Dallas Market Risk Analytics Associate, Core Engineering

Goldman Sachs; Dallas (TX); On-site; USD 130,000 - 170,000; Full time

Job summary

Goldman Sachs in Dallas seeks an Associate for Core Engineering, Market Risk Analytics to deliver key risk metrics and insights. You will help build scalable workflows and ensure data quality across risk domains, supporting regulatory reporting and leadership decisions.

The role requires a quantitative degree, strong Python/SQL skills, and collaboration with risk teams. This is a high‑impact position at a leading global firm offering broad exposure to risk analytics capabilities.

Qualifications

• Masters or Bachelors in a quantitative discipline (data science, mathematics, econometrics, CS or engineering).
• Entrepreneurial, analytically creative, self-motivated and team-oriented.
• Excellent written, verbal and team-oriented communication skills.
• Working knowledge of financial markets and risk products.
• Mathematics knowledge including statistics, time series and numerical algorithms.
• Python and SQL for ETL and data analysis; knowledge of R/Java/C++ is beneficial.
• Experience in data visualization with Tableau/PowerBI and BI tools.

Responsibilities

• Deliver regular and reliable risk metrics and analytics across markets and risk domains.
• Build scalable workflows and procedures for risk analytics and regulatory reporting.
• Attest to the quality, timeliness and completeness of underlying data.
• Provide insights to senior stakeholders on market risk and risk capital.
• Collaborate with risk teams and engineering to improve data pipelines.

Skills

Analytical mindset

Team collaboration

Excellent communication

Problem solving

Time management

Python

SQL

ETL

Tableau

PowerBI

Data analysis

Time series

Mathematics

Education

Masters or Bachelors in quantitative discipline

Data science / statistics background

Tools

Python

SQL

Tableau

PowerBI

ETL processes

R

C++

Job description

Goldman Sachs in Dallas seeks an Associate for Core Engineering, Market Risk Analytics to deliver key risk metrics and insights. You will help build scalable workflows and ensure data quality across risk domains, supporting regulatory reporting and leadership decisions.

The role requires a quantitative degree, strong Python/SQL skills, and collaboration with risk teams. This is a high‑impact position at a leading global firm offering broad exposure to risk analytics capabilities.