Goldman Sachs Hiring Risk Engineering Associate - Apply Now!

Location: Bengaluru, Karnataka, India

Job Description

About Goldman Sachs: The Goldman Sachs Group, Inc. is a leading global financial services firm providing investment banking, securities, and investment management services 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 major financial centers around the world.

Role Overview: We are currently seeking candidates for Market Risk Capital – Risk Engineering in Bengaluru. Risk Engineering (RE), part of the Risk Division, plays a central role in the Goldman Sachs risk management framework. The primary responsibility of RE is to provide robust metrics, data-driven insights, and effective technologies for risk management. The Market Risk Capital group within RE focuses on market risk and capital measures, involving tasks such as reviewing, publishing, interpreting, and communicating the firm’s independent and authoritative risk and capital measures, as well as developing, implementing, and maintaining various models and quantitative tools.

Responsibilities:

Analyze pricing, risk, and capital model outputs to understand and justify features observed in the firm’s market risk data.
Enhance and manage processes that quantify, review, explain, and convey insights for risk and capital measures across diverse financial products and activities.
Provide quantitative and qualitative risk analysis to estimate the financial risk of the firm’s transactions.
Streamline and automate risk analysis and reporting to improve metric accuracy, timeliness, and availability for stakeholders.
Develop, test, and integrate new or enhanced workflows, and maintain corresponding documentation.
Perform anomaly detection on large data sets, investigate root causes, and recommend corrective actions.
Liaise with various groups to understand and explain observations in risk data.
Build and maintain comprehensive reports and presentations for market risk capital for reporting to regulators, internal risk committees, and senior leadership.
Communicate complex ideas with internal and external stakeholders.

Opportunities:

Exposure to industry-leading market data, pricing, risk, and capital models.
Development of quantitative and programming skills.
Exposure to challenging quantitative problems and advanced analysis techniques.
Interaction with large data volumes and tools for meaningful data interpretation.
Engagement in critical internal risk management activities.
Collaboration with senior members of the firm and various groups across the firm.

Skills and Relevant Experience:

Preferred Master’s Degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Financial Engineering).
Deep knowledge in statistical modeling (regression, time series analysis, machine learning).
Strong programming skills (C++, Python, R, Matlab).
Familiarity with options and derivatives pricing theories.
Experience or keen interest in risk and capital models.
Experience or keen interest in financial markets and economics.
Excellent written and verbal communication skills.
Entrepreneurial, creative, self-motivated, and team-oriented.

About Goldman Sachs: Goldman Sachs commits its people, capital, and ideas to help clients, shareholders, and communities grow. The firm fosters diversity and inclusion, ensuring opportunities for professional and personal growth. Learn more about the firm’s culture, benefits, and people at GS.com/careers.

Accommodations: Goldman Sachs is committed to finding reasonable accommodations for candidates with special needs or disabilities during the recruiting process. Learn more at Goldman Sachs Disability Statement.

Job Info: