Risk Engineering – Credit Risk Analytics & Reporting 57 views


Risk Engineering (RE) is a central part of the Goldman Sachs risk management framework, with a responsibility to provide robust metrics, data-driven insights, and effective technologies for risk measurement and management. RE is staffed globally with offices including Dallas, New Jersey, New York, Salt Lake City, London, Warsaw, Frankfurt, Bengaluru, Singapore and Tokyo.

As a member of the RE team, you will interface with a variety of divisions around the firm. The interaction with numerous departments and the ensuing diverse projects allow for a challenging, varied and multi-dimensional work environment. As a member of the Analytics and Reporting Team within RE, you will play a key role in providing understanding of and insight into existing and emerging risks to the Firm, highlighting important and topical risk features, facilitating and informing risk management decisions, as well as certifying risk information for use in management, regulatory, and financial reporting. The group is responsible for employing the complete capabilities of Risk Engineering to maximize significance, quality, efficiency, speed, and reliability while ensuring clear accountability and attribution of the analytics produced.


Analyse the risks inherent in the products GS transacts, including lending, trading and derivative products
Assist in quantifying risk calculations for a large, diverse and complex risk portfolio. This involves designing, implementing and executing programmatic tools that query large data sets
Understand and interpret the metrics generated by models in order to perform risk analysis
Design and maintaining a set of controls that ensure the completeness and accuracy of quantitative measures
Monitor, manage and report exposures at a counterpart, product and portfolio level
Perform anomaly detections in large data sets, investigating the cause and recommending corrective actions
Lead and motivate engaged and diverse local team, providing guidance to and supervision of junior members
Interact with various other groups such as risk modellers, technology, trading desks and risk committees to explain the results of calculations and inform risk management decisions
Interact with external regulators and industry bodies

Approximately 8 or more years of experience within a risk management role or other financial analytical backgrounds such as mathematics, physics, statistics or engineering
Must be able to provide direction, training, motivation and career development coaching to an engaged and diverse local team
Must foster a collaborative team environment with an open communication culture
Technology aptitude and programming skills are a plus
Experience or keen interest to develop expertise in derivative products and risk calculation methodologies
Interest in financial markets and risk management, motivated by learning and continuous improvement
Strong written and verbal communication skills
Strong interpersonal skills and ability to build relationships remotely with people from different departments and levels of seniority
Strong organizational skills and the ability to manage multiple assignments concurrently
Ability to work independently, form own judgment/opinions, provide insights and drive change

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