VP, Risk Economics Strats — Quantitative Risk Engineer

Goldman Sachs, Inc.

Utah

On-site

USD 140,000 - 200,000

Full time

14 days+
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Job summary

Goldman Sachs is seeking a Risk Economics Strats professional to develop macroeconomic and financial scenarios, implement statistical models for credit loss forecasting, and analyze large risk data. The role interfaces with multiple divisions globally to drive data-driven insights and robust risk measures.

The RES team balances risk management with commercial performance, offering opportunities to work across challenging projects and advance within a globally connected risk framework.

Qualifications

  • 5+ years of experience in quantitative analysis of credit products, including model development and validation.
  • Strong quantitative and analytical skills with a quantitative degree; Masters preferred.
  • Experience with advanced statistical techniques and time series analysis.
  • Proficiency with SQL, SAS, R, Python; able to mine and analyze large data sets on big data platforms.
  • Background with Basel A-IRB models or regulatory stress testing is a plus.
  • Strong writing, presentation and communication skills; ability to document models clearly.
  • Strong project management and ability to manage multiple assignments concurrently.

Responsibilities

  • Partner with business units to assess modelling approaches and data availability.
  • Design data queries to extract data from systems and analyze portfolio performance.
  • Design and enhance risk models for credit exposures and document procedures.
  • Perform ongoing model monitoring for strength and accuracy.
  • Define data maintenance requirements and collaborate with Technology on implementation.
  • Support portfolio credit loss forecasting and governance by comparing actuals to expectations.
  • Create Loss Forecast reporting using Tableau or similar tools for portfolio segments.
  • Develop analytical reports and presentations for senior management and regulatory exams.

Skills

Quantitative analysis
Statistical modeling
Strong writing/presentation

Education

Masters degree in quantitative field
Bachelor's degree

Tools

SQL
SAS
R
Python
Hadoop
Spark
Snowflake

Job description

Goldman Sachs is seeking a Risk Economics Strats professional to develop macroeconomic and financial scenarios, implement statistical models for credit loss forecasting, and analyze large risk data. The role interfaces with multiple divisions globally to drive data-driven insights and robust risk measures.

The RES team balances risk management with commercial performance, offering opportunities to work across challenging projects and advance within a globally connected risk framework.

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