Data and Risk Management Analyst I

Commonwealth of Massachusetts • Boston, MA

1d • $84,445 - $122,919 • Hybrid

About The Position

The Division of Banks is hiring a Data and Risk Management Analyst for its Data Analytics unit. The analyst will support the Division’s mission as the primary financial regulator for the Commonwealth of Massachusetts by helping design, build, and maintain automated data pipelines and analytical tools, and by improving data collection and reporting processes. The role offers the opportunity to develop technical and analytical skills while gaining experience in financial regulation.

The analyst will work with data professionals and data scientists on large financial and regulatory datasets; support secure, governed AI agents and other internal AI use cases; and collaborate with colleagues across the Division on regulatory challenges and data-informed decisions. The work also includes developing data products, providing queries and visualizations, identifying trends and potential risks, supporting strategic planning and agency risk assessments, and contributing to data analytics working groups.

This is a hybrid position. Staff are expected to work on-site at a Division office or attend trainings at least once per pay period, with additional in-person attendance possible based on unit activities or operational needs. Flexible start and end times are available, and staff may be eligible for a compressed work schedule that includes every other Friday off. The position is a union role in NAGE Unit 6, Grade 15, with a stated annual salary range of $84,445.40–$122,918.64; placement within the range is based on relevant experience. The position reports directly to the Chief Risk Officer. Filling the role is subject to appropriation and required approvals, and the Division reserves the right not to fill it without notice.

Requirements

• At least two years of full-time or equivalent part-time professional or technical experience performing related duties that include business data recovery, analysis, query design, reporting, and statistical analysis, or an equivalent combination of experience and the listed substitution.
• A bachelor’s degree or higher with a major in Mathematics, Economics, Computer Science, Information Management, Statistics, or a related field may substitute for the required experience.
• Ability to independently drive projects from design and architecture through development, testing, and deployment.
• Ability to collaborate and communicate with people from different professional backgrounds.
• Curiosity, attention to detail, and an interest in developing creative solutions to data-related challenges.
• Eagerness to learn new analytical tools, technologies, and techniques.

Nice To Haves

• Strong Python experience, preferably with ETL/ELT pipelines and third-party REST APIs.
• Experience with Snowflake or other data lake platforms, including role-based access control (RBAC) management or other user access control systems.
• Experience applying best practices to large-scale data processing and management, emphasizing computational efficiency, optimized code, resource utilization, and cost-effective workflows.
• Advanced SQL skills for Snowflake stored procedures, testing, and validation.
• Strong organizational skills to manage simultaneous projects and competing priorities.
• Experience with version-control tools and promoting code and database objects from design to production, including Git branching and CI/CD pipelines such as GitHub Actions or Azure DevOps.
• Strong written and verbal communication skills, including explaining technical information and findings to nontechnical audiences and supporting informed decision-making.
• Interest in finance, economics, banking, financial regulation, or related financial services topics.
• Familiarity with financial statements, financial reporting, or financial, banking, or economic data analysis.

Responsibilities

• Assist in developing and maintaining the Division’s data infrastructure, including data engineering projects that improve automation, testing protocols, and efficiency.
• Assist in designing, building, and maintaining automated data pipelines in the Division’s Snowflake environment.
• Support development of secure, governed AI agents and agentic AI use cases for agency staff.
• Provide Division staff with data and insights from custom-developed data products, including queries and visualizations, to inform business decisions.
• Review and analyze complex financial and regulatory datasets to identify trends and potential risks related to the Division’s supervisory responsibilities.
• Collaborate with team members and agency staff to identify needs, gather requirements, and source use cases.
• Help develop and improve data collection, cleaning, and validation processes.
• Identify patterns and trends and escalate findings to appropriate management to guide examination and supervision decisions and focus resources on priority risk areas.
• Support agency strategic planning initiatives through data analysis, research, and identification of emerging trends.
• Analyze data associated with regulatory applications and other supervisory matters involving the Division’s depository and non-depository units.
• Participate in agency-specific risk assessments and updates to the Internal Control Plan.
• Participate in relevant data analytics working groups in coordination with other regulatory or industry groups.
• Participate in internal committees and working groups to promote data-driven decision-making.

Benefits

• Generous paid leave and a competitive state holiday schedule.
• Participation in the Commonwealth’s State Employee Retirement System.
• Training opportunities through the agency, regulatory partners, and the Commonwealth.
• Tuition remission at Massachusetts public colleges and universities.
• Flexible start and end times; employees may be eligible for a compressed schedule that includes every other Friday off.
• Hybrid remote-work flexibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed