Engineering

Engineering, Client Data Stweardship, Analyst, Bengaluru

Data plays a critical role in every facet of the Goldman Sachs business. The Data Engineering group is at the core of that offering, focusing on providing the platform, processes, and governance, for enabling the availability of clean, organized, and impactful data to scale, streamline, and empower our core businesses.

Who We Look For

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment. Are you looking to apply your quantitative skills while deepening your understanding across a vast array of products? Client Data Engineering is a high-value risk management team under Data Engineering Division and is responsible for the governance programs that ensure critical entities modelling and entity data is accurate, complete, and scalable. This data is a critical input and dependency to most trade and client support functions. Client Data Engineering is comprised of four teams, based in Salt Lake City, Bengaluru, Singapore and Sydney.

Position Overview 

We are seeking a Client Entity Data Analyst to join our Data Engineering organization in Bengaluru. This role focuses on ensuring that client and legal entity data used across the firm is accurate, complete, and fit for purpose. You will act as a bridge between business teams and data platforms, helping define, curate, and improve entity data that supports trading, risk, client onboarding, reporting, and operations. You will partner with global teams to maintain trusted data, streamline processes, and strengthen data governance.

Key Responsibilities

• Steward core client and legal entity data so it is consistent, well-documented, and aligned to firm-wide standards and controls.
• Partner with data producers and consumers to translate business needs into clear data definitions and models for client and entity data.
• Monitor and improve data quality by identifying gaps, resolving discrepancies, and driving root-cause remediation with upstream teams and external data vendors.
• Coordinate with external data providers (e.g., GLEIF, FactSet, Bloomberg) to validate and enhance entity data coverage and accuracy.
• Support the rollout and adoption of firm data platforms and processes that make high-quality data easier to access and use.
• Maintain playbooks and procedures for creating, updating, and certifying master data; ensure adherence to governance and regulatory requirements.
• Provide guidance and training to business users on entity data standards, terminology, and best practices.
• Track and report quality metrics and business outcomes; propose process improvements and automation opportunities to increase reliability and reduce manual effort.
• Collaborate across regions (Salt Lake City, Bengaluru, Singapore, Sydney) to ensure consistent execution and knowledge sharing.

Qualifications and Skills

• Bachelor’s degree or equivalent experience(Engineering degree preferred).
• 1 -3 years of experience in data stewardship, data management, or a related analytical role within a team-oriented environment.
• In-depth knowledge of relational and columnar SQL databases, including database design.
• Strong understanding of data governance, data quality concepts, and how trusted data enables business processes.
• Ability to translate business requirements into clear data definitions and acceptance criteria.
• Comfortable working in agile, fast-paced settings; organized with strong follow-through.
• Excellent communication skills; able to work with subject matter experts and stakeholders to clarify concepts and resolve issues.
• Analytical mindset with a bias for action; focuses on measurable business impact and timely delivery.
• High ownership, professionalism, and attention to detail.

Preferred Experience

• Experience in financial services or familiarity with client, counterparty, and issuer data domains.
• Exposure to enterprise data platforms and master data processes; interest in open-source data tooling.
• Working knowledge of data quality measurement, issue remediation, and vendor data onboarding.

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital, and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. 
 

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. 

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2025. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.