem solving & communication skills.
  
  
  • A mindset for collaboration, knowledge sharing and keeping up to date on emerging industry trends.
  
  
  
  


• Preferred:
  
  
  
  • Comfortable with command line (Linux, Windows) scripting.
  
  
  • Strong programming ability in SQL.
  
  
  • Strong expertise in authoring ETL pipelines and processing data at scale.
  
  
  
  


• Nice to have:
  
  
  
  • Experience with at least one other programming language (R, Julia, Scala, Go, Java, C++). 
  
  
  • Exposure to technologies such as DBT, Apache AirFlow or Luigi.
  
  
  • Working knowledge of containers, specifically Dockerizing APIs.
  
  
  • Exposure to CI-CD pipelines.
  
  
  • Comfortable with at least one NoSQL database (MongoDB, ElasticSearch, CosmosDB, etc.).
  
  
  
  


• Education
  
  
  
  • Bachelor’s degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics or Engineering (advanced degree a plus).
  
  
  
  

Location:

• We are open to the following work locations for this position: (Philadelphia, PA - Jersey City, NJ - Whitehouse Station, NJ - Simsbury, CT).


• Please note there will be limited expected travel to various work locations for in person collaboration and meetings.