Company Name:-
Goldman Sachs

Job Location:-
Bengaluru, Karnataka

Job Summary:-
MORE ABOUT THIS JOB:

About Goldman Sachs
Goldman Sachs is global investment banking, securities and investment management firm.

We provide a wide range of services to a substantial and diversified client base that includes corporations, institutional investors, governments, non-profit organizations and high net worth individuals.

Our headquarters are in New York and we maintain significant offices in London, Bangalore, Mumbai, Tokyo, Hong Kong and other financial centers around the world.

About Global Investment Research
Global Investment Research division (GIR) delivers value-added research to clients in the equity, fixed income, currency and commodities markets and develops global client-focused research in economics, portfolio strategy, derivatives and equity and credit securities.

Our clients use these insights and investment ideas to develop their strategies.

About Data Analytics
We apply technological and industry knowledge to deliver business intelligence solutions and enhance client relationship management, research products, and data infrastructure.

We work closely with divisional management to rapidly develop tools and expose metrics critical to making data-driven business decisions through data modeling and visualization.

RESPONSIBILITIES AND QUALIFICATIONS:
Job Responsibilities
Analysis & Reporting
Design, implement, and support the division’s global business intelligence reporting interfaces
Manage and develop “Extract, Transform, Load” (ETL) processes for the division’s large data sets
Critically analyze data to identify anomalies, trends, and ensure consistency
Work closely with division stakeholders to create actionable and timely business metrics
Infrastructure Development
Collaborate with GIR Engineering teams to analyze and expose new data sets
Provide insights to build automated workflows
Work closely with application development teams to enhance GIR systems
Liaise with User Acceptance Testing teams to test new features
Skills and Experience
Degree in a quantitative discipline such as Computer Science, Math, Finance, Economics, or similar
Strong communication skills and ability to work cohesively with global teams
Self-driven motivation to expand skillset and experiment with new tools and a

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