Quantitative Engineering, Risk Economics Strats, Vice President, Salt Lake City

Salt Lake, UT - USA

Monthly Salary: Not Disclosed

Posted on: 18 hours ago

Vacancies: 1 Vacancy

Job Summary

Description

Risk Engineering

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 firms 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.

Were committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Experience:

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DescriptionRisk EngineeringRisk 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 globa...