Asst Dir-Data Specialist

Gurugram, India

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. 

Skills and Competencies

• Proven experience with atleast 3-5 years in Mergers & Acquisitions research, financial data, corporate ownership, or a related business information domain, with strong knowledge of transaction structures and the deal lifecycle.
• Experience leading and developing research, operations, or data teams in a production environment, including coaching, performance management, and delivery against productivity and quality targets.
• Strong operational management capability across workflow planning, resource allocation, market coverage, backlog management, service levels, and data quality controls.
• Demonstrated analytical, problem-solving, communication, and stakeholder management skills, with the ability to work across global teams and manage competing priorities.
• Experience identifying and implementing process improvements that enhance efficiency, data quality, scalability, and client outcomes.
• Experience with Generative AI, automation tools, AI-assisted research workflows, SQL, data analysis, or process improvement methodologies is preferred, along with an understanding of responsible AI, data governance, quality control, and risk management.

Education

• Bachelor's degree or equivalent experience in Business, Finance, Data Analytics, or a related discipline.

Responsibilities

• Lead M&A data operations, develop research teams, and advance AI-enabled workflows to improve quality, productivity, and scalability.
• Lead, mentor, and develop Data Specialists and Senior Data Specialists, ensuring delivery against quality, productivity, and service-level expectations.
• Manage daily production activities, including workload allocation, coverage planning, backlog management, resource allocation, and operational performance monitoring.
• Conduct quality reviews, deal validations, and spot checks, and provide coaching to ensure adherence to research methodologies and quality standards.
• Support onboarding, training, and capability development to drive consistent application of methodology, research standards, and best practices.
• Act as a subject matter expert for Mergers & Acquisitions research, deal determination, transaction analysis, corporate structures, and market coverage across assigned regions.
• Drive continuous improvement initiatives that strengthen operational efficiency, data quality, scalability, and client outcomes.
• Identify, test, and implement Generative AI, automation, and advanced tooling opportunities that improve research workflows, quality, and productivity.
• Partner with product, technology, research, and operations stakeholders to design and refine AI-assisted processes, workflow enhancements, and quality controls.
• Manage stakeholder communications and respond to internal and external client inquiries accurately and with appropriate urgency.
• Monitor team performance, investigate root causes of performance gaps, and implement coaching or corrective action plans where required.
• Ensure compliance with research methodologies, quality control processes, data governance standards, responsible AI practices, and company policies.
• Contribute to strategic initiatives focused on innovation, operational excellence, and the continued evolution of investment data products.

About the Team

Our Investment Data team delivers comprehensive, timely, and high-quality Mergers & Acquisitions data that supports Moody's products, analytics, and decision-making capabilities. The team combines market expertise, rigorous research standards, and advanced technology to identify, validate, and maintain critical transaction information across global markets.
By joining our team, you will help drive operational excellence, develop talent, and advance the use of artificial intelligence and automation in research workflows. You will collaborate with global research, product, technology, and data teams to improve data quality, increase efficiency, and support the continued evolution of Moody's investment data capabilities.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

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.

For more information on the Securities Trading Program, please refer to the Securities Trading Policy on Moody’s Compliance Expo page

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.