Risk Analytics Software Engineer – Market Data Insights

Goldman Sachs Bank AG; Birmingham; Hybrid; GBP 60,000 - 95,000; Full time

Job summary

Goldman Sachs in Birmingham is seeking a Software Engineer - Analyst in Market Risk Analytics & Reporting. You will join a multidisciplinary team delivering risk metrics and analytics across market risk domains, building scalable data workflows and front-end tools for risk insights.

The role requires a quantitative degree and 1-3 years’ experience, with Python and SQL programming, ETL work, and familiarity with data visualization tools such as Tableau or Power BI.

Qualifications

• Masters or Bachelors degree in a quantitative discipline.
• 1-3 years of experience in finance, regulatory or consulting environment.
• Strong programming in Python and SQL for ETL and analytics; familiarity with R/Java/C++ is a plus.

Responsibilities

• Deliver regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and client activities.
• Building robust, systematic & efficient workflows 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

Python

SQL

Tableau

PowerBI

Analytical skills

Communication skills

Quantitative background

Education

Masters or Bachelors in quantitative discipline

Tools

R

Java

C++

Job description

Goldman Sachs in Birmingham is seeking a Software Engineer - Analyst in Market Risk Analytics & Reporting. You will join a multidisciplinary team delivering risk metrics and analytics across market risk domains, building scalable data workflows and front-end tools for risk insights.

The role requires a quantitative degree and 1-3 years’ experience, with Python and SQL programming, ETL work, and familiarity with data visualization tools such as Tableau or Power BI.