Senior Quantitative Analyst, Risk Modeling

About the Role Our client, a growing financial institution, is seeking a dedicated Senior Quantitative Analyst specializing in Risk Modeling to join their team. This role, based remotely, will focus on developing, validating, and implementing sophisticated risk models that are crucial for strategic decision-making, regulatory compliance, and portfolio optimization. The ideal candidate will have a strong quantitative background and a deep understanding of statistical modeling, machine learning, and financial risk principles.

This is an excellent opportunity to contribute to a key function within a dynamic organization, offering full remote flexibility for professionals in the **San Antonio, Texas** area and beyond.

Key Responsibilities

Develop, implement, and maintain quantitative models for credit risk, market risk, or operational risk. Validate existing risk models to ensure their accuracy, stability, and compliance with regulatory standards. Perform rigorous statistical analysis and back-testing of model performance.

Collaborate with business units and IT teams to integrate models into production systems. Prepare detailed documentation of model design, methodologies, and results. Present findings and model performance reports to senior management and regulatory bodies.

Stay current with advancements in quantitative finance, machine learning, and risk modeling techniques. Contribute to the development of data infrastructure and analytics capabilities. Ensure models comply with internal policies and external regulations.

Requirements

Master's or Ph.D. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field. Minimum of 5 years of experience in quantitative finance, risk management, or statistical modeling, specifically in developing and validating risk models. Proficiency in programming languages such as Python, R, or C++.

Strong knowledge of statistical modeling, machine learning algorithms, time series analysis, and econometrics. Experience with financial data analysis and modeling tools. Excellent analytical, problem-solving, and critical thinking skills.

Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly. Ability to work effectively in a fully remote work environment. Familiarity with regulatory requirements (e.g., Basel III, CCAR) is a plus.

Benefits

Competitive annual salary of dollars. Performance-based bonus incentives. Comprehensive health, dental, and vision insurance. 401(k) savings plan with company match. Generous paid time off and holidays. Opportunities for continuous learning and professional development. A fully remote work arrangement, offering significant flexibility. Potential for career growth within a data-driven organization.