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

‍