Director, Actuary (Group Advanced Analytics)

pru; Newark (NJ); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Prudential is seeking a Director, Actuary - Group Advanced Analytics to provide actuarial leadership for AI-enabled disability claims intelligence across the LTD and STD lifecycles. You will ensure model outputs are actuarially sound, explainable, and aligned with claims management, loss ratios, and reserves.

The role requires 7+ years of actuarial experience in disability analytics, SOA designation, and strong communication. Hybrid/remote work is available with on-site requirements as needed.

Qualifications

• Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related field.
• 7+ years of actuarial experience in group disability, claims analytics, pricing, valuation, reserving, or financial performance management.
• Associate or Fellow of the Society of Actuaries designation.
• Strong analytical, quantitative, and problem-solving skills.
• Experience analyzing LTD and/or STD disability claim experience and translating claim-level patterns into actionable business, financial, and operational insight.
• Understanding of predictive modeling concepts, model validation, calibration, performance monitoring, and practical considerations for applying analytics in claim management workflows.

Responsibilities

• Provide actuarial leadership for claims risk management model design across LTD and STD use cases.
• Translate disability claims experience into actuarial measures and business metrics for model performance and financial impact.
• Partner with data science, claims, technology, finance, and vendors to ensure model insights are explainable and embedded in workflows.
• Support model governance, validation standards, monitoring routines, and documentation of model stability and bias.
• Develop reporting frameworks linking model outputs to loss ratio trends, reserve implications, and claim performance indicators.
• Serve as a senior actuarial SME for model pilots and deployment, communicating recommendations to leadership.

Skills

Actuarial leadership

Strong communication

Disability claims analytics

Model governance

Education

Bachelor's degree in Actuarial Science/Math/Statistics

SOA Associate or Fellow designation

Tools

Excel

SQL

R

Python

Power BI

Job description

Job Classification: Actuarial - Actuarial

At Prudential, we believe talent is key to achieving our vision. When you join Prudential, you'll unlock a motivating and impactful career - all while growing your skills and advancing your profession at one of the world's leading financial services institutions!

The Director, Actuary - Group Advanced Analytics role is a senior individual contributor position providing dedicated actuarial leadership for Prudential's internally owned AI-enabled disability claims assistant. This role will help design, validate, calibrate, monitor, and interpret claims intelligence models across the LTD and STD claim lifecycle, ensuring model outputs are actuarially sound, operationally explainable, and aligned with claims management, loss ratio, reserving, and broader business objectives. The position requires strong actuarial judgment, disability claims expertise, advanced analytical capability, model governance discipline, and the ability to translate complex claim-level insights into practical business action.

The current employee work arrangement for this position is hybrid or virtual and may require your on-site presence on a reoccurring basis as determined by your business, dependent on the candidate's location. Your manager will provide additional details relative to the specific number of days you are expected to be on-site.

What you can expect:

• Provide actuarial leadership for claims risk management model design, including claim outcome definition, target variable selection, segmentation, calibration, and validation across LTD and STD claim use cases.
• Translate disability claims experience into actuarial measures and business metrics that can be used to evaluate model performance, claim outcomes, financial impact, and intervention effectiveness.
• Partner with data science, claims, technology, finance, and vendor resources to ensure model insights are explainable, operationally relevant, and embedded into claims management workflows.
• Support model governance, including validation standards, monitoring routines, performance thresholds, documentation, and ongoing assessment of model stability, bias, drift, and business usefulness.
• Develop reporting and interpretation frameworks that connect model outputs to loss ratio trends, reserve implications, claim duration, return-to-work outcomes, transition risk, and other disability claim performance indicators.
• Serve as a senior actuarial subject matter expert for model pilots and deployment, helping claims leaders understand model recommendations, expected value, limitations, and appropriate use in decision processes.

What you'll need:

• Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
• 7+ years of actuarial experience, preferably with meaningful exposure to group disability, claims analytics, pricing, valuation, reserving, or financial performance management.
• Associate or Fellow of the Society of Actuaries designation.
• Strong analytical, quantitative, and problem-solving skills.
• Experience analyzing LTD and/or STD disability claim experience and translating claim-level patterns into actionable business, financial, and operational insight.
• Understanding of predictive modeling concepts, model validation, calibration, performance monitoring, and practical considerations for applying analytics in claim management workflows.
• Ability to work across actuarial, claims, data science, technology, finance, and vendor teams to move from analysis to practical implementation.
• Strong communication skills, with the ability to explain complex actuarial and model concepts, assumptions, limitations, and business implications to technical and non-technical audiences.

It'd be a plus if you had:

• Experience with AI/ML, predictive analytics, statistical modeling, claims risk scoring, intervention targeting, or model governance in an insurance or financial services environment.
• Proficiency in tools such as Excel, SQL, R, Python, Power BI, or other analytical tools used for claim-level data analysis, model performance reporting, and business insight development.
• Experience presenting model performance, financial impact, governance findings, and recommendations to claims, actuarial, finance, technology, or senior business leaders.

Prudential welcomes all applicants, even if you don't meet every requirement.

At Prudential, you can:

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