Miliman| Actuarial Data Analyst

  • Eligibility : Tech/B.E. in a quantitative field (e.g. Computer Science, Actuarial Science, Engineering, Statistics/Mathematics, Data Science, etc.)
  • Job Description: Actuarial Data Analyst||
  • Job Location : Gurugram||
  • Batch: 2020, 2021||
  • Experience : No full time Experience required ||
  • Salary : As per market standard||
  • About Company: Milliman is one of the world’s largest independent professional services firms. Founded in 1947, the firm provides consulting services to clients in four practice areas: healthcare, life insurance and financial services, employee benefits and pensions, and property and casualty insurance. Today, Milliman has more than 3,500 employees, more than $1 billion in annual revenue, and more than 60 offices worldwide.

Job Details

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.)

Location:                     Gurugram, India

About Milliman:

Milliman is one of the world’s largest independent professional services firms. Founded in 1947, the firm provides consulting services to clients in four practice areas: healthcare, life insurance and financial services, employee benefits and pensions, and property and casualty insurance. Today, Milliman has more than 3,500 employees, more than $1 billion in annual revenue, and more than 60 offices worldwide.

Apply link : https://recruiting2.ultipro.com/MIL1017/JobBoard/f54234e9-dfde-b183-fd20-4fbdb19cba7a/OpportunityDetail?opportunityId=92166f74-d117-473e-ae37-0d1d35bcbac2

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

%d bloggers like this: