Goldman Sachs Group, Inc.
Quantitative Engineering, Risk Economics Strats, Vice President, Salt Lake City
Goldman Sachs Group, Inc., Salt Lake City, Utah, United States, 84193
Salt Lake City, Utah, United States
Job Description Risk Engineering, 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. Risk Engineering is staffed globally with offices including Salt Lake City, Dallas, New Jersey, New York, London, Warsaw, Bengaluru, Singapore, and Tokyo. As a member of Risk Engineering, you will interface with a variety of divisions around the firm as well as the other regional offices. The interaction with numerous departments and the diverse projects that ensue allow for a challenging, varied and multi-dimensional work environment.
Job Summary & Responsibilities The Risk Economics Strats (RES) team is a central part of the Goldman Sachs risk management framework with primary responsibility for: 1) developing macroeconomic and financial scenarios for firm-wide scenario-based risk management; 2) developing and implementing statistical models for credit loss forecasting, business-as-usual risk management and regulatory stress testing requirements; and 3) analyzing large datasets of risk metrics to extract valuable insights about the firm’s exposures. To fulfill these objectives, Risk Economics Strats interface with a wide array of divisional, finance and risk management groups across the firm. The cross-disciplinary nature of the projects that RES engages in makes for a challenging and multifaceted work environment.
RES professionals are part of the value proposition of the firm, and we balance our key functional responsibility of control and risk management with that of being commercial. RES has strong traditions of risk management, data analytics and career development opportunities for our people.
Responsibilities
Partner with business units and broader Credit department to assess appropriate modelling approaches as well as data availability/sufficiency.
Design and write data queries to extract data from credit systems and conduct analysis of portfolio performance, deep dive analysis of trends, summarize findings and recommend changes.
Design, build, and enhance risk models specific to the credit exposures, and document the model development/quantification procedures.
Perform ongoing model monitoring assessing the strength/stability/accuracy of the models.
Establish requirements for data maintenance and management and work with Technology on implementation.
Provide support for portfolio credit risk loss forecast and governance by tracking the actual performance to expectations.
Create Management Loss Forecast reporting using Tableau or other cutting-edge visual interface-based tools to monitor portfolio performance at portfolio segment level (e.g., product, vintage, risk segment, score band, or marketing channel).
Develop analytical reports and presentations for senior management, executive committees and regulatory exams.
Qualifications
5+ years of experience in quantitative analysis of credit products (loss forecasting, credit rating, pricing models, and/or market analytics) including model development and validation
Strong quantitative and analytical skills with a degree in a quantitative discipline (Statistics, Mathematics, Applied Mathematics, Engineering, etc). Masters degree preferred.
Use complex statistical techniques such as decision trees, regression modeling, machine learning, testing techniques and time series data analysis techniques.
Use statistical packages like SQL, SAS, R, Python etc., tools to mine, manipulate & aggregate complex consumer and transaction level data on big data platforms such as Hadoop, Spark, Snowflake etc.
Background with Basel A-IRB models, risk segmentation systems, regulatory stress testing processes (CCAR, DFAST), and/or portfolio loss forecasting is preferred.
Strong writing, presentation and communication skills; technical writing and model documentation experience desired
Strong project management / organizational skills and the ability to manage multiple assignments concurrently
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.
Benefits We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.
Health
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.
Fitness
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).
Child Care
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.
Benefits at Goldman Sachs
Read more about the full suite of class-leading benefits our firm has to offer.
Learn More
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Job Description Risk Engineering, 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. Risk Engineering is staffed globally with offices including Salt Lake City, Dallas, New Jersey, New York, London, Warsaw, Bengaluru, Singapore, and Tokyo. As a member of Risk Engineering, you will interface with a variety of divisions around the firm as well as the other regional offices. The interaction with numerous departments and the diverse projects that ensue allow for a challenging, varied and multi-dimensional work environment.
Job Summary & Responsibilities The Risk Economics Strats (RES) team is a central part of the Goldman Sachs risk management framework with primary responsibility for: 1) developing macroeconomic and financial scenarios for firm-wide scenario-based risk management; 2) developing and implementing statistical models for credit loss forecasting, business-as-usual risk management and regulatory stress testing requirements; and 3) analyzing large datasets of risk metrics to extract valuable insights about the firm’s exposures. To fulfill these objectives, Risk Economics Strats interface with a wide array of divisional, finance and risk management groups across the firm. The cross-disciplinary nature of the projects that RES engages in makes for a challenging and multifaceted work environment.
RES professionals are part of the value proposition of the firm, and we balance our key functional responsibility of control and risk management with that of being commercial. RES has strong traditions of risk management, data analytics and career development opportunities for our people.
Responsibilities
Partner with business units and broader Credit department to assess appropriate modelling approaches as well as data availability/sufficiency.
Design and write data queries to extract data from credit systems and conduct analysis of portfolio performance, deep dive analysis of trends, summarize findings and recommend changes.
Design, build, and enhance risk models specific to the credit exposures, and document the model development/quantification procedures.
Perform ongoing model monitoring assessing the strength/stability/accuracy of the models.
Establish requirements for data maintenance and management and work with Technology on implementation.
Provide support for portfolio credit risk loss forecast and governance by tracking the actual performance to expectations.
Create Management Loss Forecast reporting using Tableau or other cutting-edge visual interface-based tools to monitor portfolio performance at portfolio segment level (e.g., product, vintage, risk segment, score band, or marketing channel).
Develop analytical reports and presentations for senior management, executive committees and regulatory exams.
Qualifications
5+ years of experience in quantitative analysis of credit products (loss forecasting, credit rating, pricing models, and/or market analytics) including model development and validation
Strong quantitative and analytical skills with a degree in a quantitative discipline (Statistics, Mathematics, Applied Mathematics, Engineering, etc). Masters degree preferred.
Use complex statistical techniques such as decision trees, regression modeling, machine learning, testing techniques and time series data analysis techniques.
Use statistical packages like SQL, SAS, R, Python etc., tools to mine, manipulate & aggregate complex consumer and transaction level data on big data platforms such as Hadoop, Spark, Snowflake etc.
Background with Basel A-IRB models, risk segmentation systems, regulatory stress testing processes (CCAR, DFAST), and/or portfolio loss forecasting is preferred.
Strong writing, presentation and communication skills; technical writing and model documentation experience desired
Strong project management / organizational skills and the ability to manage multiple assignments concurrently
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.
Benefits We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.
Health
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.
Fitness
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).
Child Care
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.
Benefits at Goldman Sachs
Read more about the full suite of class-leading benefits our firm has to offer.
Learn More
#J-18808-Ljbffr