VP Model Risk Predictive Modelling

Job Description

Mumbai Model Risk Management Machine Learning Quant - VPCompany ProfileMorgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firms employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.Department ProfileThe cornerstone of Morgan Stanley s risk management philosophy is the execution of risk-adjusted returns through prudent risk-taking that protects Morgan Stanley s capital base and franchise. Risk Management protects the firm from exposure to losses resulting from market volatilities and defaults by our lending and trading counterparties.Position Overview:Morgan Stanley is seeking a Vice President to join a fast-growing team in Model Risk Management, within Firm Risk and help manage a new team responsible for the review, validation, and risk assessment of models used in Wealth Management.These high-visibility positions will be important strategic additions to a global team, focusing on the model risk oversight of Wealth Management models. These award-winning models use sophisticated Statistics and Machine Learning techniques.Primary ResponsibilitiesEngage in quantitative model review and risk assessment of Wealth Management models.Write model risk management findings in technical documents that will be presented both internally (model developers, business unit managers) as well as to regulators.Verbally communicate results and debate issues, concerns and methodologies with internal audiences including senior management in Firm Risk ManagementCoordinate team s tasks and escalate issues in a timely manner.Perform and validation of predictive models in a variety of asset classes and product categoriesParticipate in ongoing statistical/machine learning/deep learning research initiativesDevelop computer code in R/Python/Perl or similar languages and interface with Firm s databases to support above mentioned initiativesWork on Bank Model Risk projects and analysesQUALIFICATIONSSkills Required:Possess Bachelors, Masters or Doctorate degree in a technical or quantitative-finance areaEstablish and manage a team of quantitative professionals providing independent review and risk management of Wealth Management models5+ years experience with quantitative modelling preferably in banks or large financial institutionExpert knowledge of predictive modeling (Linear / non-Linear regression, propensity models, Statistical / Machine Learning, etc.)Strong programming (Python, C/C++, R etc.)Experience with statistical/mathematical packages (R, Matlab, Mathematica, etc.)Advanced problem solvingHave experience using popular Machine Learning or Deep Learning techniques in Python.Have strong written and verbal communication skills; be comfortable debating issues and making formal presentations.Have desire to work in a dynamic, team-oriented environment focusing on concerning tasks mixing fundamental, quantitative and market-oriented knowledge and skills., Skills DesiredExperience working in financial modelling, model risk, model control, or similar function in an investment bank or large financial institutionExperience with bank products such as: residential mortgages, CRE, wholesale lending, and depositsMachine Learning, Deep Learning, PythonExperience working with data visualization packages (Tableau, QlikView)Sound understanding of the key concepts of Deep Learning (DL) and experience of applying relevant DL techniques in large datasetsGood organizational skills

Keyskills :
risk managementrisk assessment machine learningsenior management wealth managementfinancial services data visualizationproduct c