Model Risk (Risk Management) : Job Level - Associate

> Provide independent review and validation compliant with Model Risk Management policies and procedures, regulatory guidance and industry leading practices, including evaluating conceptual soundness, quality of modeling methodology, model limitations, data quality, and on-going monitoring for models > Take initiatives and responsibility of end-to-end delivery of a stream of Model Risk Management related deliverables > Follow financial markets & business trends on a frequent basis to enhance the quality of Model Risk Management. > Write Model Risk Management findings in validation documents that could be used for presentations both internally (model developers, business unit managers) as well as externally (regulators). > Verbally communicate results and debate issues, challenges and methodologies with internal audiences including senior management > Represent Model Risk Management team in interactions with regulatory and audit agencies as required What you'll bring to the role: > Masters or Doctorate degree in a quantitative discipline such as Statistics, Mathematics, Physics or Engineering > Experience in a Quant role in Model Risk > 6+ years of relevant work experience in a Model Risk Quant role in a bank or financial institution > Good understanding of financial instruments > Knowledge of popular machine learning techniques > Proficient programmer in Python > Relevant professional certifications like CQF, CFA or progress made towards it are preferred > Strong written & verbal communication skills including debating issues and making formal presentations > Desire to work in a dynamic, team-oriented, fast-paced environment focusing on challenging tasks mixing fundamental, quantitative and market-oriented knowledge and skills. > Data science, Machine Learning / Deep Learning > Experience working with data visualization packages in Python >Sound understanding of the key concepts of Deep Learning (DL) and experience of applying relevant DL techniques in large datasets > Masters or Doctorate degree in a quantitative discipline such as Statistics, Mathematics, Physics or Engineering > Experience in a Quant role in Model Risk > 6+ years of relevant work experience in a Model Risk Quant role in a bank or financial institution > Good understanding of financial instruments > Knowledge of popular machine learning techniques > Proficient programmer in Python > Relevant professional certifications like CQF, CFA or progress made towards it are preferred > Strong written & verbal communication skills including debating issues and making formal presentations > Desire to work in a dynamic, team-oriented, fast-paced environment focusing on challenging tasks mixing fundamental, quantitative and market-oriented knowledge and skills. > Data science, Machine Learning / Deep Learning > Experience working with data visualization packages in Python >Sound understanding of the key concepts of Deep Learning (DL) and experience of applying relevant DL techniques in large datasets Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. Salary range for the position: $80,000 - $115,000 Yr. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit's incentive compensation plan, which also may include a discretionary bonus component. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.