📍
Bengaluru, India

GBM - Public Dept-Bengaluru-Analyst-Data Analytics

1 year experience
Finance
Data / Analytics
Posted:
December 29, 2025

Goldman Sachs

Investment banking and financial services
78.5
Palpable Score
Apply >view company >

Business Unit Overview

Goldman Sachs Services Private Limited in Bengaluru is seeking an analyst to support the Loan Management function within the Global Banking & Markets (GBM) Public Division. The Loan Management function supports the Mortgages and Structured Products business for GBM Public that transacts in loans, derivatives, and securities across various mortgage related products. The Data Analytics team in Loan Management is responsible for standardizing and controlling all data flows with respect to mortgage trading and lending products owned by the firm.


Responsibilities

• Management and oversight of trading and lending data for Mortgages and Structured Products, including data pipelines and database management, validation, and quality control
• Process and workflow automation to eliminate redundancies, reduce manual interventions and improve efficiency for the firm’s trading and lending platforms
• Develop strategic reporting for trading desks and asset management across relevant products and asset classes
• Ensure end-to-end flow, accuracy, and completeness of data by partnering with Trading Desks, Asset Management, Engineering and Strats to understand business requirements and define strategic data models and systems
• Liaise with Controllers, Compliance, Risk and other divisions for regulatory and business important reporting through automated toolkits
• Translate business requirements into tangible solution specifications and high quality, on time deliverables
• Manage project timelines and completions for committed analytics, automation and reporting
• Reconcile data discrepancies and perform data reconciliations between external vendors and internal databases through analytics and research


Skills / Experience

• 1-3 years of experience in data analysis, data modeling, RDBMS databases and ETL
• Strong academic background – 4-year related engineering background with a minimum 3.0 GPA
equivalent.
• Experience with at least one programming language such as Java, Python etc. preferred.
• Proficient in SQL and / or interacting with structured data
• Understanding of in industry standard data transformation and reporting tools such as Tableau,
Qlikview, QlikSense, Alteryx, RapidMiner etc.
• Solid analytical/logical mindset and attention to detail
• Strong communication skills (clear, concise, and confident) with the ability to manage internal and
external relationships.
• Team-oriented with a strong sense of ownership and accountability
• Must know or be able to learn Excel to an advanced level
• Ability to prioritize workload, and work with Technology to help drive data smart solutions


Good to have

• Knowledge and/or experience with Machine Learning preferred
• Understanding of databases, data models, and Extraction Transformation Load (ETL) processes
preferred.
• Mortgage banking or other financial industry experience
• Understanding of structured finance, collateralized lending, fixed income, or related finance
modeling concepts

About the company

Goldman Sachs

Company overview
Goldman Sachs is a global financial services firm best known for investment banking, markets and trading, and asset and wealth management. Goldman Sachs advises companies, financial institutions, governments, and investors on deals, financing, risk management, and investments. The company also runs large-scale wealth management and alternatives businesses for institutions and high-net-worth clients. Goldman Sachs operates across major financial hubs and supports clients in public and private markets.

Locations and presence

Goldman Sachs has offices across more than 60 cities worldwide, with major hubs including New York and other large regional offices across the Americas, EMEA, and Asia-Pacific. Goldman Sachs is widely run as an office-first employer, with some flexible working arrangements available by manager approval depending on role and location.

Palpable Score

78.5
/ 100
Goldman Sachs offers one of the most structured early-career entry points in finance, with repeatable internships and full-time analyst pathways across regions and divisions. The hiring steps are unusually well-documented for a firm of this size, and the company backs that up with formal training and broad benefits. The main limiter is outcomes: public signals show both strong promotion pathways and recurring performance-cycle cuts, with limited hard data on intern conversion and early-career retention.
view full company profile >

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