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About the Role

This position supports actuarial research, business intelligence, and data analytics initiatives through statistical analysis, data engineering, and analytical model development. The employee is responsible for designing and maintaining data pipelines, performing actuarial and statistical analyses, developing analytical tools and dashboards, and communicating research findings and recommendations to technical and non-technical audiences.

Responsibilities

Responsible for statistical analyses, actuarial and/or research models
Design and maintain data pipelines, analytical models, and automated processes using Python, R, SQL, Snowflake, or other programming languages.
Extract, validate, and analyze data from multiple sources to support research and business initiatives.
Drawing inferences, developing reports, and presenting analysis and recommendations to technical and non-technical audiences.
Participates in multiple research, business intelligence, and data analytics projects simultaneously

Requirements

3 to 6 years experience in related field.
Strong organizational, communication, written, and analytical skills with the ability to work independently and manage multiple priorities.
The candidate must communicate effectively with all levels of personnel and external contacts.
Actuarial background or experience in the property & casualty insurance industry is a plus.

Skills

Python
R
SQL
Snowflake
Advanced Excel
Pyramid
Power BI
Tableau

Location

Hybrid

Work Type

Hybrid
Full-time

Experience Level

3 to 6 years

Education Level

Bachelor’s Degree – B.A. / B.S. Mathematics, Statistics, Economics or Computer Science
Actuarial Science
Masters in Data Science