S&P Global Is Hiring Operations Specialist in Bangalore – Apply Now
About the Opportunity
S&P Global Operations Specialist Jobs offer an opportunity for candidates interested in financial data operations, index calculations, data quality, and process improvement. S&P Global is hiring an Operations Specialist for its Operations Group in Bangalore, Karnataka, India. The position is associated with S&P Global’s Enterprise Data Management and related data services described in the job posting, with a focus on supporting DeltaOne solutions and maintaining the quality and accuracy of financial information.
The selected candidate will work with financial datasets, validate information received from different sources, perform data quality checks, and support the timely production of financial data for company products. The role also involves responding to internal and external data queries, researching market events, and collaborating with cross-functional teams to investigate operational issues.
Candidates should have knowledge of index concepts and calculations, along with Excel and SQL skills. The job description also highlights VBA and the use of technical tools to automate or improve operational processes. An interest in global financial markets, strong communication skills, and the ability to manage multiple tasks are relevant to this opportunity.
The position requires flexibility to work in different shifts, including US hours, as the team operates 24/7. Candidates should review the official job description carefully to understand the required skills, shift expectations, and other conditions before applying.
What the Candidate Will Do
The Operations Specialist will help maintain the accuracy, consistency, and timely delivery of financial data used in S&P Global products. According to the supplied job description, the main responsibilities include:
Validate financial data: Check information received from different sources to ensure accuracy and consistency.
Maintain data quality: Create or execute data quality checks and standards to ensure information is stored correctly in databases and reflected accurately in products.
Support financial data production: Help deliver high-quality financial information within required timelines.
Respond to data queries: Address questions from internal and external clients and provide support to relevant stakeholders.
Monitor market events: Research financial market developments and understand how business events may affect datasets.
Investigate operational issues: Collaborate with cross-functional teams to perform root cause analysis and identify solutions.
Improve operational processes: Identify opportunities to reduce inefficiencies and improve data quality.
Use data tools: Apply Excel, SQL, VBA, and other available systems or tools to support operational requirements.
Maintain documentation: Ensure that the team’s documented operating procedures and related records are maintained.
Coordinate team activities: Coordinate and delegate work according to team requirements.
Skills Candidates Should Have
Technical Skills
Candidates should focus on the technical capabilities explicitly mentioned in the job description:
Microsoft Excel: Intermediate Excel skills, with advanced Excel capabilities relevant to data processing and automation.
SQL: Ability to write basic SQL queries and work with databases.
VBA: Knowledge of VBA for developing tools and improving operational workflows.
Index concepts and calculations: Understanding of financial indices and how index calculations work.
Data validation: Ability to identify inconsistencies and verify information from different sources.
Data quality checks: Familiarity with checking data accuracy and maintaining quality standards.
Financial market awareness: Interest in global financial markets and an understanding of relevant market developments.
Corporate actions: Specific knowledge of index operations and corporate actions is highly preferred.
Professional Skills
The role also emphasizes the following professional capabilities:
Communication: Strong verbal, written, and presentation skills.
Teamwork: Ability to collaborate with colleagues across different business units and teams.
Problem-solving: Ability to investigate data issues and contribute to root cause analysis.
Attention to detail: Careful handling of financial information and data quality checks.
Time management: Ability to manage multiple tasks and work efficiently.
Adaptability: Flexibility to respond to changing business requirements and shift schedules.
Initiative: Ability to work independently, take ownership of tasks, and identify process improvements.
How These Skills Apply to the Role
Excel, SQL, and VBA can help candidates support data validation, operational reporting, and process automation. Knowledge of index concepts and corporate actions is relevant when examining financial data and understanding changes that may affect index-related information.
Communication and analytical skills are important when answering data queries, documenting procedures, and coordinating with cross-functional teams. Since the team operates around the clock, candidates should also be prepared for shift-based work, including US hours.
What to Highlight in Your Resume
Candidates applying for this position should tailor their resumes to reflect relevant experience and skills without adding qualifications they do not possess.
Excel and SQL: Highlight practical examples of spreadsheet analysis, database queries, reporting, or data validation.
VBA and automation: Mention relevant automation scripts, macros, or tools developed for operational tasks, if applicable.
Financial data knowledge: Include genuine experience or coursework related to financial markets, index calculations, securities, or corporate actions.
Data quality: Describe experience identifying data discrepancies, investigating errors, and maintaining accurate records.
Process improvement: Include examples of improving workflows, reducing manual work, or documenting standard operating procedures.
Problem-solving: Explain how you investigated and resolved data or operational issues.
Communication and teamwork: Highlight experience responding to stakeholder queries and collaborating across teams.
Shift flexibility: Mention your availability for rotational or night shifts if applicable.
Use measurable achievements wherever possible. For example, if you have genuinely automated a recurring report or improved a validation process, describe the work and its measurable result.
Why This Role May Be Relevant to Candidates
This position may be relevant to candidates who want to develop their careers in financial data operations, index services, data quality, and business operations.
The role combines financial market knowledge with practical data-handling and process-improvement responsibilities. It also involves working with stakeholders and cross-functional teams, which may help candidates develop experience in operational problem-solving and financial information services.
S&P Global provides learning and development resources and lists benefits covering health and wellness, time off, financial planning, and family support. Specific benefits and eligibility depend on the applicable country and employment arrangements.
However, candidates should note that the supplied job posting does not specify a minimum experience level or educational qualification. Applicants should check the official listing rather than assume that this is a fresher-only position.
Application Process
Candidates can apply through the official S&P Global careers website.
Open the official careers website using the application link below.
Search for Job ID 332069 or the title Operations Specialist, Operations.
Review the complete job description, skills, and shift requirements.
Prepare an updated resume highlighting relevant Excel, SQL, VBA, data quality, and financial market knowledge.
Complete the online application and submit the requested information.
Frequently Asked Questions
Q1. What is the main focus of this Operations Specialist position?
The role focuses on financial data operations, index-related data quality, accurate information delivery, and operational process improvement.
Q2. What type of work will the selected candidate handle?
The candidate will validate financial data, perform quality checks, respond to queries, investigate issues, and support data production.
Q3. What skills are relevant to this position?
Excel, SQL, VBA, index concepts, data validation, financial market awareness, communication, and problem-solving are relevant skills.
Q4. What should candidates highlight in their resume?
Candidates should highlight genuine experience with financial data, Excel, SQL, VBA, data quality, process improvement, and stakeholder communication.