Bermuda Monetary Authority is hiring a

Data Modelling and Analytics Specialist

Deadline: 1 week

Job Type: Permanent

The Bermuda Monetary Authority (Authority or BMA) is seeking the services of a skilled and capable individual to work as a Data Modelling and Analytics Specialist in our Supervision (Insurance) Department. Reporting to an Assistant Director, the Data Modelling and Analytics Specialist will be responsible for data analysis, research analytics, and developing and maintaining internal risk analysis tools and models that can be effectively employed to conduct in-depth analysis, reviews and research. The incumbent will collaborate closely with supervisory teams to automate regulatory processes, enhance reporting capabilities and provide technical guidance on analytical matters. Additionally, the role will contribute to the continuous improvement of regulatory practices and methodologies, staying abreast of industry developments and best practices. This is a key role for the Authority and the post-holder will be responsible for: Developing and maintaining actuarial models using actuarial software to support regulatory oversight, including technical provisions, solvency assessment, risk analysis and financial reporting Assisting in the promotion and implementation of rules, policies, and guidance affecting the BMA-regulated (re)insurers Identifying and reporting circumstances that could be indicators of potential insurance company distress and recommending appropriate courses of action Performing reviews of regulatory filings of the BMA-regulated entities and communicating findings to supervisory teams and/or recommending changes to guidance to address findings Utilising advanced statistical techniques and predictive modelling to analyse insurance company data and identify emerging trends, risks, and vulnerabilities. Contributing to the building of infrastructure that will promote the security and integrity of the data Conducting thorough technical reviews of reserving, capital and risk models, including methodologies and assumptions used by insurance companies to ensure compliance with regulatory standards and best practices Collaborating with cross-functional teams within the Authority to develop and implement data-informed solutions for addressing regulatory challenges and achieving strategic objectives Automating regulatory processes and building internal tools using Excel, R and/or Python to support technical analysis of complex supervision projects and initiatives Designing tools a and templates used for ad-hoc data calls, validating and analysing collected data and interpreting the data for presentation to management, and attending to queries from registrants arising from the data calls Conducting research and staying abreast of (re)insurance industry developments and contributing to supervisory insight and foresight to ensure the Authority's practices align with best practices, fostering a culture of continuous improvement and excellence in leveraging data data and research for effective decision-making and strategic initiatives Providing support for technical issues, knowledge sharing, as well as coaching and mentoring to junior team members Representing the Authority at various local, regional and international meetings, conferences and seminars, involving meetings and information exchanges with with other regulatory bodies, government agencies and the financial services industry to maintain and develop key relationships as required Assisting in other areas of the supervision of insurance companies, for example, special projects aimed at meeting departmental objectives, or to address emerging issues 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 or equivalent qualification in relevant discipline (e.g., actuarial science, mathematics, statistics, finance, computer science or related field) from a recognised institution or a professional designation from a recognised institution or professional body, such as CPA, CFA, FIA, FSA A minimum of seven (7) years of relevant experience in modelling and analytics, of which at least three (3) years should be at a senior level working within the financial services industry, preferably in life (re)insurance Proficiency in AXIS actuarial software with a solid understanding of actuarial principles, reserving techniques and financial reporting requirements Proficiency in agile software development, object-oriented programming techniques and SOLID design principles Extensive experience in data manipulation, analysis and visualisation, using tools such as R and/or Python Familiarity with various international insurance regulatory and capital standards would be an asset

Salary

Not specified

Benefits

Not specified

Berm

Contact InfoBermuda Monetary AuthorityNo contact information available

Application DeadlineJun 25, 2025

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