Location Designation: Hybrid - 3 days per week

• Apply your communications skills, working closely with both technical partners and business stakeholders to ensure proper modeling processes are followed during the model development stage.

• Help design robust ongoing monitoring plans for both structured and unstructured data use cases, while helping to automate the monitoring process.

• Methodology review and challenge: Review model design and selection, data pipelines, features, and evaluation metrics.

• Parallel validation of traditional and AI models: Effectively challenge model developers on their decisions. Explore and compare alternative methods, replicate key results, build challenger models when appropriate, and assess business impact and risk.

• Documentation & reporting: Write rigorous validation reports and create plain‑language executive summaries that break down complex problems into easy‑to‑understand narratives and visuals.

• Risk & controls translation: Read and interpret technical regulatory documents and procedures. Capture key requirements and translate them into validation checklists, standard operating procedures, and control evidence.

• Post‑deployment monitoring: Define success criteria for drift, bias/fairness, stability, hallucinations focusing on business KPIs, and partner with teams to operationalize alerts.

• Standards & enablement: Contribute to common templates, playbooks, guidelines and reusable test harnesses for predictive, generative, and agentic AI use cases; share best practices across data science, engineering, and product teams.

• Stay up-to-date on statistical/ML/AI trends and research.

• Education: Advanced degree in Statistics, Computer Science, Data Science, Mathematics, Economics, Engineering or a related quantitative field with a sound knowledge of statistics.

• Experience: 4+ years in model validation, model governance, or model risk management for predictive and AI/ML models within regulated environments.

• Technical skills: Hands‑on experience with and theoretical understanding of statistical modeling and ML (e.g., linear/logistic regression, survival analysis, GLM, GBM/XGBoost, GAMs, neural nets, feature engineering/selection, etc).

• Programming: Proficiency in Python and SQL

• Strong communication skills and a collaborative mindset

• Attention to detail: Demonstrated ability to read technical regulatory documents and procedures and accurately capture key requirements, constraints, and obligations.

• Proactive mindset and commitment to continuous learning

• Experience evaluating Generative AI systems (e.g., prompting strategies, RAG evaluation).

• Knowledge of stress testing, model interpretability, privacy and security considerations for AI systems.

• Conceptual understanding of Reinforcement Learning

• Experience collaborating with cross‑functional review bodies (e.g., Legal, Compliance, Cybersecurity) and translating governance requirements into practical evidence and controls.

• Applied AI literacy: Sound conceptual and practical understanding of common AI use cases across financial/insurance industries (e.g., underwriting support, claims triage, fraud detection, marketing and sales enablement, agent productivity, customer service), including strengths, limitations, and failure modes.

Pay Transparency

Salary Range: $124,000-$177,000

Overtime eligible: Exempt

Discretionary bonus eligible: Yes

Sales bonus eligible: No

Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

Our Benefits

We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.

Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life’s leadership in this space.

Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.

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Job Requisition ID: 93352