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$174,600–$230,700.
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About Goldman Sachs
Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.
Goldman Sachs currently has
81 open roles
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Listed pay typically runs
$130,000–$250,000
across 37 roles with salary data.
JOB TITLE: The Core Engineering, Market Risk Analytics, Associate, Dallas
The Market Risk Analytics & Reporting group within Core Engineering is responsible for producing independent risk and capital metrics to ensure the firm adheres to its risk appetite. This role focuses on Market Risk, where you will build robust, systematic workflows and procedures to deliver actionable risk insights. You will produce regular risk metrics and analytics based on a deep understanding of client activities while attesting to the quality and completeness of underlying data. Key responsibilities include managing data flows for regulatory reporting and risk capital. Required skills include proficiency in Python and SQL for ETL operations and data analysis, with beneficial experience in R, Java, or C++. You should also possess experience with Tableau, Alteryx, or PowerBI to develop data visualization and business intelligence solutions.
Deliver regular and reliable risk metrics, analytics, and insights based on firm business activities.
Build robust, systematic, and efficient workflows for producing risk analytics and regulatory reporting.
Attest to the quality, timeliness, and completeness of data used for risk analytics.
Perform ETL operations and data analysis using Python and SQL.
Develop data visualization and business intelligence solutions using tools like Tableau or PowerBI.
Model, produce, and interpret risk and capital metrics to ensure adherence to risk appetite.
Communicate risk and capital metrics to the Chief Risk Officer and other firm stakeholders.
What we're looking for
Bachelor's or Master's degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science, or engineering (preferred).
1-5 years of experience, preferably in a financial, regulatory, or consulting environment (preferred).
Working knowledge of the financial industry, markets, products, and associated non-financial risk (preferred).
Working knowledge of mathematics including statistics, time series analysis, and numerical algorithms (preferred).
Experience with programming in Python and SQL for ETL operations and data analysis, including performance optimization (preferred).
Experience in using languages such as R, Java, or C++ (preferred).
Experience in developing data visualization and business intelligence solutions using tools such as Tableau, Alteryx, PowerBI, and front-end technologies (preferred).
Excellent written, verbal, and team-oriented communication skills (preferred).
SQL
Python
R
SAS
Oracle
AWS
Azure
GCP
Apache Airflow
Tableau
Qlik Sense
CI/CD
Data Engineering
Machine Learning
Statistical Modeling
Data Orchestration
Data Visualization
Time-Series Forecasting
Predictive Analytics