Associate Specialist – Data Solutions Supervision (Insurance, Funds and Corporate Authorisations) Department

Bermuda Monetary Authority; Bothwell; On-site; GBP 90,000 - 120,000; Full time

Job summary

The Bermuda Monetary Authority seeks an Associate Specialist in Data Solutions to advance supervisory analytics for insurance, funds and corporate authorisations. You will build ML-enabled risk models, dashboards and automated data pipelines, ensuring data quality and governance across solvency, liquidity and capital adequacy assessments.

Reporting to the Deputy Director, you will translate complex analytics into actionable insights for senior management and regulators, and collaborate across

Qualifications

• Master’s degree in actuarial science, data science, computer science, artificial intelligence or related field, or bachelor’s with actuarial/data/CS/AI qualifications and substantial experience.
• Minimum 7 years in advanced analytics, risk modelling, supervision or data science in financial services or regulated environments.
• Experience applying AI/ML techniques in real-world analytical or risk contexts.
• Strong proficiency in Python, SQL, and modern data/AI tooling.
• Experience with data automation, workflow orchestration, or analytics engineering.
• Knowledge of insurance and insurance supervision (P&C).
• Strong problem-solving, communication, and stakeholder engagement skills.
• Ability to translate complex analytical outputs into clear, decision-oriented insights.

Responsibilities

• Design and deliver advanced risk analytics frameworks for supervisory decision‑making.
• Apply ML/AI to identify emerging risks and trends.
• Develop decision intelligence tools, dashboards, risk indicators and early warning systems.
• Create data visualisations and dashboards for executive and supervisory use.
• Translate analytical outputs into actionable insights for senior management and regulators.
• Establish robust data validation and QA processes, automated checks, and anomaly detection.
• Govern data integrity and reconciliation practices across supervisory analytics.
• Build automated data pipelines and reporting workflows for efficiency and auditability.
• Develop scalable analytical models for solvency, liquidity and capital adequacy assessment.
• Leverage AI-assisted analytics to streamline regulatory filings processing.
• Support risk reviews with data-driven insights and scenario analysis.
• Integrate structured and unstructured data into dashboards and platforms.
• Collaborate to embed data visualisation standards across the department.
• Prepare high-impact reports and interactive dashboards for technical and non-technical audiences.
• Support supervision processes such as colleges, risk assessments and onsite visits.

Skills

Problem solving

Communication

Stakeholder engagement

Decision translation

Education

Master’s or bachelor + actuarial/data/CS/AI qualifications

Tools

Python

SQL

ML libraries

Cloud analytics platforms

Workflow orchestration

Analytics engineering

Job description

Associate Specialist – Data Solutions

Supervision (Insurance, Funds and Corporate Authorisations) Department

The Bermuda Monetary Authority (Authority or BMA) is seeking the services of a skilled and capable individual to work as an Associate Specialist in our Supervision (Insurance, Funds and Corporate Authorisations) Department within our Property and Casualty (P&C) Supervision Team. Reporting to the Deputy Director, the successful candidate will play a key role in enhancing supervisory effectiveness through advanced analytics, AI-driven insights and automation. This role focuses on transforming data into actionable intelligence to support risk-based supervision of insurance and reinsurance entities, with particular emphasis on innovation in analytical methodologies and decision support.

This is a key role for the Authority and the post-holder will be responsible for, but not limited to:

• Designing and delivering advanced risk analytics frameworks to support supervisory decision‑making across insurance sectors, mainly P&C
  
• Applying Machine Learning (ML), AI techniques, and predictive analytics to identify emerging risks, anomalies and market trends
  
• Developing decision intelligence tools, including interactive dashboards, risk indicators, and early warning systems
  
• Leading the design and delivery of high-quality data visualisations and dashboards (e.g., executive dashboards, supervisory monitoring tools) to communicate complex insights clearly and effectively
  
• Translating analytical outputs into intuitive visual narratives that support Senior Management and regulatory decisions
  
• Establishing and enhancing robust data validation and quality assurance processes, including automated validation checks, reconciliation routines and anomaly detection
  
• Ensuring the integrity, consistency and reliability of data used in supervisory analytics through data governance best practices
  
• Designing, building and maintaining automated data pipelines and reporting workflows, improving efficiency, scalability and auditability
  
• Developing and maintaining scalable analytical models for solvency, liquidity and capital adequacy assessment
  
• Leveraging AI-assisted analytics to streamline data processing, validation and interpretation of regulatory filings
  
• Supporting thematic and cross-sector risk reviews through data-driven insights, scenario analysis and visual reporting outputs
  
• Integrating structured and unstructured data into centralised dashboards and analytical platforms
  
• Collaborating with internal stakeholders to embed data visualisation standards and best practices across the department
  
• Preparing high-impact reports, presentations, and interactive dashboards to communicate findings to both technical and non-technical audiences.
  
• If required, supporting the Supervision Department in all supervisory processes, such as colleges, risk assessment and onsite visits
  
• Performing other related work and special projects as assigned by the Deputy Director, Director or Deputy Managing Director in accordance with competencies normally associated with the post

This position requires a proven technical and business background; therefore, the post-holder must have:

• A master’s degree in actuarial science, data science, computer science, artificial intelligence, or a related quantitative field or a bachelor’s degree in actuarial science, data science, computer science, artificial intelligence and related quantitative field, plus qualifications, such as actuarial degrees or memberships, along with substantial relevant professional experience
  
• A minimum of seven (7) years relevant experience in advanced analytics, risk modelling, supervision or data science within financial services or a regulated environment
  
• Experience applying AI/ML techniques in real-world analytical or risk contexts
  
• Strong proficiency in Python, structured query language (SQL), and modern data/AI tooling (e.g., cloud analytics platforms, ML libraries)
  
• Experience with data automation, workflow orchestration, or analytics engineering
  
• Knowledge and demonstrated experience of insurance and insurance supervision (P&C) is essential
  
• Strong problem-solving, communication, and stakeholder engagement skills
  
• Ability to translate complex analytical outputs into clear, decision-oriented insights

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.

Applications for this position must be received no later than 06 November 2026.

Bermuda Monetary Authority is an Equal Opportunity Employer

BMA House | 43 Victoria Street, Hamilton HM 12 | [e-mail] | [phone]

Professionalism, Integrity, Accountability, Adaptability, Collaboration