Quantitative Model Validation – Internship - Beijing Quantitative Model Validation – Internship -  …

MSCI
in Beijing, Beijing Shi, China
Permanent, Full time
Be the first to apply
Competitive
MSCI
in Beijing, Beijing Shi, China
Permanent, Full time
Be the first to apply
Competitive
Quantitative Model Validation – Internship - Beijing
Position Overview

The Risk Analytical QA Team is responsible for developing and implementing the validation processes and procedures for industry adopted financial instruments, statistics, stress tests and reporting. Our goal is to ensure the 'highest level quality' and the 'fastest time to market' in the industry for financial products. This is an exciting role that lies on the cusp of finance and technology. As a key member of this team, the candidate will have direct responsibilities for ensuring that MSCI market-leading analytics continue to provide clients exceptional analytics quality and sophistication. The members of the Risk Analytical QA team work on complex issues where analysis is required to determine the root source of problems and associated factors. The candidate must be detail-oriented and capable to coordinate multi-task assignments in a timely and independent fashion.

Scope of Responsibility

The candidate will have opportunity to work on innovative financial models, for pricing as well as risk management, utilizing the latest technologies. The candidate will learn about our clients' needs and validate the quantitative models that fulfill those needs. The members of our team have opportunities to contribute in a broad set of roles including: studying functional, non-functional and analytic specifications, developing test plans and test cases, verifying formulas and implementing and using automated test tools.

The candidate will be exposed on a daily basis to the following topics. Knowledge of these areas is not required, however a strong motivation to learn is a must.
  • Pricing and risk models for exotic derivatives, fixed income asset classes, credit derivatives and securitized products
  • Portfolio level risk analysis
  • VaR methodology
  • Automation framework, built with state-of-the-art technologies, for validation of the models
The candidate will also have responsibilities on a daily basis to a range of areas:
  • Develop and extend independent validation tools which are used to ensure accuracy for all numbers produced by our analytics engines
  • Analyze and extend the analytics regression tests to ensure the complete and efficient coverage for all analytics engine statistics and asset types
  • Work with the Risk Research and Analytics Development teams to evaluate manual and regression test differences, check requirements and extend test case coverage
  • Ensure that all daily test processes are completed successfully and resolve problems with the assistance of the research and development teams
Specific Knowledge/Skills
  • Strong motivation to learn about financial markets
  • Outstanding advanced mathematical and quantitative skills
  • Strong written and oral proficiency in English
  • Interest working in an environment that combines finance and technology
  • Strong sense of ownership with projects
  • Willing to work in a global team environment
Desired Experience
  • Relevant work experience in model validation
  • Experience with a programming language (e.g. Matlab, Python, R, C++, C#)
Desired Qualifications

Master's degree or PhD with focus in finance, quantitative finance, financial mathematics, mathematics, physics, statistics or another quantitative field

Due to the great number of applications we receive for each of our open vacancies, we are unable to respond on an individual basis.

To all recruitment agencies : MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.

MSCI Inc. is an equal opportunity employer committed to diversifying its workforce. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected pregnancy/maternity leave), veteran status, or any other characteristic protected by law.

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