Senior Analyst, Model Risk & AI, Data Science, Actuarial Model Validation

Job not on LinkedIn

🔥 0 minutes ago

🦌 Connecticut – Remote

🦌 Connecticut – Remote

💵 $108k - $162k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 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 of critical models used across The Hartford’s functional areas and lines of business • Ensure model calculations are accurate and appropriate for intended use • Assess key data inputs and assumptions for accuracy and appropriateness • Review model outputs for accuracy and appropriate downstream usage • Deliver effective challenge to modeling inputs, calculations, outputs, conceptual soundness, monitoring and controls, and documentation • Identify findings and recommendations to mitigate model risk • Compile clear, concise, and well-structured model validation reports • Perform in-depth assessments of model risk • Manage governance accountabilities related to findings tracking, remediation testing, and validation • Strengthen partnerships with Data Science and Actuarial teams • Educate stakeholders on modeling best practices and promote model risk awareness • Support maintenance of the enterprise model risk management framework, including policies, standards, procedures, and governance processes • Monitor the external environment, implement best practices, recommend process improvements, and evolve standards and guidelines

🎯 Requirements

• Advanced degree in Statistics, Applied Mathematics, Actuarial Science, Computational Science, Quantitative Economics, Engineering, or similar applied analytical field • 5+ years of P&C, Group, Life or related insurance product experience • ACAS/ASA or FCAS/FSA designation and/or CFA preferred • Familiarity with Excel/VBA, R, Python, SAS/SQL, C++, and Java • Practical experience with predictive modeling / data science techniques preferred • Project management skills an important plus • Familiarity with Supervisory Guidance on Model Risk Management (SR 11-7/ SR 26-2, PRA SS1/23) viewed as favorable • 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 challenging the status quo • Excellent communication and collaboration skills, including explaining complex technical concepts to non-technical stakeholders

🏖️ Benefits

• Short-term or annual bonuses • Long-term incentives • On-the-spot recognition • Hybrid or 100% remote work arrangement