Vice President, Reinsurance Actuary

PH015 Marsh Re Reinsurance Brokers Philippines, Inc.; Manila; Hybrid; PHP 3,500,000 - 5,200,000; Full time

Job summary

Guy Carpenter in Manila seeks a Vice President, Reinsurance Actuary to join the Global Analytics and Advisory team. Lead pricing, capital and catastrophe modeling, and analytics-driven client solutions the region-wide market.

The role embraces AI-enabled approaches, Databricks, and Python to accelerate insights, while mentoring junior colleagues in a hybrid office setting. Qualified actuaries with FCAS/FIA/FIAA or near-qualification and 7+ years in non-life reinsurance are encouraged to apply.

Qualifications

• Experience in property (re)insurance pricing, capital modeling, and/or catastrophe modeling.
• Minimum 7 years of experience in non-life (re)insurance.
• Excellent communication, presentation and project management skills.
• Strong ability to manage significant workflow and competing priorities.

Responsibilities

• Communicate strategically with brokers, reinsurers, and clients to deliver high-value actuarial support.
• Build and apply complex models to assess risk and develop pricing across exposures.
• Evaluate and design optimized reinsurance structures considering earnings volatility and capital position.
• Apply AI-enabled approaches to streamline repeatable work and maintain actuarial standards.
• Mentor and train junior colleagues.

Skills

Property (re)insurance pricing

Capital modeling

Catastrophe modeling

Python

Databricks

SQL

R

VBA

Education

Bachelor’s degree in Actuarial Science, Economics, Math, Statistics, or related field

FCAS/FIA/FIAA qualification (candidate)

Tools

Databricks

Python

SQL

R

VBA

Job description

Company: Guy Carpenter

Marsh Re (formerly known as Guy Carpenter) is seeking candidates for the following position based in the Manila office:

Vice President, Reinsurance Actuary

We are seeking a talented reinsurance actuary to join our Global Analytics and Advisory team in our Manila office to support our rapid growth in the Philippines and across the region. This role combines technical actuarial expertise, reinsurance strategy, and client-facing problem solving to help brokers and clients evaluate and optimize reinsurance solutions. This is a hybrid role requiring at least three days a week in the office.

What to expect

• Be a strategic partner with brokers and clients helping solve complex client problems.

• Help develop broking-aligned strategies that support revenue generation, including identifying opportunities and positioning analytics-led solutions that strengthen client relationships.

• Translate complex technical analysis and concepts into clear and practical insights for brokers and clients.

• Help modernize the way we work by applying AI and tools such as Databricks and Python to improve the speed, consistency, and scalability of analysis.

We will count on you to:

• Communicate strategically with brokers, reinsurers, and clients to anticipate needs and deliver high-value reinsurance actuarial support in a fast-pace environment.

• Build and apply complex models and analysis to assess risk and develop pricing and strategies across a range of exposures.

• Evaluate and design optimized reinsurance structures considering the impact on client’s earning volatility, capital position and broader financial objectives.

• Apply AI-enabled approaches to streamline and augment repeatable work (e.g., analysis setup, sensitivity testing, QA checks, documentation, and executive summaries) while maintaining actuarial standards, judgement and controls.

• Support broking-led revenue generation by identifying opportunities and helping position analytics-driven solutions that strengthen client relationship

• Mentor and train junior colleagues.

What you need to have:

• Experience in property (re)insurance pricing, capital modeling, and/or catastrophe modeling.

• Minimum 7 years of experience in non-life (re)insurance.

• Excellent communication, presentation and project management skills.

• Strong ability to manage significant workflow and competing priorities through efficient time management.

• Coding experience in tools and languages (e.g., Python, Alteryx, R, VBA, SQL); comfort working with modern analytics platforms such as Databricks.

• Qualified or near-qualified actuary (FCAS, FIA or FIAA).

• Bachelor’s degree in Actuarial Science, Economics, Math, Statistics, or related field.

Why join our team:

• Work on complex, high-impact reinsurance transactions across the region.

• Grow your career in a global organization with strong professional development, supportive leadership, and a collaborative, inclusive culture.

• Be part of a collaborative and inclusive culture where you can work with talented colleagues to develop new solutions for clients.

• Help shape the future of reinsurance analytics through modern tools, AI-enabled ways of working, and innovative problem-solving.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.