Risk Analytics & AI Validation Analyst

Goldman Sachs; Warszawa; On-site; PLN 180,000 - 240,000; Full time

Job summary

Goldman Sachs is seeking an Analyst for the Risk Testing Group (RTG) in Warsaw to join a multidisciplinary team responsible for independent risk reviews across credit, market, and liquidity risks.

You will perform data-driven analyses, validate data architectures, and help deploy AI and automation solutions to strengthen risk controls.

The role offers collaboration with stakeholders, regulators, and tech partners across geographies, with growth opportunities in quantitative risk.

Qualifications

• Bachelor’s degree required; Masters in a quantitative discipline preferred.
• 1–3 years of qualitative and quantitative risk management experience.
• Programming skills in C++ or Python.
• Proficiency in SQL and data analytics tools.

Responsibilities

• Develop an understanding of firm’s risk management framework, models, methodology, techniques, and processes, aligned with regulatory expectations.
• Perform independent reviews for credit, market, and liquidity risks, and capital frameworks, applying structured analytical and data-driven review methodologies.
• Perform independent validation of data architecture and IT infrastructure, technology systems and platforms, databases, code, data pipelines and data-lineage controls that support risk data aggregation frameworks, in line with BCBS 239 principles.
• Design and deploy generative AI, advanced analytics and automation solutions across the independent validation function, including control testing, data profiling and transaction monitoring.
• Develop and maintain effective stakeholder relationships, and present results to senior management committees and regulators.

Skills

C++

Python

SQL

Data Analytics

Education

Bachelor's degree

Masters in quantitative discipline

Tools

SQL

Job description

Goldman Sachs is seeking an Analyst for the Risk Testing Group (RTG) in Warsaw to join a multidisciplinary team responsible for independent risk reviews across credit, market, and liquidity risks.

You will perform data-driven analyses, validate data architectures, and help deploy AI and automation solutions to strengthen risk controls.

The role offers collaboration with stakeholders, regulators, and tech partners across geographies, with growth opportunities in quantitative risk.