Goldman Sachs Group, Inc. Logo

Vice President - Credit Risk Analytics

Goldman Sachs Group, Inc.

All India • 2 months ago

Experience: 5 to 9 Yrs

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Job Description

As an Analytics Risk (AR) professional, your role involves delivering critical regulatory and risk metrics analytics across various risk domains such as market, credit, liquidity, operational, and capital. You will be responsible for providing regular reporting, customized risk analysis, systematically generated risk reporting, and risk tools. With a unique vantage point in the firm's risk data flows, you are expected to leverage a deep understanding of client and market activities to build scalable workflows, processes, and procedures for actionable risk insights. Key Responsibilities: - Deliver regular and reliable risk metrics and analytics insights by understanding the firm's businesses and client activities. - Develop robust, systematic, and efficient workflows, processes, and procedures for producing risk analytics related to financial and non-financial risk, risk capital, and regulatory reporting. - Ensure the quality, timeliness, and completeness of the underlying data used for producing analytics. Qualifications Required: - Preferably hold a Masters or Bachelors degree in a quantitative discipline like mathematics, physics, econometrics, computer science, or engineering. - Possess entrepreneurial spirit, analytical creativity, self-motivation, and strong teamwork skills. - Demonstrate excellent written, verbal, and team-oriented communication skills. - Have experience in programming for extract, transform, load (ETL) operations and data analysis using languages such as Python, Java, C++, SQL, and R. - Familiarity with developing data visualization and business intelligence solutions using tools like Tableau, Alteryx, PowerBI, and front-end technologies and languages. - Understand the financial industry, markets, products, and associated non-financial risks. - Proficient in mathematics, including statistics, time series analysis, and numerical algorithms. - Possess a minimum of 5 years of experience in the financial or non-financial risk industry. As an Analytics Risk (AR) professional, your role involves delivering critical regulatory and risk metrics analytics across various risk domains such as market, credit, liquidity, operational, and capital. You will be responsible for providing regular reporting, customized risk analysis, systematically generated risk reporting, and risk tools. With a unique vantage point in the firm's risk data flows, you are expected to leverage a deep understanding of client and market activities to build scalable workflows, processes, and procedures for actionable risk insights. Key Responsibilities: - Deliver regular and reliable risk metrics and analytics insights by understanding the firm's businesses and client activities. - Develop robust, systematic, and efficient workflows, processes, and procedures for producing risk analytics related to financial and non-financial risk, risk capital, and regulatory reporting. - Ensure the quality, timeliness, and completeness of the underlying data used for producing analytics. Qualifications Required: - Preferably hold a Masters or Bachelors degree in a quantitative discipline like mathematics, physics, econometrics, computer science, or engineering. - Possess entrepreneurial spirit, analytical creativity, self-motivation, and strong teamwork skills. - Demonstrate excellent written, verbal, and team-oriented communication skills. - Have experience in programming for extract, transform, load (ETL) operations and data analysis using languages such as Python, Java, C++, SQL, and R. - Familiarity with developing data visualization and business intelligence solutions using tools like Tableau, Alteryx, PowerBI, and front-end technologies and languages. - Understand the financial industry, markets, products, and associated non-financial risks. - Proficient in mathematics, including statistics, time series analysis, and numerical algorithms. - Possess a minimum of 5 years of experience in the financial or non-financial risk industry.

Posted on: March 1, 2026

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