1 month ago

Director, Risk Analytics Internal Models Method

Morgan Stanley

On Site
Full Time
$200,000
Mumbai, Maharashtra, India
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Job Overview

Job TitleDirector, Risk Analytics Internal Models Method
Job TypeFull Time
Offered Salary$200,000
LocationMumbai, Maharashtra, India

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Job Description

Director, Risk Analytics Internal Models Method

We’re seeking someone to join our team as an Director in Risk Analytics team. In the Firm Risk Management division, we advise businesses across the Firm on risk mitigation strategies, develop tools to analyse and monitor risks and lead key regulatory initiatives.

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

  • Build, transform and implement models for exposure calculations along all asset classes. This includes research, development, enhancement, and documentation of IMM Counterparty credit risk methodologies and tools for regulatory and risk management purposes.
  • Develop and implement ongoing monitoring and tracking methods for different key metrics.
  • Perform analysis including model recalibrations, back-tests, stress tests, scenario, and sensitivity analyses.
  • Programming of prototypes (within an established Python library) which will be productionized.
  • Support the risk management teams with information and analysis, executing investigation on unexpected or irregular behavior of market simulation or pricing models.
  • Work with Technology on model testing, implementation, and production.
  • Produce ad hoc deliverables and reporting materials.

What You’ll Bring To The Role

  • MSc. or PhD in mathematical finance, mathematics, physics, statistics, engineering, computer science, informatics or similar quantitative area.
  • Solid mathematical foundations, especially probability theory and statistics.
  • Strong analytical and problem-solving skills.
  • Advanced statistics, econometrics and mathematics skills including probability theory, stochastic calculus, monte carlo simulation, optimization techniques.
  • Strong knowledge of financial traded products e.g. derivatives and their pricing.
  • Knowledge and hands-on experience in one of the programming languages Python, MATLAB, C# or C++.
  • Self-motivated personality with high standards for quality of work and accuracy, and attention to details.
  • Excellent communication skills (Oral and written). Ability to communicate and present logically, precisely and in simple manner, complex and technical issues.
  • Ability and willingness to work with virtual teams across the regions contributing to common goals.
  • Aptitude to work in a fast-paced, high energy level environment.

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.

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.

Key skills/competency

  • Risk Analytics
  • Internal Models Method
  • Director
  • Morgan Stanley
  • Firm Risk Management
  • Quantitative Analysis
  • Model Development
  • Python
  • Financial Products
  • Regulatory Initiatives

Tags:

Risk Analytics
Internal Models Method
Director
Morgan Stanley
Firm Risk Management
Quantitative Analysis
Model Development
Python
Financial Products
Regulatory Initiatives
MSc
PhD
Probability Theory
Statistics
Stochastic Calculus
Monte Carlo Simulation
Optimization
Derivatives Pricing
MATLAB
C#
C++
Risk Mitigation
Data Analysis
Financial Services

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How to Get Hired at Morgan Stanley

  • Tailor your resume: Highlight your quantitative background, modeling experience, and programming skills relevant to risk analytics and internal models.
  • Showcase financial product knowledge: Emphasize your understanding of derivatives and their pricing, as well as your experience with Python, MATLAB, C#, or C++.
  • Demonstrate problem-solving: Prepare to discuss complex analytical challenges you've overcome and how you approached them.
  • Highlight communication skills: Be ready to explain technical concepts clearly and concisely, both verbally and in writing.
  • Research Morgan Stanley: Understand their values, global presence, and commitment to risk management to align your application.

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