Senior Analyst, Model Risk & AI – Gen AI Model Validation

Job not on LinkedIn

🔥 0 minutes ago

🦌 Connecticut – Remote

🦌 Connecticut – Remote

💵 $108k - $162k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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The Hartford

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1810

🛡️ Insurance

💸 Finance

👥 B2C

Insurance • Finance • B2C

The Hartford is a well-established insurance company offering a variety of products including auto, home, and business insurance. With over 200 years of experience, it caters to both individuals and small to midsize businesses, providing tailored insurance solutions and employee benefits. The company is particularly known for its AARP-endorsed auto and home insurance programs, which offer exclusive benefits and discounts for members.

📋 Description

• Perform model validations on GenAI and agentic AI use cases across functional areas and lines of business • Ensure model calculations, algorithms, and methods are accurate and appropriate for intended use • Design and build challenger solutions and testing methods for summarization, question answering, search, data synthesis, LLM-as-a-judge, and related tasks • Review quantitative and qualitative testing techniques for model accuracy, robustness, and reliability • Assess data inputs, assumptions, prompt engineering, and context engineering • Design and execute testing approaches for non-deterministic AI systems, including variability analysis, confidence intervals, and statistical evaluation methodologies • Challenge modeling elements including inputs, calculations, outputs, conceptual soundness, monitoring and controls, and documentation • Identify findings and recommendations, perform impact analysis, and compile model validation reports • Perform governance accountabilities related to findings tracking, remediation testing, and validation • Enhance the GenAI model validation framework with standardized evaluation metrics and validation tools • Partner with Data Science teams to align model risk practices with evolving modeling capabilities and promote proactive risk management • Stay informed about AI/ML, GenAI, agentic systems, regulatory expectations, and department initiatives • Assist with evaluating and testing tools including VertexAI/Google ADK, LangChain/LangGraph, RAG frameworks, HuggingFace, and OpenAI APIs • Assess solution alignment with AI Governance standards, Model Risk Management policies, and emerging regulatory expectations

🎯 Requirements

• Advanced degree (M.S. or Ph.D.) in a relevant field such as Artificial Intelligence, Machine Learning, 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+ years focused on GenAI and/or agentic AI • P&C, Group, Life, or related insurance product experience is a plus • Strong programming and technology experience with Python, SQL, and Git • Solid understanding of GenAI concepts, including prompt and context engineering, retrieval-augmented generation (RAG), LLM internals, LLM evaluations, and multi-agent systems • Experience with modern cloud and AI tools such as GCP/Vertex AI, Google uAgent Development Kit (ADK), AWS/SageMaker, LangChain/LangGraph, HuggingFace, and OpenAI APIs • Ability to act independently with proactive self-directed accountability and meet deadlines while adapting to shifting priorities • Strong analytical, critical, and investigative thinking skills • Commitment to lifelong learning and continuous development in evolving modeling techniques and AI technologies • Solution-oriented creativity, innovative thinking, and willingness to challenge the status quo • Excellent communication and collaboration skills, including ability to explain complex technical concepts to non-technical stakeholders

🏖️ Benefits

• Short-term or annual bonuses • Long-term incentives • On-the-spot recognition • Perks & Benefits (details not specified)