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

This is a fully remote position, open to applicants in Connecticut.

📋 Description

• Conduct validations of essential models utilized across The Hartford’s various functional areas and business lines.

• Ensure that model calculations are precise and suitable for their intended applications.

• Evaluate key data inputs and assumptions for their accuracy and relevance.

• Analyze model outputs for precision and appropriate downstream application.

• Provide constructive challenge to modeling inputs, calculations, outputs, conceptual integrity, monitoring and controls, and documentation practices.

• Identify issues and propose recommendations to minimize model risk.

• Prepare clear, concise, and well-organized model validation reports.

• Conduct thorough assessments of model risk.

• Oversee governance responsibilities related to tracking findings, conducting remediation testing, and validation processes.

• Enhance collaborations with Data Science and Actuarial teams.

• Educate stakeholders on best practices in modeling and promote awareness of model risk.

• Assist in the upkeep of the enterprise model risk management framework, including policies, standards, procedures, and governance protocols.

• Monitor external developments, implement best practices, suggest process enhancements, and update standards and guidelines.

⛳️ Requirements

• Advanced degree in Statistics, Applied Mathematics, Actuarial Science, Computational Science, Quantitative Economics, Engineering, or a similar analytical field.

• Over 5 years of experience in Property & Casualty (P&C), Group, Life, or related insurance products.

• Preferably holds ACAS/ASA or FCAS/FSA designation and/or CFA.

• Proficient in Excel/VBA, R, Python, SAS/SQL, C++, and Java.

• Practical experience with predictive modeling and data science techniques is preferred.

• Project management expertise is a valuable asset.

• Familiarity with Supervisory Guidance on Model Risk Management (SR 11-7/ SR 26-2, PRA SS1/23) is considered advantageous.

• Demonstrated ability to work independently with proactive self-management and meet deadlines while adjusting to changing priorities.

• Strong analytical, critical, and investigative thinking capabilities.

• Committed to ongoing learning and continuous improvement in evolving modeling techniques and AI advancements.

• Innovative, solution-oriented mindset with a willingness to challenge conventional approaches.

• Exceptional communication and teamwork skills, including the ability to convey complex technical concepts to non-technical stakeholders.

🏝️ Benefits

• Short-term or annual bonuses.

• Long-term incentives.

• On-the-spot recognition.

• Hybrid or fully remote work options.