Goldman Sachs Group, Inc.
Risk-Salt Lake City-Liquidity Risk Analytics and Reporting
Goldman Sachs Group, Inc., Salt Lake City, Utah, United States, 84193
A&R is responsible for reviewing, publishing, interpreting and communicating the firm’s independent and authoritative risk & capital measures, which includes:
Understanding financial & non-financial risk by analyzing risk & capital metrics (e.g. VaR, stress tests, operational resilience, etc.) to evaluate, explain and justify features & emerging trends observed in the Firm’s risk data.
Liaising with groups such as Modelers/Strats, Technologists, Trading & Investing businesses, Operations & Controllers to understand & explain observations in risk data.
Document & communicate the firm’s latest risk insights and explain in the context of macro and micro market events and the broader industry operating environment.
Follow up-to-date events that impact the financial markets and the firm’s operating environment and analyze their impact on the firm’s risk exposure.
Develop engaging online content to communicate curated risk insight 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.
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.
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.
Preferred Qualifications:
Experience working in areas of Funding, Treasury or Liquidity Risk management at a financial services organization or a large consulting firm.
Delivering risk information through data analytics or building visualizations using SQL, Tableau, Alteryx, Python is desirable.
Good understanding of regulatory landscape (e.g., Reg YY, LCR, NSFR, PRA110, ALMM, Recovery/Resolution Plan etc.) and exposure to liquidity risk frameworks related to deposits, unsecured/secured funding, derivatives or prime brokerage.
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.
Exposure to Liquidity Risk and/or Corporate Treasury data.
Masters or Bachelors degree in a quantitative discipline such as financial engineering, economics, mathematics, physics, econometrics or engineering.
Practical knowledge of mathematics and numerical algorithms, including statistics and time series analysis.
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, pricing, risk and capital models.
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.
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Understanding financial & non-financial risk by analyzing risk & capital metrics (e.g. VaR, stress tests, operational resilience, etc.) to evaluate, explain and justify features & emerging trends observed in the Firm’s risk data.
Liaising with groups such as Modelers/Strats, Technologists, Trading & Investing businesses, Operations & Controllers to understand & explain observations in risk data.
Document & communicate the firm’s latest risk insights and explain in the context of macro and micro market events and the broader industry operating environment.
Follow up-to-date events that impact the financial markets and the firm’s operating environment and analyze their impact on the firm’s risk exposure.
Develop engaging online content to communicate curated risk insight 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.
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.
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.
Preferred Qualifications:
Experience working in areas of Funding, Treasury or Liquidity Risk management at a financial services organization or a large consulting firm.
Delivering risk information through data analytics or building visualizations using SQL, Tableau, Alteryx, Python is desirable.
Good understanding of regulatory landscape (e.g., Reg YY, LCR, NSFR, PRA110, ALMM, Recovery/Resolution Plan etc.) and exposure to liquidity risk frameworks related to deposits, unsecured/secured funding, derivatives or prime brokerage.
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.
Exposure to Liquidity Risk and/or Corporate Treasury data.
Masters or Bachelors degree in a quantitative discipline such as financial engineering, economics, mathematics, physics, econometrics or engineering.
Practical knowledge of mathematics and numerical algorithms, including statistics and time series analysis.
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, pricing, risk and capital models.
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.
#J-18808-Ljbffr