Head of Bermuda Risk Modeling

The Head of Bermuda Risk Modeling supports the Head of Asset Liability Management (ALM) Risk within Enterprise Risk Management, leading hands-on development of Bermuda Best Estimate Liability (BEL) and economic capital modeling capabilities. This role builds models from scratch to project annuity liability values and sensitivities across products and economic scenarios, assess Bermuda-related capital needs over near- and medium-term horizons, and inform capital planning, risk appetite, and strategic decisions.

The successful candidate has strong technical skills and the ability to translate complex analysis into clear, practical recommendations. This is a technical leadership role requiring direct ownership of model design, coding, testing, and implementation. This role serves as a recognized enterprise subject-matter expert on Bermuda liability and economic capital modeling, and its modeling conclusions and recommendations materially influence decisions across Risk and partner functions.

You are

·       A hands-on actuary who enjoys turning complex business questions into working models and is comfortable writing and reviewing code directly.

·       A technically rigorous problem solver who can work from a blank slate, select fit-for-purpose methodologies, and build scalable, transparent modeling solutions.

·       A collaborative partner who works effectively across actuarial, risk, finance, and investment disciplines and can constructively challenge assumptions and methods.

·       An accountable technical leader who balances analytical depth with practical delivery, explains uncertainty and tradeoffs clearly, and translates results into actionable recommendations.

·       A credible influencer who earns the trust of senior stakeholders and builds alignment across functions.

You have

Required:

·       8 years of relevant experience in life insurance or annuity actuarial modeling, liability valuation, economic capital, ALM, or a related discipline, with substantial hands-on model development experience.

·       Demonstrated ability to program and build actuarial or risk models from scratch, including designing model architecture, implementing projection and calculation logic, integrating data, testing results, and delivering maintainable production-ready solutions.

·       Proficiency in at least one general-purpose programming language, such as Python, C , or R, and experience with data querying and manipulation, automated testing, debugging, documentation, and version control.

·       A bachelor’s degree in actuarial science, mathematics, statistics, finance, or a related quantitative field is required.

Preferred:

·       Experience with Bermuda BEL valuation methodologies and the Bermuda capital framework is preferred, along with the ability to translate applicable requirements into model specifications and controls.

·       Knowledge of annuity products, cash-flow projection, liability valuation, policyholder behavior, asset-liability interactions, and stochastic modeling.

·       Associate of the Society of Actuaries (ASA) designation or Fellow of the Society of Actuaries (FSA) designation is strongly preferred.

You will

·       Serve as a recognized enterprise subject-matter expert on Bermuda liability and economic capital modeling.

·       Develop Bermuda Best Estimate Liability (BEL) modeling capabilities from the ground up, projecting liability values and sensitivities across products and economic scenarios to support a more complete view of Bermuda-related capital needs over near- and medium-term horizons.

·       Lead the development and enhancement of economic capital modeling, including risk aggregation, diversification, scenario design, methodology, governance, and integration of results into capital planning, risk appetite, and strategic decision-making.

·       Design and implement actuarial and risk models from scratch, including data pipelines, projection engines, calculation logic, and reporting tools.

·       Leverage approved AI tools to accelerate model prototyping, code development and review, test generation, and documentation, while retaining direct ownership of model methodology and implementation. Independently verify AI-assisted outputs, protect confidential data, and ensure models and code remain transparent, reproducible, and subject to appropriate testing, documentation, and version control.

·       Assess the effects of asset-liability interactions, policyholder behavior, product features, and modeling assumptions on BEL and economic capital, and explain the key drivers of results.

·       Partner with Actuarial, Finance, Investments, Treasury, Product, and business teams to obtain reliable data, align modeling assumptions, and translate liability and capital insights into practical recommendations on product design, asset strategy, reinsurance, and capital usage.

·       Present modeling results and recommendations to senior cross-functional stakeholders and build alignment so that modeling conclusions materially influence decisions across Risk and partner functions.

·       Establish robust model governance, including methodology and assumption documentation, data quality controls, testing, change management, and reproducibility; support independent validation and effective challenge, and communicate model limitations clearly.

Reporting Relationships

This position reports to the Head of Asset Liability Management (ALM) Risk within Enterprise Risk Management.

Location

The primary location for this position is the Hudson Yards NYC office. Work arrangement: Hybrid, 3 days in the office and 2 days working from home.

Travel

0% travel is required for this position.

Salary Range:

$155,340.00 - $255,210.00

The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

Our Promise

At Guardian, you’ll have the support and flexibility to achieve your professional and personal goals.  Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.

Inspire Well-Being

As part of Guardian’s Purpose – to inspire well-being – we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits .  Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.

Equal Employment Opportunity

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

Accommodations

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MyHR glic.com . Please note: this resource is for accommodation requests only. For all other inquires related to your application and careers at Guardian, refer to the Guardian Careers site.

Visa Sponsorship

Guardian Life is not currently or in the foreseeable future sponsoring employment-based visas (e.g., such as an H-1B). In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship/support now or at any time in the future.

Notice Regarding Guardian’s Use of Artificial Intelligence in Recruitment

As part of Guardian’s job application process, Guardian may use artificial intelligence tools (“AI Tools ) to automate the sorting and filtering of information provided by applicants as part of its preliminary screening. This preliminary screening may be used to help identify applicant materials and resumes relative to their indication that the applicant meets the requirements for the specific job for which they are applying, as specified in the listing posted on Guardian’s jobs website (Careers at Guardian at https://www.guardianlife.com/careers ). At Guardian, we do not use AI Tools to substantially assist or replace human judgment or discretionary decision making in our hiring process. All hiring decisions will be made by Guardian colleagues.

Please be aware that if you apply for a specific position with Guardian, you will have the choice of opting out of Guardian’s use of AI Tools during the job application process. If you would like to request an alternative process that does not utilize AI Tools or would like to request a reasonable accommodation, within ten business days of your position application, you must email your request to MyHR glic.com , making sure to provide your name and job requisition identification number. Guardian will retain your applicant materials and resume and all information therefrom in accordance with Guardian’s document retention policy, a copy of which you may request via MyHR glic.com .

Additionally, at applicable times, Guardian will make public the most recent bias audit results for such AI tools, which may be found here .

Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.