Market Risk Analytics Engineer - Analyst

Goldman Sachs Bank AG; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Goldman Sachs in London is seeking a Software Engineer - Analyst/Associate within the Markets Risk Analytics & Reporting group. You will help produce regulatory and risk metrics, focusing on market risk, and build scalable analytics workflows.

Strong programming and data visualization skills are essential. The role requires 1-5 years of relevant experience, with a quantitative degree and collaboration across risk and engineering teams.

Qualifications

• Masters or Bachelors degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering.
• Strong analytical and numerical reasoning with the ability to model complex problems.
• Experience applying Python and SQL for data analysis and ETL tasks.
• Familiarity with data visualization tools like Tableau/PowerBI.

Responsibilities

• Deliver regular and ad hoc risk metrics and analytics for market risk.
• Develop scalable data workflows and reporting processes for risk analytics.
• Validate data quality and ensure timely, accurate risk reporting.
• Collaborate with cross-functional teams to translate business needs into analytics solutions.
• Contribute to front-end and BI solutions to support risk insights.

Skills

Analytical thinking

Team collaboration

Communication skills

Problem solving

Entrepreneurial mindset

Education

Masters or Bachelors in quantitative field

Tools

Python

SQL

R

Java

C++

Tableau

Alteryx

PowerBI

Job description

Goldman Sachs in London is seeking a Software Engineer - Analyst/Associate within the Markets Risk Analytics & Reporting group. You will help produce regulatory and risk metrics, focusing on market risk, and build scalable analytics workflows.

Strong programming and data visualization skills are essential. The role requires 1-5 years of relevant experience, with a quantitative degree and collaboration across risk and engineering teams.