Prudential Risk And Capital Modelling Specialist Supervision (insurance, Funds And Corporate Authorisations) Department
Deadline: 13 days
Permanent
Full-time
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The Bermuda Monetary Authority (Authority or BMA) is seeking the services of a skilled and capable individual to work as a Prudential Risk and Capital Modelling Specialist in our Supervision (Insurance, Funds and Corporate Authorisations) Department. Reporting to the Deputy Director, the Prudential Risk and Capital Modelling Specialist will be responsible for designing and implementing supervisory modelling tools used to challenge company submissions (including Scenario-Based Approach (SBA) models), assessing capital sufficiency, evaluating risk exposures, and conducting independent stress and sensitivity analyses. This is a key role for the Authority and the postholder will be responsible for but not limited to: Asset and Liability Modelling Developing and maintaining supervisory models to independently assess insurer reserve adequacy, including SBA submissions Performing independent projections of liability cash flows to challenge company assumptions, methodologies, and outputs Assessing embedded guarantees, management actions, policyholder behavioural risks, and scenario design Developing independent asset projection tools to assess credit risk, spread risk, default behaviour, structured asset exposures, and asset-liability interactions Evaluating valuation methodologies and asset modelling assumptions used by regulated entities Conducting stress-based asset revaluation assessments under supervisory scenarios Risk and Capital Modelling Developing supervisory capital assessment tools to evaluate solvency resilience under base and stressed conditions Independently assessing insurers' internal capital models and risk aggregation methodologies Evaluating correlation assumptions, diversification benefits, and tail risk modelling techniques Performing quantitative benchmarking across firms to identify outliers and emerging prudential risks Supervisory Stress Testing and Scenario Analysis Designing and executing supervisory stress testing exercises across market, credit, insurance, and liquidity risks Reviewing and challenging insurer stress testing frameworks and scenario calibration Conducting reverse stress testing and independent impact assessments Comparing stress results across firms to assess systemic vulnerabilities Model Governance and Validation Assessing model risk management practices across regulated entities Developing supervisory standards for model documentation, validation, and controls Performing technical deep dives into insurer model governance frameworks Contributing to regulatory guidance on modelling standards and best practices Research and Prudential Innovation Monitoring emerging quantitative risk modelling techniques Enhancing supervisory methodologies in response to market innovation and complex financial instruments Supporting policy development through quantitative analysis and technical input into prudential rules Representing the Authority at local, regional, and international meetings, conferences, seminars, and technical working groups involving regulatory peers, government agencies, and industry participants Performing other related work and special projects as assigned by management in accordance with competencies normally associated with the post.
Requirements
This position requires a proven technical and business background, therefore, the post-holder must have: A Master’s degree in actuarial science, quantitative finance, statistics, mathematics, financial engineering, or a related quantitative discipline from a recognised institution ora Bachelor’s degree in one of the above disciplines together with a relevant professional qualification (e.g., actuarial designation or equivalent) A minimum of ten (10) years of relevant experience of which at least five (5) should be at a senior level in actuarial software design, actuarial modelling, capital modelling, quantitative risk management, financial engineering, or supervisory analytics Demonstrated experience in: Designing modular, well-documented and reproducible modelling frameworks Version control (e.g., Git) and structured development practices Model validation, benchmarking and challenger design Ability to work with large datasets and automate analytical workflows Reserve and liability projection modelling Capital and solvency modelling Building or reviewing stochastic projection models Reviewing or validating financial models Programming in R, Python, Julia, or similar languages at expert proficiency level Working with proprietary actuarial platforms (e.g., Axis, Prophet etc.) Applying structured model governance and validation practices Experience within a regulatory or supervisory environment is advantageous but not required. The Bermuda Monetary Authority is the integrated regulator of Bermuda’s financial services sector. We offer the opportunity for broad exposure to international regulatory issues, special projects and a variety of work experiences.
Salary
Not specified
Benefits
Not specified
How to Apply
If you are looking for a challenging opportunity in a team environment, we invite you to submit your application online via our 'Careers at BMA' page on www.bma.bm/vacancies. Applications for this position must be received no later than 17 March 2026.
⚠️ HOW TO APPLY - PLEASE READ: Follow the instructions found within this job listing:
➤ The "Apply Now" Button: If visible, this link may redirect you to an external website (not BermudaJobFinder) which may require you to create an account.
➤ Direct Application: If the job listing asks you to apply directly but the contact info is missing, please search for the hiring company online to find their details.
BermudaJobFinder is a job board and does not recruit, place candidates or accept applications. Please do not reply to email alerts with your resume.