Quantitative Modelling Analyst

S&P Global; Mumbai; On-site; INR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Opportunity to work on proprietary systems

Exposure to global teams

Hands-on experience with industry-standard technologies

Chance to deepen understanding of data validation

Job summary

A leading financial data company in Mumbai seeks a Data Excellence Member to ensure data accuracy and integrity. This role involves managing fundamental datasets, collaborating with global teams, and supporting data governance. Candidates should have a Master’s degree and 2+ years in data operations, with strong skills in Python and SQL. Join a dynamic environment where your contributions drive significant business outcomes and ensure operational excellence.

Qualifications

• At least 2+ years of professional experience in data operations.
• Strong understanding of fundamental financial data.
• Ability to work independently under time pressure.

Responsibilities

• Execute periodic fundamental data review and resolve mismatches.
• Investigate discrepancies in input data.
• Support audit requirements and maintain documentation.
• Propose process improvements and automation enhancements.
• Coordinate with data launch teams on pipeline fixes, enhancements and testing.

Skills

Data Mastery

Experience in reconciling datasets

Ability to analyze large datasets

Strong interpersonal skills

Attention to Detail

Attention to detail

Collaboration

Education

Master’s Degree in business, economics, or finance

CFA or advanced degree preferred

Tools

Python

SQL

Power BI

APIs

Job description

Overview

The Team: Global Index Management & Production Group (IMPG)

The Data Excellence (DX) Member will play a critical role as fundamental data owner ensuring data accuracy, integrity, and validation of fundamental data-points and factor score datasets used in the index business. This role involves onboarding of data from vendors, transformation of data, designing mastering workflow, validation, conducting QA checks and data delivery. The ideal candidate will collaborate with global teams for timely delivery of fundamental data. Additionally, the candidate will be expected to support audit of data, designing methodologies and adhere to the governance requirements. By ensuring that core company fundamentals and derived scores are robust and high-quality, you help maintain trust in the indices our clients rely on. The role is essential to ensuring reliability, transparency, and consistency in how fundamental data flows into our index products.

What is in it for you?

• Opportunity to work on proprietary systems and handle large fundamental datasets and drive data validation, operational controls and timely delivery of Fundamental data
• Exposure to global teams and stakeholders, contributing to high-impact solutions.
• Hands-on experience with industry-standard technologies like Python, SQL, and Power BI.
• Opportunities to enhance processes, develop data controls, and shape consistent data standards for fundamental data attributes
• A chance to deepen your understanding of index inputs, data validation, and operational workflows
• Be part of a dynamic and collaborative environment where your work directly influences business outcomes.

Responsibilities

• Operational Data Management
• Execute periodic fundamental data and factor scores review
• Identify and resolve data mismatches across multiple sources by analyzing discrepancies, cross-referencing databases, and ensuring data consistency
• Develop expertise in key data sources, industry-specific datasets, and reference/master data management to ensure the highest quality in reporting and analytics
• Data Quality & Issue Resolution
• Investigate discrepancies, missing fields, or anomalies in input data
• Work with internal teams and external providers to resolve data issues promptly
• Document recurring issues and help identify long-term remediation steps
• Apply and maintain data quality rules, thresholds, and exception handling procedures
• Documentation & Governance
• Keep data dictionaries, lineage records, and procedural documentation up to date
• Support audit requirements by maintaining clear logs of changes, corrections, and approvals
• Adhere to internal policies, data governance best practices, and regulatory requirements
• Work closely with index operations teams to understand evolving data requirements
• Coordinate with data launch teams on pipeline fixes, enhancements, and testing activities
• Communicate data issues clearly and in a timely manner to stakeholders
• Process Improvement
• Identify inefficiencies in existing processes and propose automation enhancements to optimize operations
• Contribute to improving data mastering processes, validation logic, and workflow controls
• Help evaluate new data sources and support onboarding activities

Qualifications

• Master’s Degree. CFA or Advanced degree in business, economics, or finance strongly preferred.
• At least 2+ years of professional experience working directly with data operations, fundamental/financial data research related roles
• Domain Knowledge: Understanding of Fundamentals Data, Financial Statements, Factor score calculation
• Ability to work independently on multiple projects
• Ability to work under time pressure, especially during index production cycles

Required Skills

• Data Mastery: Ability to analyze large datasets, detect discrepancies, and investigate mismatches using multiple sources.
• Experience in reconciling datasets, validating inputs, and ensuring alignment with reference/master data.

Preferred Skills

• Good Knowledge of Python for automation of processes and SQL for data extraction is a plus
• Experience with Power BI (or other visualization tools) for reporting and dashboard development. Familiarity with APIs and data integration methods is a plus.
• Collaboration & Communication: Strong interpersonal skills to work effectively with global teams and stakeholders.
• Attention to Detail: Ensuring accuracy and reliability in automated processes and data outputs.

Pay range and compensation package

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Equal Opportunity Statement

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