Model Risk (Risk Management) : Job Level - Associate at Morgan Stanley

Tokyo, , Japan -

Full Time

Start Date

Immediate

Expiry Date

18 Mar, 26

Salary

0.0

Posted On

18 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Model Validation, Risk Management, Python, Statistical Techniques, Quantitative Finance, Communication, Continuous Learning, Data Quality, Model Performance Monitoring, Financial Instruments, Programming, Mathematical Finance, Derivative Pricing, Numerical Techniques, Collaboration, Regulatory Compliance

Industry

Financial Services

Description

Provide independent review and validation compliant with MRM policies and procedures, regulatory guidance and industry leading practices, including evaluating conceptual soundness, quality of model / tool methodology, model / tool limitations, data quality, and on-going monitoring of model / tool performance Take initiatives and responsibility of end-to-end delivery of a stream of Model and Tool Validation and related Risk Management deliverables Write Model and Tool Review findings in validation documents that could be used for presentations both internally (model and tool developers, business unit managers, Audit, various global Committees) as well as externally (Regulators) Verbally communicate results and debate issues, challenges and methodologies with internal audiences including senior management Represent MRM team in interactions with regulatory and audit agencies as and when required Contribution to validation activities for Asia entities, including oversight of ongoing monitoring performance reviews and regulatory submissions. Collaborate with Global MRM teams, Global Risk Analytics teams, Model Control Officers and Risk Managers to manage model risk across the model lifecycle. Masters or Ph.D. degree (or equivalent) in Finance, Economics, Mathematics, Physics, Engineering, or a related quantitative field Knowledge of mathematical finance, derivative pricing, and numerical techniques 0-3 years of relevant work experience in a bank or financial institution Proficient programmer in Python ; knowledge of other programming languages like R, Scala, MATLAB etc. is preferred The ability to effectively communicate with a wide range of stakeholders, both written and verbally Willingness to learn new and complex topics and adapt oneself (continuous learning) is preferred Working knowledge of statistical techniques, quantitative finance and programming is essential; good understanding of various complex financial instruments is preferred An interest in working in a fast-paced environment, often balancing multiple high priority deliverables. 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. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. 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.

Responsibilities

Provide independent review and validation of models and tools in compliance with MRM policies and regulatory guidance. Collaborate with various teams to manage model risk and communicate findings to stakeholders.