Vice President, Reporting Architecture, Risk Engineering

Goldman Sachs, Inc.; Dallas (TX); On-site; USD 180,000 - 340,000; Full time

Job summary

Goldman Sachs, Inc. Analytics & Reporting (A&R) within Risk Engineering seeks a senior professional to deliver risk metrics and analytics across market, credit, liquidity, and regulatory reporting. You will build scalable workflows for robust risk insights and manage data quality across teams.

The role emphasizes quantitative expertise, data visualization, and BI tool proficiency to support leadership, regulators, and stakeholders with timely risk information.

Qualifications

• Masters or Bachelors in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering.
• Entrepreneurial, analytically creative, self-motivated and team-oriented.
• Excellent written, verbal and team-oriented communication skills.
• Experience in developing data visualization and business intelligence solutions using Tableau, Alteryx, PowerBI and front-end tools.
• Working knowledge of the financial industry, markets and products and associated non-financial risk.
• Working knowledge of mathematics including statistics, time series analysis and numerical algorithms.
• Experience with ETL operations and data analysis using Python, Java, SQL and R.
• VP level with significant financial risk industry experience.

Responsibilities

• Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm's businesses and its client activities.
• Building robust, systematic workflows and procedures around the production of risk analytics for financial and non-financial risk, risk capital and regulatory reporting.
• Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics.
• Developing scalable data visualization and BI solutions to support risk decision making.
• Collaborating with cross-functional teams to ensure accurate risk reporting and insights.

Skills

Data visualization

BI tools

Analytical thinking

Teamwork

Communication

Python

Java

SQL

R

ETL

Education

Masters or Bachelors in quantitative discipline

Tools

Tableau

Alteryx

PowerBI

Front-end technologies

Job description

Job Description

Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm's senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm's risk profile allowing them to take actionable and timely risk management decisions.

Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders.

Role Responsibilities

A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools.

A&R has a unique vista point in the firm's risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights. The following are core responsibilities for A&R:

Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm's businesses and its client activities.

Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting.

Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics.

Qualifications, Skills & Aptitude

Eligible candidates are preferred to have the following:

Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering.

Entrepreneurial, analytically creative, self-motivated and team-oriented.

Excellent written, verbal and team-oriented communication skills.

Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages.

Working knowledge of the financial industry, markets and products and associated non-financial risk.

Working knowledge of mathematics including statistics, time series analysis and numerical algorithms.

Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C , SQL and R.

[Vice President] 5 years of financial risk industry experience.