Global Banking & Markets – Data Analytics – Associate - Bengaluru

Bengaluru, Karnataka, India

Goldman Sachs

The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base.

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ABOUT GOLDMAN SACHS


The Goldman Sachs Group is a bank holding company and a leading global investment banking, securities and investment management firm. Goldman Sachs provides a wide range of services worldwide to a substantial and diversified client base that includes corporations, financial institutions, governments and high net worth individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in London, Frankfurt, Tokyo, Hong Kong and other major financial centers around the world.


BUSINESS UNIT OVERVIEW


Goldman Sachs Services Private Limited in Bengaluru is seeking an associate 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.


RESPONSIBILIITES:


• Management and oversight of trading and lending data for Mortgages and Structured Products, including data setup, database management, ETL, data validation and quality control
• Drive process automation by identifying redundancies, reducing manual interventions and improving process efficiency for the trading and lending platforms
• Develop strategic reporting for trading desks and asset management across relevant products and/or asset classes
• Ensure the flow, accuracy, and completeness of data by partnering with 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
• Manage data dictionaries and large data stores
• Reconcile data discrepancies and perform data reconciliations between external vendors and internal databases through analytics and research
• Fulfill ad hoc data requests


SKILLS / EXPERIENCE:


• 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.
• Proficient in SQL and / or interacting with structured data
• Understanding of in industry standard data transformation and reporting tools such as Tableau, Alteryx, or ability to create/build reports and data visualizations
• 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:
• Experience in Python programming 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 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


Please note that our firm has adopted a COVID-19 vaccination requirement for employees who work onsite at any of our U.S. locations to safeguard the health and well-being of all our employees and others who enter our U.S. offices. This role requires the employee to be able to work on-site. As a condition of employment, employees working on-site at any of our U.S. locations are required to be fully vaccinated for COVID-19, and to have either had COVID-19 or received a booster dose if eligible under Centers for Disease Prevention and Control (CDC) guidance, unless prohibited by applicable federal, state, or local law.


 Applicants who wish to request for a medical or religious accommodation, or any other accommodation required under applicable law, can do so later in the process. Please note that accommodations are not guaranteed and are decided on a case by case basis.


© The Goldman Sachs Group, Inc., 2024. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.

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Tags: Banking Data analysis Data Analytics Engineering ETL Excel Finance Python RDBMS Research SQL Tableau

Perks/benefits: Health care Wellness

Region: Asia/Pacific
Country: India
Job stats:  1  0  0
Category: Analyst Jobs

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