Risk Analytics is seeking an Associate to support Counterparty Credit Risk Analytics IMM (Internal Models Method) projects and regulatory deliverables as well as other Risk Analytics coverage projects in Asia including Japan. The candidate needs to collaborate within the team and across a range of functional groups to fulfil the deliverables on a timely basis. This is a permanent role.
Primary Responsibilities include, but are not limited to:
1. Conduct research, development, enhancement, and documentation of Asia Risk Analytics methodologies and tools for regulatory and risk management purposes with primary focus on IMM Counterparty Credit Risk
2. Perform analysis including model recalibrations, back-tests, stress tests, scenario, and sensitivity analyses
3. Programming of prototypes/production code (within an established Python library) which will be productionized.
4. Program, test and implement quantitative financial methods using Python, SQL and Excel.
5. Utilize advanced statistics, econometrics and mathematical skills including probability theory, stochastic calculus, Monte Carlo simulation, numerical analysis, optimization techniques and time series analysis
6. Work with Technology on model testing, implementation, and production
7. Collaborate with risk managers and other stakeholders to address their requests and for relevant model enhancements
8. Participate in Regulatory and validation exams by providing documentation and responses to regulators and internal validators
Skills Required
1. 3+ years of work experience in quantitative modelling, risk management, derivative pricing or portfolio analysis. 2. Analytical skills and ability to work with diverse cultures in a global team. 3. Strong knowledge of financial traded products e.g. derivatives and their pricing. 4. Knowledge and hands-on experience in the programming languages such as Python or C++ is preferred. 5. Excellent communication skills (Oral and written) in both Japanese and English. Ability to communicate and present logically, precisely and in simple manner, complex and technical issues.
Required Qualifications
1. Graduate/Under-graduate/Advance degrees in finance, mathematics, physics, econometrics, engineering or other quantitative subjects.
2. Candidates should have a strong theoretical foundation in mathematics, quantitative finance and derivatives.
3. Candidates will have to deal in Python, SQL queries, and MS-Office on daily basis.
Desirable Skillsets
1. FRM, CFA, CQF certification is an advantage. 2. Quantitative model development / validation experience in Finance/Data Science. Knowledge of stochastic processes, financial statistics, and pricing of derivatives. 3. Knowledge of risk mitigation practices and experience with Basel II/III/IV rules will be considered advantageous. 4. Experience in one of the following AI, ML, NLP, Big Data Analytics, Tableau is an advantage.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 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.
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Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo .
