Actuarial Data Analyst

Full Time On Site (Full Time) @Milliman in Actuarial
  • Gurugram, Haryana, India View on Map
  • Post Date : November 12, 2021
  • Apply Before : December 12, 2021

Job Description

Job Summary:

The Life & Annuity Predictive Analytics (LAPA) business unit is a lean, agile, diverse, and geographically distributed data science startup within Milliman.  We develop leading edge data products and deploy them on the cloud as web applications for the world’s premiere life insurers.

As an Actuarial Data Analyst on the LAPA team, you will play a key role in the development, testing, deployment, and maintenance of data processing and analytics infrastructure that prepares data for predictive modeling. You will work closely with other data scientists, data engineers, software engineers, and domain experts to continuously improve our data collection, data cleaning, data analysis, predictive modeling, data visualization, and reporting pipeline.

Primary Responsibilities:

  • Develop data preparation and data analysis scripts (Python and SQL)
  • Take ownership of the inputs/outputs for a data preparation pipeline
  • Support development of internal processes to validate and visualize raw and prepared data
  • Document and communicate data analysis results

Required knowledge and experience:

  • Basic actuarial domain knowledge of life and annuity products
  • Passed one or more actuarial exams
  • Proficiency developing scripts for data manipulation (Python required)
  • Experience with SQL and data retrieval
  • Passion for data, computing, and problem solving
  • Ability to work in a highly collaborative environment as well as independently with minimum supervision
  • Ability to take ownership of a technical challenge and see it through to a successful conclusion
  • Excellent written and verbal communication skills
  • 0 – 1 years of professional work experience

Preferred knowledge and experience:

  • Experience with distributed computing technologies (Databricks, Spark, H2O, Hadoop, etc.)
  • Advanced programming skills in Python including pandas and NumPy
  • Advanced programming skills in R including experience with the tidyverse suite of packages
  • Experience with RStudio Shiny web application framework
  • Basic knowledge of web application technology (JavaScript, HTML, and CSS)

Required education:

  • Tech/B.E. in a quantitative field (e.g. Computer Science, Actuarial Science, Engineering, Statistics/Mathematics, Data Science, etc.)

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