Hybrid P&C Actuarial Consultant – AI & Data

Marsh McLennan

New York (NY)

Hybrid

USD 70,000 - 130,000

Full time

3 days ago
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Benefits offered by this job

Health and welfare benefits
Tuition assistance
401K savings
Employee assistance programs

Job summary

Oliver Wyman's Actuarial Practice in the US is seeking a consultant to develop, validate, and operationalize actuarial models and methodologies. You will work with data, pricing, reserving, and capital modeling, leveraging AI-enabled approaches and collaboration with engineering teams.

We value strong communication, rigorous analytics, and the ability to translate complex results for clients and senior stakeholders.

Qualifications

  • BA/BS degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, or related field.
  • 3+ years actuarial experience and pursuing CAS with 3+ exams.
  • Strong communication to convey complex info to diverse audiences.
  • Analytical problem-solving mindset and ability to meet tight deadlines.
  • Advanced Excel for data analysis and reporting.
  • Strong organizational skills to manage multiple tasks and deadlines.

Responsibilities

  • Data analytics: analyze large datasets to inform decisions.
  • Provide technical guidance on actuarial methodologies and governance.
  • Collaborate with stakeholders, translating findings into recommendations.
  • Partner with engineering teams to translate actuarial specs into technical requirements.
  • Ensure quality governance and validate data, models, and assumptions.
  • Contribute to tools and processes to improve operational excellence.

Skills

Actuarial experience
Communication skills
Analytical mindset
Excel
Time management

Education

BA/BS Actuarial Science or related

Tools

Python
R
SQL
Excel

Job description

Oliver Wyman's Actuarial Practice in the US is seeking a consultant to develop, validate, and operationalize actuarial models and methodologies. You will work with data, pricing, reserving, and capital modeling, leveraging AI-enabled approaches and collaboration with engineering teams.

We value strong communication, rigorous analytics, and the ability to translate complex results for clients and senior stakeholders.

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