Risk Analytics Engineer: Market Risk & Core Engineering

Goldman Sachs; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Goldman Sachs is looking for a Market Risk Analytics & Reporting professional within Risk Engineering to deliver critical risk metrics and insights. This role focuses on market risk, building robust workflows and ensuring data quality across regulatory reporting and risk analysis.

The candidate should have 1–5 years of experience in a financial, regulatory, or consulting environment, with strong programming in Python/SQL and familiarity with Tableau or PowerBI for data visualization.

Qualifications

• Masters or Bachelor's degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering.
• Entrepreneurial, analytically creative, self-motivated and team-oriented.
• Excellent written, verbal and team-oriented communication skills.

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 & 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.

Skills

Analytical mindset

Team-oriented

Communication skills

Financial markets knowledge

Education

Masters or Bachelors in quantitative discipline

Tools

Python

SQL

ETL

Tableau

Job description

Goldman Sachs is looking for a Market Risk Analytics & Reporting professional within Risk Engineering to deliver critical risk metrics and insights. This role focuses on market risk, building robust workflows and ensuring data quality across regulatory reporting and risk analysis.

The candidate should have 1–5 years of experience in a financial, regulatory, or consulting environment, with strong programming in Python/SQL and familiarity with Tableau or PowerBI for data visualization.