Actuarial and Data Science Model Validation

The Hartford

Quick summary

Work type
On-site
Location
Hartford, CT
Salary
$108,000–$162,000 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $167k
This role $135k
$94k most similar roles pay here $236k

This role pays less than 73% of similar roles. Most pay $130,000–$204,075 — the shaded band above. At the midpoint, this role pays about $135k versus about $167k for comparable roles.

Based on 240 similar postings.

Employer

About The Hartford

The Hartford is a leading provider of property and casualty insurance, group benefits, and mutual funds, serving businesses and individuals across the United States. Industry: Insurance & Financial Services

The Hartford currently has 52 open roles on FindRole.

Listed pay typically runs $128,600–$192,000 across 52 roles with salary data.

Most-posted roles

View all roles at The Hartford

At a glance

TL;DR · Actuarial and Data Science Model Validation

Role Posting Log in to save

The Hartford’s Model Risk Management team is seeking a Senior Analyst to lead the validation of AI and Generative AI (GenAI) models across various business functions. This role involves independently reviewing, challenging, and validating models to ensure they meet internal standards and regulatory requirements while promoting ethical AI principles. Day-to-day responsibilities include designing challenger solutions for GenAI tasks, assessing model accuracy and robustness, and delivering clear validation reports to stakeholders. The ideal candidate has an advanced degree in a relevant field such as Artificial Intelligence or Machine Learning, with 3+ years of industry experience including at least one year focused on GenAI. Strong programming skills in Python, R, SAS/SQL are essential, along with familiarity with tools like Vertex AI and HuggingFace. This role requires staying informed about advancements in AI technologies and regulatory standards to enhance The Hartford’s Model Risk Management function effectively.

Skills

Python R SAS SQL VertexAI Google Agent Development Kit LangChain LangGraph RAG Frameworks HuggingFace OpenAI APIs GenAI Prompt Engineering Context Engineering LLM Evaluation Neural Networks CI/CD GitHub Jupyter Notebook

What you'll do

  • Ensure AI and GenAI models meet internal standards and regulatory expectations through independent validation.
  • Design challenger solutions for various AI tasks like summarization and question answering to test model accuracy.
  • Review data inputs, assumptions, and prompt engineering for AI models to ensure appropriateness and accuracy.
  • Deliver effective challenges to key modeling elements including calculations, outputs, and documentation.
  • Identify findings and compile clear reports on model validation results with recommendations for improvement.
  • Enhance the GenAI model validation framework by standardizing evaluation metrics and deploying tools for efficiency.

What we're looking for

  • Advanced degree in AI, ML, Computational Science, Engineering, Statistics, Applied Mathematics, Actuarial Science, Computer Science, or Quantitative Economics.
  • 3+ years of industry experience in machine learning or data science with 1+ year focused on GenAI.
  • Strong programming skills in Python, R, SAS/SQL and understanding of GenAI concepts like prompt engineering, RAG, LLM evaluation.
  • Experience with GenAI tools such as Vertex AI, LangChain/LangGraph, HuggingFace, OpenAI APIs.
  • Proven ability to act independently, meet deadlines, and adapt to shifting priorities in a proactive manner.
  • Strong analytical skills, commitment to continuous learning, and innovative thinking.

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