Risk-Bengaluru-Associate-Analytics & Reporting

The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm.

Analytics & Reporting is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group is responsible for reviewing, publishing, explaining, analyzing & communicating the firm’s risk & capital metrics.

More broadly, Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering, as a whole, is responsible for designing, implementing, executing, reviewing, interpreting, explaining and communicating risk & capital metrics used to independently ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital.

For further context, Risk Engineering is organized into the following subgroups:

• Analytics & Reporting
• Risk Strategists
• Risk Applications Platform & Data (RAPD)
• Risk Architecture

Responsibilities 

A&R are responsible for reviewing, publishing, interpreting and communicating the firm’s independent and authoritative risk & capital measures, which includes:

• Developing & maintaining engaging approaches to share curated risk insights through interactive dashboard tools.
• Enhancing and managing processes that quantify, review, explain & convey insight for risk & capital measurements for a large, diverse set of financial products or activities covering the whole Firm. Either on an activity by activity basis or in aggregate.
  • This involves developing and utilizing tools & signals to assist understanding risk & capital metrics, at varying levels of aggregation across the Firm, in order to discover insight while ensuring metrics continue to operate in line with intent.
• Understanding financial & non-financial risk by analyzing pricing, risk & capital model outputs to evaluate, explain and justify features observed in the Firm’s risk data.
• Automation engineering to improve control, reduce operational risks & costs and enhance the Firm’s metric timeliness & availability increasing awareness of significant risks
• Testing, developing & integrating new/updated workflows and documentation
• Providing independent risk & capital metric process consulting for new or existing business activities in the Firm.
• Liaising with groups such as Modelers/Strats, Technologists, Trading & Investing businesses, Operations & Controllers to understand & explain observations in Risk data.
• Coordinating with firm internal governing bodies such as Risk Committees and executive members of the firm
• Interacting with firm external governing bodies such as external regulators and industry bodies

Qualifications, Skills & Aptitude 

Eligible candidates are preferred to have the following skills and aptitude:

• Entrepreneurial, creative, self-motivated and team-orientated
• Excellent written and verbal communication skills.
• Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics or engineering.
• Practical knowledge of mathematics and numerical algorithms, including statistics and time series analysis.
• Practical knowledge of analytics tools and technologies such as Excel, SQL, Tableau, Alteryx.
• Experience with, or keen interest to develop expertise in, programming skills with various languages such as Python, HTML, Javascript and/or C++.
• Experience with, or keen interest to develop expertise in, development of risk analytics, interpretation & productivity tools for cultivating insights into risk & capital metric data.
• Experience with, or keen interest to develop expertise in, financial markets & economics

Opportunities 

In performing the job function, you will have the following opportunities:

• Work in a dynamic & highly creative teamwork and consensus-orientated environment
• Exposure to industry leading market data, pricing and risk & capital models for all activities the Firm engages in.
• Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations across the firm and advanced approximation techniques for risk measurements.
• Exposure to large volumes of data (a.k.a ‘Big Data’) and the tools & techniques to interact with, and determine meaningful interpretations of, such data.
• Development of quantitative and programming skills
• Development of economic, financial product and market knowledge.
• Engagement in critical internal risk management activities, and provision of data to both internal and external clients & Firm governing bodies
• Opportunities to work with senior members of the Firm and a wide variety of groups across all areas of the Firm.

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. 

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