Actuarial and Data Science Model Validation

The Hartford

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Hartford, CT
Employment
Full-time
Posted
124 days ago
Freshness
Confirmed live today

Market check

Salary context

How this pay compares to similar roles

Similar $194k
$139k $241k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $156,875–$231,575.

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 70 open roles on FindRole.

Listed pay typically runs $127,600–$191,400 across 29 roles with salary data.

Most-posted roles

View all roles at The Hartford

At a glance

TL;DR · Actuarial and Data Science Model Validation

The Actuarial and Data Science Model Validation role sits within the Model Risk Management team. This position involves leading efforts to ensure the integrity, accuracy, and compliance of AI and Generative AI models used across the enterprise. The primary responsibilities include independently reviewing, challenging, and validating models to meet internal standards, regulatory expectations, and ethical AI principles. Day-to-day tasks involve designing challenger solutions for summarization and question answering, assessing prompt engineering, and reviewing model outputs for downstream usage. The role requires proficiency in Python, R, SAS/SQL, and tools such as VertexAI, LangChain, LangGraph, RAG frameworks, HuggingFace, and OpenAI APIs. The work focuses on mitigating model risk by validating machine learning algorithms and traditional actuarial models within various functional areas and lines of business.

What you'll do

  • Validate AI and Generative AI models to ensure accuracy, reliability, and compliance with internal standards.
  • Design and build challenger solutions for tasks like summarization, question answering, and data synthesis.
  • Assess data inputs, machine learning algorithms, prompt engineering, and context engineering for appropriateness.
  • Review model outputs for accuracy and evaluate quantitative and qualitative testing techniques.
  • Identify model risk findings and provide recommendations for remediation and impact analysis.
  • Compile clear and concise model validation reports for key internal stakeholders.
  • Enhance the GenAI model validation framework by developing standardized evaluation metrics and tools.
  • Perform governance accountabilities including findings tracking and remediation testing.

What we're looking for

  • Hold an advanced degree (M.S. or Ph.D.) in a relevant field such as AI, Machine Learning, Statistics, or Computer Science.
  • Have 3+ years of industry experience in machine learning or data science.
  • Have 1+ years of experience specifically focused on Generative AI.
  • Possess strong programming experience across Python, R, and SAS/SQL.
  • Demonstrate a solid understanding of GenAI concepts including RAG, prompt engineering, and LLM evaluation.
  • Have experience with tools such as Vertex AI, LangChain, HuggingFace, or OpenAI APIs.
  • Possess excellent communication skills to explain complex technical concepts to non-technical stakeholders.
  • Experience in P&C, Group, Life, or related insurance products (preferred).

More like this

Similar roles

Senior Analyst Model Risk & AI, Gen AI Model Validation

The Hartford

Hartford, CT 20 days ago $108,000–$162,000
Generative AI Agentic AI Python SQL Git RAG LangChain LangGraph Vertex AI Google Agent Development Kit HuggingFace OpenAI APIs AWS/SageMaker Machine Learning Statistical Evaluation Prompt Engineering Context Engineering Model Risk Management LLM Evaluation
3+ yrs exp Hybrid

Vice President, Risk, AI Model Validation

Goldman Sachs

New York, NY 119 days ago
Python TensorFlow PyTorch NumPy Pandas Machine Learning Statistical Modelling AI Models Data Science Algorithmic Robustness Benchmarking
5+ yrs exp

Senior Manager, Data Science, Model Risk Office

Capital One Financial

McLean, VA +2 174 days ago $209,000–$238,500
Python Scala R PyTorch Hugging Face LangChain Vector Databases LLMOps AWS Relational Databases Machine Learning Deep Learning Statistics Time Series Sentiment Analysis Clustering Classification Observability Platforms
7+ yrs exp

Quantitative Model Validation Analyst

US Bank

Chicago, IL +2 7 days ago $111,095–$130,700
Python SAS R Econometric Modeling Time-Series Analysis Macroeconomic Forecasting Stress Testing CCAR CECL Back-testing Sensitivity Analysis Model Risk Management
5+ yrs exp Hybrid