Risk Analytics (IRB Credit Rating Model), Director, Firm Risk Management) at Morgan Stanley

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

0.0

Posted On

08 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Modeling, Risk Management, Data Science, Statistical Techniques, Financial Regulations, Communication Skills, Attention to Detail, AI, ML, NLP, Big Data Analytics, PowerBI, Programming, Econometric Analyses, Model Improvement, Stress Testing, Scenario Analyses

Industry

Financial Services

Description

Morgan Stanley IRB credit Rating Model - Director Profile Description We’re seeking someone to join our team as a Director in Risk Analytics (IRB Credit Rating Model) team Firm Risk Management 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. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you’ll do in the role: Responsibilities • Quickly develop a deep understanding of Morgan Stanley's credit risk analytics models. • Participate in research, development, and implementation of credit risk models • Perform econometric analyses to support methodology development • Support backtesting, stress testing, scenario analyses and sensitivity studies • Analyze model changes and perform data analyses for various purposes including model improvement • Partner with teams across Risk Analytics, technology, model risk management, credit risk officers and other teams throughout FRM and the Firm. • Own modeling efforts for credit risk modelling in Mumbai What you’ll bring to the role: Skills required (required / preferred) • 0-10 years of work experience in quantitative modeling, Risk Management, algorithmic trading, global markets or any other quantitative/Data Science field. • Prior analytics work experience in a bank credit-related department. Examples include lending or trading analytics. • The candidate needs to be familiar with statistical techniques viz. Regressions Analysis, Hypothesis testing et al. • Understanding of financial institutions regulatory frameworks. Examples include IRB, CECL, CCAR, Dodd-Frank and Basel. • Strong quantitative and analytical skills and ability to work with diverse cultures in a global team. • Knowledge and hands-on experience in one of the programming languages R, Python, MATLAB, SQL, C# or C++ is strongly preferred. • Excellent communication skills (Oral and written). Ability to communicate and present logically, precisely and in simple manner, complex and technical issues. • Attention to details and ability to work under pressure and cope with a fast moving environment. • PRM/FRM, CFA, CQF certification is an advantage. • Experience in AI, ML, NLP, Big Data Analytics, PowerBI is an advantage. Required Qualifications - Graduate/ Postgraduate/ Advanced degree in Finance, Mathematics, Econometrics, Engineering, or other Quantitative subjects. WHAT 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. 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.

Responsibilities

The role involves developing a deep understanding of credit risk analytics models and participating in the research, development, and implementation of these models. Additionally, the candidate will support backtesting, stress testing, and collaborate with various teams across the organization.