Morgan Stanley

Director - Model Risk (Risk Management)

Posted On

June 7, 2024

Location

Mumbai, Maharashtra

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

July 3, 2024

Job Description

Company Profile:

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm’s employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.

Firm Risk Management

Firm Risk Management (FRM) supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, model and other risks.

Department Profile

The 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.

Morgan Stanley' s Model Risk Management (MRM) department resides within Morgan Stanley' s Firm Risk Management Division. Morgan Stanley' s global MRM team, spread across New York, London, Mumbai and Budapest is broadly responsible for the risk management of all of the Firm' s models involving model validation, risk assessment, and governance and act as an effective second line of defense within the Firm.

Primary Responsibilities
- Liaise with business users across locations to understand/ document business requirements, detail the use cases & propose solution options for automation
- Own deliverables across the automation journey to ensure the automation use cases and scenarios are properly documented & analysed
- Develop & deliver process automations using RPA tools like UI Path & other automation toolkits available at Morgan Stanley
- Work with multiple stakeholders for prioritisation and tracking of requirements
- Design solutions which are flexible to incorporate changes and are scalable
- Own product roadmaps, create & manage project plans, call out risks & issues proactively, report progress against the plan & track associated project benefits
- Ability to wear multiple hats including but not limited to Business Analyst, Software Developer, UI Path Developer, Project Manager, Tester & Business user
- Monitors and measures the effectiveness of the automation (tech solutions) and creates reports on impact of these
- Support execution of reviews (e.g., planning, documenting, reporting) and continuous monitoring activities (e.g., risk assessments);
- Contribute to improving the team's validation methodology and execution capabilities

Skills Required
- Bachelor's or higher degree in Finance, Economics, Computer Science, Mathematics, Engineering or other business or risk management related area
- Strong understanding banking regulatory environment, including familiarity with Bank of International Settlements (BIS) principles (e.g., Basel III, BCBS 239, FRTB) and FRB Capital Planning requirements and practices (e.g., CCAR, DFAST) is preferred.
- Experience with core banking, investment and trading products, and banking regulations (e.g., FRB SR 11-07, SR 12-17, SR 14-08, SR 15-18, PRA SS1/23) is preferred.
- Knowledge and experience with data analytics and data visualization tools and systems
- Proficient in Python3 and its package development and data analysis package ecosystem.
- Proficient in SQL. Experience with RDBMS and other types of database management systems.
- In-depth knowledge and experience in implementation of RPA Life Cycle
- Strong understanding of git and the software development lifecycle.
- Track record of developing Continuous Integration and Continuous Development pipelines.
- Demonstrated experience in all phases of the RPA life cycle - requirements capture, definition & solution design, architecture design, build, configuration, testing and operational transition.
- Experience with RPA best practices such as package development, Test Driven Development (TDD), design patterns, and code reviewing.
- Experience with Linux and the command line. Navigating the file system, background, and foreground processes, rc files and environment variables.
- Demonstrated experience in delivering Machine Learning & Artificial Intelligence use cases for Banking/ Finance industry.
- General knowledge of process improvement frameworks.
- A commitment to teamwork.
- Ability to prioritize and manage multiple competing objectives.

“Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents".

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