Senior Quantitative Risk Analyst

Our client, a prestigious financial institution in Austin, Texas, US , is seeking a highly skilled Senior Quantitative Risk Analyst to join their growing risk management department. This role offers a hybrid work model, allowing for a blend of remote flexibility and in-office collaboration. You will play a critical role in developing, implementing, and maintaining sophisticated quantitative models to measure, monitor, and manage various types of financial risk, including market risk, credit risk, and operational risk. The ideal candidate possesses a strong academic background in a quantitative discipline, extensive experience in financial modeling and risk assessment, and proficiency in programming languages commonly used in quantitative finance.

Key Responsibilities: Design, develop, and validate complex quantitative models for risk assessment and measurement across different financial products and portfolios. Implement and maintain risk models using programming languages such as Python, R, or C++. Analyze large datasets to identify risk patterns, trends, and potential vulnerabilities. Perform stress testing and scenario analysis to evaluate the resilience of the institution's financial position under adverse market conditions. Contribute to the development and enhancement of risk reporting frameworks and dashboards for senior management and regulatory bodies. Collaborate with trading desks, portfolio managers, and technology teams to integrate risk management solutions. Stay abreast of industry best practices, regulatory changes, and emerging trends in quantitative risk management. Document model methodologies, assumptions, and limitations thoroughly. Conduct independent research to identify new analytical approaches and tools for risk management. Qualifications: Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, or Economics. A minimum of 4 years of relevant experience in quantitative risk management, financial modeling, or a related quantitative role within the financial services industry. Strong programming skills in Python and/or R, with experience in data manipulation and statistical analysis libraries. Proficiency in SQL for data extraction and manipulation. In-depth understanding of financial markets, instruments, and various risk types (market, credit, operational). Experience with statistical modeling techniques, time series analysis, and machine learning algorithms. Excellent problem-solving abilities and a keen analytical mindset. Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Familiarity with regulatory requirements (e.g., Basel III, Dodd-Frank) is a plus. Join a collaborative team where your analytical expertise will directly contribute to safeguarding the institution's financial health. This position requires you to be based in or near Austin, Texas, US , with a hybrid work arrangement.