Senior Quantitative Analyst, Risk Management

Our client, a prominent financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their dedicated Risk Management team. This fully remote position is ideal for a mathematically inclined professional with extensive experience in developing and implementing sophisticated quantitative models for risk assessment and mitigation. You will play a crucial role in designing, validating, and deploying models for credit risk, market risk, operational risk, and portfolio management. The ideal candidate will possess a strong command of statistical modeling, machine learning techniques, programming languages commonly used in finance, and a deep understanding of financial markets and regulatory requirements. This role offers the unique opportunity to contribute to the stability and growth of the organization through robust risk management practices, with the flexibility of working remotely from anywhere in the US.

Responsibilities: Develop, implement, and maintain quantitative models for various risk disciplines (credit, market, operational, liquidity). Perform rigorous backtesting and validation of models to ensure accuracy, reliability, and compliance with regulatory standards. Collaborate with business units to understand risk drivers and translate business needs into quantitative modeling requirements. Analyze large datasets to identify patterns, trends, and potential risks. Utilize advanced statistical and machine learning techniques to build predictive models. Develop and automate reporting dashboards for risk metrics and model performance. Stay abreast of evolving regulatory requirements (e.g., Basel III/IV, CCAR) and industry best practices in quantitative risk management. Communicate complex quantitative concepts and findings clearly to both technical and non-technical stakeholders. Contribute to the ongoing enhancement and optimization of the firm's risk management framework. Mentor junior analysts and contribute to the team's technical expertise.

Qualifications: Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering. Minimum of 6 years of experience in quantitative analysis within the banking or financial services industry. Strong expertise in statistical modeling, time series analysis, econometrics, and machine learning algorithms. Proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB. Experience with risk management frameworks and regulatory compliance in financial institutions. Deep understanding of financial markets, instruments, and risk principles. Excellent analytical, problem-solving, and critical thinking skills. Strong communication and presentation skills, with the ability to explain complex concepts effectively. Ability to work independently and manage multiple priorities in a remote setting. Must be eligible to work remotely from any US location. Join our client and apply your quantitative expertise to safeguard the institution's financial health and drive strategic decision-making.