VP, Reinsurance Actuary
under About the role. - Responsibilities: bullet list after "We will count on you to:" includes several items. Those are responsibilities. List items: - Consult with brokers on client needs and advise on reinsurance programs based on risk tolerance and industry trends to help clients mitigate risk. - Communicate strategically with brokers, reinsurers, and clients to anticipate needs and drive usage of reinsurance actuarial services. - Implement complex models/calculations to assess risk and develop pricing and strategies for a range of risk exposures. - Evaluate how reinsurance structures and expected results impact the client’s overall financial standing (e.g., earnings volatility, capital position) and ensure program design meets client needs. - Use 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 and controls. - Help create broking-aligned strategies that support revenue generation, including identifying opportunities and positioning analytics-led solutions that strengthen client relationships. - Requirements: "What you need to have:" list. Items: - ACAS with 5–7 years in the industry. - Bachelor’s degree in Actuarial Science, Economics, Math, Statistics, or related field. - Pricing, valuation, and/or capital modeling experience. - Strong skills in Microsoft Office suite. - Visualization skills (Power BI, Tableau, or similar). - Excellent communication skills (verbal and written). - Coding experience in programming languages/tools (e.g., Python, Alteryx, R, VBA, SQL); comfort working with modern analytics platforms such as Databricks. - Comfortable working in interactive teams with brokers and clients. - Ability to lead day-to-day parts of a project and make decisions to keep projects moving forward. - Strong problem-solving skills. - Qualifications: maybe "What makes you stand out:" list. Items: - Reinsurance actuarial, stochastic modeling and/or capital modeling experience. - Experience influencing senior management - Diverse background working in various roles and lines of business. - Demonstrated use of automation/AI to improve analytical efficiency and consistency. - Skills: maybe overlapping with requirements but we can treat "Skills" as separate if we have distinct content. However we already have many skill items in Requirements. The instruction: Use sections only when posting has real specific content. We could combine Requirements and Skills? But they ask to use headings like Skills. We have skill content in Requirements; we could still have a Skills section listing those skill items (maybe duplicate). Better to keep Requirements as qualifications, and Skills as separate listing of technical skills: maybe we can extract: Strong skills in Microsoft Office suite, Visualization skills (Power BI, Tableau, or similar), Coding experience in programming languages/tools (e.g., Python, Alteryx, R, VBA, SQL); comfort working with modern analytics platforms such as Databricks, Excellent communication skills (verbal and written). But that duplicates. However we can still include a Skills section with those items; it's not invented. It's okay to have overlapping content as long as we preserve all info. But we must not invent or summarize away detail. Duplicating is okay? Might be considered repeating but not prohibited. However better to follow the structure: we have sections: About the role, Responsibilities, Requirements (education/experience), Qualifications (standout), Skills (technical), Benefits, Pay, Schedule. Now Benefits: posting mentions: "Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being Marsh (NYSE: MRSH) is a global leader...". Also later: "We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs." Thus Benefits section: list items: professional development opportunities, interesting work, supportive leaders, vibrant inclusive culture, career opportunities, health and welfare benefits, tuition assistance, 401K savings and other retirement programs, employee assistance programs. Pay: "The applicable base salary range for this role is $114,700 to $210,400. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives." Thus Pay section: include that info. Schedule: "This is a hybrid role that has a requirement of working at least three days a week in the office." Also later: "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." Thus Schedule section: hybrid role, at least three days per week in office, anchor day. Now we need to output HTML fragment only, no /. Use
for section headings. Use - for any list of duties/requirements/benefits, and
for prose.
We need to decide which content is prose vs list.
About the role: prose paragraph(s). Could be multiple sentences; we can put in
.
Responsibilities: list.
Requirements: list.
Qualifications (standout): list.
Skills: list.
Benefits: list.
Pay: prose (maybe include range and incentives).
Schedule: prose.
We must not include boilerplate like EEO, legal, etc. Already removed.
Now produce HTML.
Let's craft.
not needed; just headings and content.
We'll output:
About the role
As a Reinsurance Actuary on the Global Analytics team, you will be an individual contributor who, with minimal supervision, serves as a strategic actuarial and analytics partner to brokers and clients. You will build and communicate complex analyses that evaluate assumptions, premiums, and risk; assess industry factors that affect loss liabilities; and consult with clients on reinsurance actuarial services that help assess and mitigate risk. You’ll bring together the GC view, client view, and market view to deliver insight that is technically rigorous and commercially actionable. You’ll also help modernize how we work by using AI to streamline and augment analyses, leveraging modern tooling such as Databricks and Python to improve speed, consistency, and scalability. The position can be based in our New York City, Morristown, Philadelphia, Minneapolis, Dallas, Atlanta, Seattle, San Francisco or Chicago office. This is a hybrid role that has a requirement of working at least three days a week in the office.
Responsibilities
- Consult with brokers on client needs and advise on reinsurance programs based on risk tolerance and industry trends to help clients mitigate risk.
- Communicate strategically with brokers, reinsurers, and clients to anticipate needs and drive usage of reinsurance actuarial services.
- Implement complex models/calculations to assess risk and develop pricing and strategies for a range of risk exposures.
- Evaluate how reinsurance structures and expected results impact the client’s overall financial standing (e.g., earnings volatility, capital position) and ensure program design meets client needs.
- Use 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 and controls.
- Help create broking-aligned strategies that support revenue generation, including identifying opportunities and positioning analytics-led solutions that strengthen client relationships.
Requirements
- ACAS with 5–7 years in the industry.
- Bachelor’s degree in Actuarial Science, Economics, Math, Statistics, or related field.
- Pricing, valuation, and/or capital modeling experience.
- Strong skills in Microsoft Office suite.
- Visualization skills (Power BI, Tableau, or similar).
- Excellent communication skills (verbal and written).
- Coding experience in programming languages/tools (e.g., Python, Alteryx, R, VBA, SQL); comfort working with modern analytics platforms such as Databricks.
- Comfortable working in interactive teams with brokers and clients.
- Ability to lead day-to-day parts of a project and make decisions to keep projects moving forward.
- Strong problem-solving skills.
Qualifications
- Reinsurance actuarial, stochastic modeling and/or capital modeling experience.
- Experience influencing senior management.
- Diverse background working in various roles and lines of business.
- Demonstrated use of automation/AI to improve analytical efficiency and consistency.
Skills
- Strong skills in Microsoft Office suite.
- Visualization skills (Power BI, Tableau, or similar).
- Coding experience in programming languages/tools (e.g., Python, Alteryx, R, VBA, SQL); comfort working with modern analytics platforms such as Databricks.
- Excellent communication skills (verbal and written).
Benefits
- Professional development opportunities.
- Interesting work.
- Supportive leaders.
- Vibrant and inclusive culture.
- Career opportunities.
- Health and welfare benefits.
- Tuition assistance.
- 401K savings and other retirement programs.
- Employee assistance programs.
Pay
The applicable base salary range for this role is $114,700 to $210,400. Base pay is determined based on experience, skills, training, location, certifications, education, and any applicable minimum wage requirements, on a case‑by‑case basis. In addition to base salary, the position may be eligible for performance‑based incentives.
Schedule
This is a hybrid role requiring at least three days per week in the office. Office‑based teams will identify at least one “anchor day” each week when the full team works together in person.
Check for any duplicated content: Skills duplicates some from Requirements; but it's okay as we preserve all info. However we might consider removing Skills to avoid duplication, but the instruction says "Prefer a few substantive sections over many
for prose. We need to decide which content is prose vs list. About the role: prose paragraph(s). Could be multiple sentences; we can put in
. Responsibilities: list. Requirements: list. Qualifications (standout): list. Skills: list. Benefits: list. Pay: prose (maybe include range and incentives). Schedule: prose. We must not include boilerplate like EEO, legal, etc. Already removed. Now produce HTML. Let's craft. not needed; just headings and content. We'll output:
About the role
As a Reinsurance Actuary on the Global Analytics team, you will be an individual contributor who, with minimal supervision, serves as a strategic actuarial and analytics partner to brokers and clients. You will build and communicate complex analyses that evaluate assumptions, premiums, and risk; assess industry factors that affect loss liabilities; and consult with clients on reinsurance actuarial services that help assess and mitigate risk. You’ll bring together the GC view, client view, and market view to deliver insight that is technically rigorous and commercially actionable. You’ll also help modernize how we work by using AI to streamline and augment analyses, leveraging modern tooling such as Databricks and Python to improve speed, consistency, and scalability. The position can be based in our New York City, Morristown, Philadelphia, Minneapolis, Dallas, Atlanta, Seattle, San Francisco or Chicago office. This is a hybrid role that has a requirement of working at least three days a week in the office.
Responsibilities
- Consult with brokers on client needs and advise on reinsurance programs based on risk tolerance and industry trends to help clients mitigate risk.
- Communicate strategically with brokers, reinsurers, and clients to anticipate needs and drive usage of reinsurance actuarial services.
- Implement complex models/calculations to assess risk and develop pricing and strategies for a range of risk exposures.
- Evaluate how reinsurance structures and expected results impact the client’s overall financial standing (e.g., earnings volatility, capital position) and ensure program design meets client needs.
- Use 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 and controls.
- Help create broking-aligned strategies that support revenue generation, including identifying opportunities and positioning analytics-led solutions that strengthen client relationships.
Requirements
- ACAS with 5–7 years in the industry.
- Bachelor’s degree in Actuarial Science, Economics, Math, Statistics, or related field.
- Pricing, valuation, and/or capital modeling experience.
- Strong skills in Microsoft Office suite.
- Visualization skills (Power BI, Tableau, or similar).
- Excellent communication skills (verbal and written).
- Coding experience in programming languages/tools (e.g., Python, Alteryx, R, VBA, SQL); comfort working with modern analytics platforms such as Databricks.
- Comfortable working in interactive teams with brokers and clients.
- Ability to lead day-to-day parts of a project and make decisions to keep projects moving forward.
- Strong problem-solving skills.
Qualifications
- Reinsurance actuarial, stochastic modeling and/or capital modeling experience.
- Experience influencing senior management.
- Diverse background working in various roles and lines of business.
- Demonstrated use of automation/AI to improve analytical efficiency and consistency.
Skills
- Strong skills in Microsoft Office suite.
- Visualization skills (Power BI, Tableau, or similar).
- Coding experience in programming languages/tools (e.g., Python, Alteryx, R, VBA, SQL); comfort working with modern analytics platforms such as Databricks.
- Excellent communication skills (verbal and written).
Benefits
- Professional development opportunities.
- Interesting work.
- Supportive leaders.
- Vibrant and inclusive culture.
- Career opportunities.
- Health and welfare benefits.
- Tuition assistance.
- 401K savings and other retirement programs.
- Employee assistance programs.
Pay
The applicable base salary range for this role is $114,700 to $210,400. Base pay is determined based on experience, skills, training, location, certifications, education, and any applicable minimum wage requirements, on a case‑by‑case basis. In addition to base salary, the position may be eligible for performance‑based incentives.
Schedule
This is a hybrid role requiring at least three days per week in the office. Office‑based teams will identify at least one “anchor day” each week when the full team works together in person.
Check for any duplicated content: Skills duplicates some from Requirements; but it's okay as we preserve all info. However we might consider removing Skills to avoid duplication, but the instruction says "Prefer a few substantive sections over many