Associate Actuary
Prudential FinancialAbout the role
Job Classification:
Actuarial - ActuarialPrudential Financial Inc. has been a leader in the life insurance and asset management industry for over 140 years, helping individual and institutional customers grow and protect their wealth. The company operates globally, with a presence in the United States, Asia, and Latin America.
PyVal+ is looking to fill an Associate Actuary - ALM Modeling position in Actuarial Modeling. The primary focus of this role is on End-to-End Asset Liability Management (ALM) capabilities within the Finance and Actuarial Organization. This associate will support transformation projects and manage the upstream and downstream infrastructure for enterprise-level use-cases like PBR, AAT, and long-term assumptions. The associate will engage and drive impacts for all the insurance businesses of Prudential Financial.
The current employee work arrangement for this position is Hybrid and requires your on-site presence on a reoccurring basis as determined by your business. The primary location for the position is in the Newark, NJ, or Hartford, CT office, but remote work is also an option. Your manager will provide additional details relative to the specific number of days you are expected to be on-site.
What you can expect:
Develop and maintain automated production processes to enhance efficiency and accuracy in ALM modeling and enterprise long-term assumptions.
Collaborate with business partners throughout the Prudential organization to develop and maintain highly automated production processes to enhance efficiency and accuracy in ALM modeling.
Serve as a key resource in implementing and validating ALM modeling infrastructure changes in support of Asset Adequacy Testing (AAT), capital, PBR, GAAP assumptions, economic scenarios, and other ALM-related purposes. This mainly involves developing in-house solutions based on Python and SQL.
Collaborate with business partners throughout the Prudential organization to ensure adherence to corporate governance, controls, and documentation policies/procedures.
What you’ll need:
3+ years of actuarial, ALM, and/or modeling experience, preferably in an insurance company context.
Bachelor's degree in Actuarial Science, Mathematics, Quantitative Finance, or a related field.
Strong technical skills with programming experience in VBA, Python, and SQL (C# is a plus).
Ability to prioritize, plan, and execute across multiple work efforts simultaneously to meet competing deadlines for AAT, PBR, and GAAP reporting and drive new solutions.
Quantitative and analytics skills, including the ability to understand concepts and assess situations in a timely manner.
Strong verbal and written communication skills, particularly in explaining technical challenges and writing documentation.
It’d be a plus if you had:
Progression toward actuarial credentials such as ASA or FSA
Experience with asset and reinvestment modeling
What we offer you:
Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $118,700.00 to $176,600.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills.Market competitive base salaries, with a yearly bonus potential at every level.
Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave.
401(k) plan with company match (up to 4%).
Company-funded pension plan.
Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.
Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
Employee Stock Purchase Plan: <
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