Quantitative Risk Analytics Engineer

Goldman Sachs Group, Inc.; Greater London; Hybrid; GBP 75,000 - 120,000; Full time

Job summary

Goldman Sachs is seeking a Software Engineer within the Core Engineering division in London. The role focuses on market risk analytics and reporting for Market Risk Analytics & Reporting (A&R).

You will contribute to scalable risk data workflows, ETL processes and visualization tools to support risk metrics for senior management and regulators. Candidates should have a quantitative degree, strong programming skills in Python and SQL, and experience with data visualization tools such as Tableau,

Qualifications

• Masters or Bachelors 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

• Deliver regular and reliable risk metrics, analytics & insights.
• Build robust workflows and procedures around production of risk analytics.

Skills

Python

SQL

Statistics

Time series

Data visualization

C++

Java

Teamwork

Communication

Education

Quantitative degree

Tools

Tableau

Alteryx

PowerBI

Job description

Goldman Sachs is seeking a Software Engineer within the Core Engineering division in London. The role focuses on market risk analytics and reporting for Market Risk Analytics & Reporting (A&R).

You will contribute to scalable risk data workflows, ETL processes and visualization tools to support risk metrics for senior management and regulators. Candidates should have a quantitative degree, strong programming skills in Python and SQL, and experience with data visualization tools such as Tableau,