Market Risk Analytics Engineer — Python/SQL

WeAreTechWomen; Birmingham; On-site; GBP 65,000 - 90,000; Full time

Job summary

Goldman Sachs' Market Risk Analytics & Reporting (A&R) within the Risk Division seeks a quantitative analyst to deliver market risk metrics, analytics and reporting for senior leadership, regulators and investors. The role focuses on building scalable workflows and robust data processes to support timely risk insights across market risk domains.

You will collaborate with risk, data, and engineering teams, applying Python, SQL and BI tools to produce accurate, actionable risk views and contribute

Qualifications

• Masters or Bachelors degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering.
• 1-3 years of experience, preferably in financial, regulatory or consulting environment.
• Entrepreneurial, analytically creative, self-motivated and team-oriented.
• Excellent written, verbal and team-oriented communication skills.
• Working knowledge of the financial industry, markets and products and associated non-financial risk.
• Working knowledge of mathematics including statistics, time series analysis and numerical algorithms.
• Experience with programming in Python and SQL for ETL operations and data analysis (including performance optimization). Experience in using languages such as R, Java, C++ is beneficial.
• Experience in developing data visualization and BI solutions using Tableau, Alteryx, PowerBI, and front-end technologies.

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

Python

SQL

ETL

Time series analysis

Data visualization

Analytical thinking

Team collaboration

Communication

Education

Master's or Bachelor's degree in quantitative discipline

Tools

Tableau

PowerBI

Alteryx

Excel

Job description

Goldman Sachs' Market Risk Analytics & Reporting (A&R) within the Risk Division seeks a quantitative analyst to deliver market risk metrics, analytics and reporting for senior leadership, regulators and investors. The role focuses on building scalable workflows and robust data processes to support timely risk insights across market risk domains.

You will collaborate with risk, data, and engineering teams, applying Python, SQL and BI tools to produce accurate, actionable risk views and contribute