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.

Goldman Sachs currently seeking Software Engineer – Risk Division Associate for Market Risk Capital – Risk Engineering.

Job Designation :  Software Engineer – Risk Division Associate

Qualification :  Master’s Degree

Experience : Freshers / Experienced

Skill Set :

1. Strong programming skills and experience with languages, such as C++, Python, R, Matlab.
2. Deep knowledge in statistical modeling, such as regression, time series analysis, machine learning etc.
3. Familiar with options and derivatives pricing theories.
4. Experience with, or keen interest to develop expertise in risk, and capital models.
5. Experience with, or keen interest to develop expertise in financial markets & economics.
6. Excellent written and verbal communication skills.
7. Entrepreneurial, creative, self-motivated, and team-orientated.

Job Description:

Risk Engineering (“RE”), which is part of the Risk Division, is a central part of the Goldman Sachs risk management framework, with primary responsibility to provide robust metrics, data-driven insights, and effective technologies for risk management.

1. Understand financial risk by analyzing pricing, risk and capital model outputs to evaluate, explain and justify features observed in the firm’s market risk data
2. Enhance and manage processes that quantify, review, explain and convey insight for risk and capital measures for a large, diverse set of financial products or activities across the firm. This involves developing and maintaining tools to understand risk & capital metrics at varying levels of aggregation across the firm
3. Provide quantitative and qualitative risk analysis, to estimate financial risk of the firm’s transactions
4. Streamline and automate risk analysis and reporting to enhance the firm’s metric accuracy, timeliness, and availability for stakeholders within and outside of the Risk Division
5. Develop, test, and integrate new/enhanced workflows and write/maintain corresponding documentation
6. Perform anomaly detection on large data sets, investigate root cause, and recommend corrective actions
7. Liaise with groups such as Modelers/Strats, Engineers, Controllers, and Business to understand and explain observations in risk data
8. Build and maintain a comprehensive set of reports and presentations for market risk capital for reporting to regulators, internal risk committees and senior leadership across Risk, Controllers, and the Business
9. Communicate complex ideas with internal/external stakeholders such as risk managers, market making businesses, technology, and senior management.

Location : Bengaluru, Karnataka, India