Associate Actuary

Associate Actuary – ALM Modeling

This role focuses on End-to-End Asset Liability Management (ALM) capabilities within Prudential’s Finance and Actuarial organization, supporting transformation projects and managing upstream/downstream infrastructure for enterprise-level use cases such as P , AAT, and long-term assumptions.

• Develop and maintain automated production processes to enhance efficiency and accuracy in ALM modeling and enterprise long-term assumptions.
• Implement and validate ALM modeling infrastructure changes for Asset Adequacy Testing (AAT), capital, P , GAAP assumptions, economic scenarios, and other ALM purposes, primarily using Python and SQL.
• Collaborate with business partners throughout Prudential to ensure adherence to corporate governance, controls, and documentation policies and procedures.
• Prioritize, plan, and execute multiple work efforts simultaneously to meet competing deadlines for AAT, P , and GAAP reporting.

• 3+ years of actuarial, ALM, and/or modeling experience, preferably in an insurance company context.
• Strong programming skills in Python, VBA, and SQL (C# is a plus).
• Ability to analyze quantitative data and assess situations promptly.
• Excellent verbal and written communication skills.
• Bachelor’s degree in Actuarial Science, Mathematics, Quantitative Finance, or a related field.
• Progression toward actuarial credentials such as ASA or FSA.
• Preferred:
  Experience with asset and reinvestment modeling.

Salary range: $ – $. Base salary plus potential yearly bonus at every level. Comprehensive benefits include medical, dental, vision, life and disability insurance, paid time off, leave for parental and military service, 401(k) plan with up to 4% company match, company‑funded pension plan, wellness program reimbursement up to $1,600 per year, and other employee development resources.

Hybrid in Newark, NJ, or Hartford, CT, with remote work options available.

Prudential is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition, or any other characteristic protected by law.