Risk Analytics Analyst — AI, Data & Validation

Goldman Sachs; Warszawa; On-site; PLN 120,000 - 180,000; Full time

Job summary

Goldman SachsRisk Testing Group (RTG) in Warsaw invites an Analyst to support independent reviews of credit, market and liquidity risks. You will interact with multiple stakeholders and regulators, applying data-driven methods and supporting risk data quality initiatives.

The role offers exposure to financial products, risk management tools, quantification techniques and a wide technology stack in a global firm.

Qualifications

• Bachelor’s degree required. Masters in a quantitative discipline preferred.
• 1-3 years of qualitative and quantitative risk management experience (credit, market and liquidity risk).
• Programming skills with C++ or Python.
• Proficiency in SQL and data analytics tools for querying and analyzing large datasets.

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.

Skills

C++

Python

SQL

Data analytics

Education

Bachelor’s degree in a quantitative discipline

Masters in a quantitative discipline

Job description

Goldman SachsRisk Testing Group (RTG) in Warsaw invites an Analyst to support independent reviews of credit, market and liquidity risks. You will interact with multiple stakeholders and regulators, applying data-driven methods and supporting risk data quality initiatives.

The role offers exposure to financial products, risk management tools, quantification techniques and a wide technology stack in a global firm.