Model Risk (Risk Management) : Job Level - Associate

Morgan Stanley Global Financial Crime & Fraud Analytics, Model Risk - Associate Profile Description: We're seeking someone to join our team as (Associate - Financial Crime & Fraud Analytics) in (Model Risk) division. Division Overview: In the Firm Risk Management division, we advise businesses across the Firm on risk mitigation strategies, develop tools to analyze and monitor risks and lead key regulatory initiatives. Company Profile Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. At Morgan Stanley India, we support the Firm's global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm's infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there's ample opportunity to move across the businesses for those who show passion and grit in their work. Interested in joining a team that's eager to create, innovate and make an impact on the world? What you'll do in the role: Primary Responsibilities : > 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. Skills preferred: > 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 datasetsWHAT YOU CAN EXPECT FROM MORGAN STANLEY:We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. 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. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. 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.To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.Expected base pay rates for the role will be between $100,000 and $140,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. 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.Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).