Model Risk Non Financial Risk, Associate, Firm Risk Management

As an Associate in the Model Risk Management Team at Morgan Stanley, you will be responsible for the independent review and validation of models in compliance with MRM policies, regulatory guidance, and industry best practices. Your key responsibilities will include: - Evaluating conceptual soundness, quality of model methodology, model limitations, data quality, and ongoing monitoring of model performance. - Taking initiatives and responsibility for end-to-end delivery of Model Validation and related Model Risk Management deliverables. - Writing model findings in validation documents for internal and external presentations. - Communicating results and debating issues with internal audiences, including senior management. - Representing the MRM team in interactions with regulatory and audit agencies. - Staying informed about financial markets and business trends to enhance the quality of Model Validation and related Risk Management deliverables. To excel in this role, you should possess the following qualifications: - A Masters or Doctorate degree in a quantitative discipline such as Statistics, Mathematics, Physics, Computer Science, or Engineering. - Experience in a Quant role in validation of Models, developments of Models, or a technical role in Financial institutions. - Rich experience with Financial Crime Models, including models for Fraud detection, Anti-money laundering, etc. - 3+ years of relevant work experience in a Model Validation role in a bank or financial institution. - Proficient programming skills in Python; knowledge of other programming languages like R, SQL, MATLAB, etc., is a plus. - Willingness to learn new and complex topics and adapt continuously. - Working knowledge of statistical techniques, quantitative finance, and programming. - Understanding of various complex financial instruments. - Knowledge of popular machine learning techniques. - Desire to work in a dynamic, team-oriented, fast-paced environment focusing on challenging tasks. Additionally, at Morgan Stanley, you can expect a supportive and inclusive environment where you can maximize your full potential. The company values putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back. With a workforce comprised of individuals from diverse backgrounds and experiences, Morgan Stanley is committed to a culture of inclusion and continuous development of its employees. As an Associate in the Model Risk Management Team at Morgan Stanley, you will be responsible for the independent review and validation of models in compliance with MRM policies, regulatory guidance, and industry best practices. Your key responsibilities will include: - Evaluating conceptual soundness, quality of model methodology, model limitations, data quality, and ongoing monitoring of model performance. - Taking initiatives and responsibility for end-to-end delivery of Model Validation and related Model Risk Management deliverables. - Writing model findings in validation documents for internal and external presentations. - Communicating results and debating issues with internal audiences, including senior management. - Representing the MRM team in interactions with regulatory and audit agencies. - Staying informed about financial markets and business trends to enhance the quality of Model Validation and related Risk Management deliverables. To excel in this role, you should possess the following qualifications: - A Masters or Doctorate degree in a quantitative discipline such as Statistics, Mathematics, Physics, Computer Science, or Engineering. - Experience in a Quant role in validation of Models, developments of Models, or a technical role in Financial institutions. - Rich experience with Financial Crime Models, including models for Fraud detection, Anti-money laundering, etc. - 3+ years of relevant work experience in a Model Validation role in a bank or financial institution. - Proficient programming skills in Python; knowledge of other programming languages like R, SQL, MATLAB, etc., is a plus. - Willingness to learn new and complex topics and adapt continuously. - Working knowledge of statistical techniques, quantitative finance, and programming. - Understanding of various complex financial instruments. - Knowledge of popular machine learning techniques. - Desire to work in a dynamic, team-oriented, fast-paced environment focusing on challenging tasks. Additionally, at Morgan Stanley, you can expect a supportive and inclusive environment where you can maximize your full potential. The company values putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back. With a workforce comprised of individuals from diverse backgrounds and experiences, Morgan Stanley is committed to a culture of inclusion and continuous development of its employees.