Lead Specialist-Analytic Data Operations

Skills and Competencies 6+ years of relevant experience in credit, financial data, or data operations roles, with Structured Finance experience across ABS, RMBS, and CLOs preferred Strong understanding of financial data concepts, including data relationships, business context, and how data supports analytical processes and outcomes Strong SQL, data management, and data quality expertise, with the ability to work with large datasets and ensure accuracy and integrity Strong analytical, problem‑solving, and investigative skills, with the ability to identify root causes and implement scalable solutions Ability to manage multiple priorities and deliver high‑quality outcomes within deadlines while maintaining strong quality control standards Effective communication and collaboration skills, with the ability to build relationships across cross‑functional teams and stakeholders Experience leveraging technology, automation, and process improvement techniques, with familiarity in tools such as Python, Power BI, Alteryx, or similar platforms preferred Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use Education Bachelor’s or Master’s degree in Finance, Economics, Business, or Accounting Advanced Microsoft Excel skills and strong proficiency across the wider Microsoft Office suite Responsibilities Lead data operations and analytics initiatives to support high‑quality financial data processes, research workflows, and business outcomes. Lead projects supporting data, ratings, research, and analytical outreach, applying technical expertise to improve processes and manage data intake, normalization, and processing Take full ownership of assigned outputs, ensuring accuracy, timeliness, and completion of quality reviews to identify improvement opportunities Lead process re‑engineering efforts and champion automation initiatives to improve operational efficiency and scalability Oversee transitions to team members and outsourcing partners, ensuring consistency and quality of deliverables Lead projects or working groups focused on methodology changes, automation, and process standardization Support global data and technology initiatives, including requirements gathering and documentation Manage relationships with key stakeholders and coordinate cross‑functional initiatives across regions and teams Benefits and Compensation For US‑based roles only: the anticipated hiring base salary range for this position is $113,200.00‑$164,050.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full‑time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement. Equal Employment Opportunity Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email View email address on click.appcast.io. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance. This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. #J-18808-Ljbffr Moody's Investors Service