Data and Risk Management Analyst

The Data and Risk Management Analyst provides support to the Division’s leadership team and examination staff, through the creation of tools, development of analytical models to identify trends in data received through examinations and reports. The analyst will participate in various internal committees to further promote data-driven decision-making relating to market supervision. The analyst will also participate in the agency’s Risk Assessment process and assist with updates to the Internal Control Plan.

Responsibilities

• Serve as an agency-wide resource to review and analyze complex data, trends and risk assessments related to supervision and regulatory matters.
• Work with unit and senior management to understand data needs and requirements to conduct a range of analytics, advisory, and reporting activities in support of agency and unit operations and policy initiatives.
• Define new data collection and analysis processes and identify relevant data sources.
• Use data analytics tools and software to effectively visualize data relevant to the agency and our essential functions.
• Identify patterns and trends using relevant data and escalate to appropriate management to guide examination and supervision decisions and assist to focus resources on priority risk areas.
• Participate in the Strategic Planning Committee to provide input and suggestions on the future direction of the agency based on data analysis, risk assessment, and emerging trends.
• Compile and analyze agency production metrics and dashboard reports, monitor and track unit and agency accomplishments, and provide recommendation, as appropriate, to management.
• Review, analyze, and provide input upon request on regulatory applications that require the involvement of the Division’s depository and non-depository supervision 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; lead internal data analytics working groups and trainings as appropriate.

Requirements/Skills Needed

Requirements: 

• Experience with Python, VBA, R, Git, SQL, as well as familiarity with Tableau and other visualization software;
• Ability to analyze large datasets and an analytical mind with an inclination for problem-solving;
• Ability to give meaning, insight, and purpose to information to drive business decisions;
• Possess the ability to combine the analytical strength of Python with the visualization capability of Tableau to solve complex data problems when necessary;
• Must have strong analytical skills coupled with excellent writing skills;
• Ability to interact and communicate with all levels of Division staff, Commonwealth staff, and external parties.
• Ability to create comprehensive reports including strong verbal and written communication skills;
• Independent commitment and ability to carry out multiple job duties independently on a daily basis without direct supervision;
• Proven ability to learn independently on the job and ask relevant questions when guidance is needed;
• Ability to adjust to changing situations to meet emergency or changing program or production requirements, and ability to manage multiple tasks simultaneously;
• Attention to detail;
• Advanced in Excel, Word, and PowerPoint.

Preferred Knowledge/ Skills/ and Abilities:

• Experience strategizing and solving business challenges leveraging software tools such as Python, VBA, Tableau, Azure Cosmos DB, Git, and Azure Repos;
• Possess advanced Python programming skill including the ability to develop GUI desktops using Tkinter and connect to data APIs;
• Possess advanced knowledge of Tableau Desktop, Tableau Server, and the ability to develop highly interactive dashboards;
• Possess advance knowledge of Git and remote repositories such as Azure Repos;
• Familiarity with financial regulation and appropriate laws, regulations;
• Familiarity with various types of financial statements;
• Familiarity with various financial regulation reports and data sets provided by federal financial regulators;
• Knowledge of principles and practices of finance and financial management.
• Demonstrated commitment to valuing diversity and contributing to an inclusive working and learning environment.

Qualifications:

 Minimum Entrance Requirements:

Applicants must have (A) 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 (B) any equivalent combination of the required experience and the substitutions below   

Substitutions:  

I.    A Bachelor’s degree or higher with a major in Mathematics, Economics, Computer Science, Information Management, Statistics or a related field may be substituted for the required experience.

How to Apply

Apply online at https://massanf.taleo.net/careersection/ex/jobdetail.ftl?job=23000D8Y