Risk Modeling Services P&C - Manager

PwC; Philadelphia (Philadelphia County); Sur place; USD 99 000 - 252 000; Plein temps

Résumé du poste

PwC in the United States seeks a Risk Modeling Services P&C Manager to lead actuarial and risk modeling work that assesses financial risk through statistical modeling and data analysis. You will guide teams, coach staff, manage workstreams, and contribute to deliverables and client conversations within Assurance.

You will oversee model development and review, support timelines, and apply digital tooling to improve delivery and risk insights for insurance clients.

Qualifications

• Bachelor's degree in actuarial science, mathematics, statistics, economics, or related fields.
• At least 4 years of experience.
• Fellow of Society of Actuaries or equivalent (certification may be waived with more experience).

Responsabilités

• Leading property and casualty risk modeling workstreams for insurance clients by reviewing actuarial assumptions, model structure, and deliverable timelines.
• Developing and interpreting financial risk models using statistical analysis software and actuarial methods.
• Coaching analysts and senior associates on modeling techniques and risk analysis.
• Reviewing analyses and deliverables for accuracy and alignment with client objectives.
• Managing project plans, budgets, and milestones across multiple engagements.

Connaissances

Risk modeling

Data analysis

Leadership

Mentoring

Formation

Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, Applied Mathematics

Outils

Statistical software

Description du poste

The Opportunity

As a Risk Modeling Services P&C Manager you will lead actuarial and risk modeling work that helps clients assess financial risk through statistical modeling, data analysis, and clear recommendations. As a Manager you will guide teams, coach junior staff, manage workstreams, and bring structure to complex assignments while using technology, business knowledge, and sound judgment to support client needs within our Assurance practice. In this role at PwC, you will oversee model development and review, help align deliverables to timelines, support client conversations, and contribute to work that helps organizations navigate regulatory and risk challenges.

Responsibilities

• Leading property and casualty risk modeling workstreams for insurance clients by reviewing actuarial assumptions, model structure, and deliverable timelines
• Developing and interpreting financial risk models using statistical analysis software, actuarial science methods, and complex data analysis
• Guiding team members through model implementation, validation activities, and documentation for pricing, reserving, and capital analysis
• Reviewing analyses and deliverables for accuracy, consistency, and alignment with client objectives and technical guidance
• Managing project plans, budgets, and milestone tracking across multiple engagements while addressing scope changes and issue resolution
• Coaching analysts and senior associates on statistical modeling, financial modeling, and risk analysis techniques
• Communicating model findings, assumptions, and limitations to client stakeholders through presentations and written reports
• Identifying opportunities to improve modeling methods, automate repeatable tasks, and apply digital tooling to enhance delivery

What You Must Have

• At least a Bachelor's degree in one of the following fields of study: Actuarial Science, Mathematics, Statistics, Economics, Applied Mathematics, Mathematical Statistics
• At least 4 years of experience
• At least one of the following: Fellow of Society of Actuaries or equivalent, certification requirement may be waived if the selected individual has more experience in the relevant field

What Sets You Apart

• Experience in property and casualty risk modeling
• Background in model validation or model development
• Applying actuarial methods to insurance risk analyses
• Managing project timelines, budgets, and deliverables
• Mentoring teams and reviewing work for learning
• Using statistical software and digital tools

The salary range for this position is: $99,000 - $252,450. For residents of Washington state the salary range for this position is: $99,000 - $297,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.