Analyst in Actuarial and Data Science

Position Overview

Marsh USA LLC is seeking candidates for the position of Analyst in Actuarial and Data Science based in the New York, NY office.
A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with company policies.

Compensation: The applicable base salary range for this role is $113,500 to $192,800 per year. The base pay will be determined based on experience, skills, training, location, certifications, and education, and this role may also be eligible for performance-based incentives.

Key Responsibilities

• Support the development and implementation of actuarial and data science models.
• Leverage established actuarial techniques alongside machine learning and predictive models for commercial insurance and risk management.
• Consult with clients and colleagues on complex financial and statistical analyses, developing market-leading analytics-based tools.
• Identify business problems and determine structured and unstructured data needs and availability.
• Build Machine Learning models and deliver insights that unlock value for clients and colleagues.
• Demonstrate advanced statistical analysis, data mining, and research techniques in a collaborative environment.
• Stay current with ongoing research in the field and introduce new approaches to the team.
• Serve as an internal expert resource and champion for data science.
• Coach team members on the delivery of analytics-based tools, analyses, and presentation of findings.

Required Qualifications

• Master’s degree (or foreign equivalent) in Analytics, Mathematics, Statistics, Data Science, or a related field.
• Minimum of two (2) years’ experience in a Data Analyst or related position.
• At least two (2) years of experience in predictive modeling using advanced approaches (e.g., multiple linear regression, random forest, or neural nets in Python).
• Experience cleaning, preparing, and manipulating data with Python libraries such as Numpy and Pandas.
• Proficiency in building models using PyTorch or TensorFlow deep learning frameworks.
• Experience connecting to large databases and writing SQL queries via Excel VBA or Python.
• Skilled in data visualization and communication using tools like Power BI, Tableau, or Qlik.
• Experience analyzing, quantifying, and communicating financial risk in a corporate setting.

Benefits & Perks

• Competitive total rewards package including health and welfare benefits.
• Tuition Assistance
• 401K Savings and other retirement programs.
• Employee assistance programs.