Stress Testing Quant Role: Associate
The Commercial & Investment Banking Research & Analytics Group (CIB R&A) is an integrated specialist team covering Origination (Banking and Markets), Products (Securities Services and Treasury Services), Research and Data Analytics globally. Our teams in India and China are an extension of the business teams located globally. We help global corporations, institutions and organizations of all sizes grow their businesses by providing cutting edge analytics and solutions
Job summary:
This position is a Quant profile to support the activities of the CIB Modelling Centre of Excellence team, sitting out of CIB R&A in Mumbai. The incumbent will be working in a team of 25 and be responsible for the design, engineering, implementation and support of the CIB Quantitative Framework for the CCAR/ICAAP regulatory process, while also exploring opportunities to further leverage it into other activities such as the planning and forecast processes, ad hoc analysis for senior management and other strategic initiatives to support the businesses.
Job responsibilities:
- Perform in-depth data analysis, using statistical and machine learning modeling techniques including decision trees, neural networks, to creatively build predictive or explanatory models
- Devise/improve quantitative models on new/existing regression analysis. This includes coding the entire statistical methodology in Python, R
- Create complex codes in Python based internal platform for the implementation of the quantitative as well as qualitative models
- Translate business needs into quantitative analyses and tools; communicate complex results to senior stakeholders in a clear and precise manner
- Work independently and collaboratively to establish close partnerships with peers across the greater CIB organization and Global Treasury.
- Develop metrics and statistical model prototypes that can be used to drive business decisions.
- Lead and participate in ad-hoc projects as needed by senior management or regulatory initiatives
- Clearly document the code of the tools created; Publish and maintain clear user documentation; Write the official Model documentation and interact with the Model Governance group for review and approval; Ensure full SIT / UAT and Change controls of tools
Required qualifications, capabilities, and skills
- Experience of working on statistical, analytical and machine learning libraries within Python/R.
- Ability to create complex codes from scratch as well as to understand and update already written complex codes in Python
- Knowledge of probability theory, statistics and machine learning would be an advantage.
- Advanced user of MS Office suite, including Word and PowerPoint
- Close attention to detail and ability to work to very high standards
- Strong quantitative and analytical skills
- Strong communication skills (both written and verbal) and ability to present findings to a non-technical audience
Preferred qualifications, capabilities, and skills
- Ideal candidates for these positions would be graduates/post-graduates with good academic records from esteemed universities with some exposure to finance/actuaries/accounting and/or derivatives.
- Proven coding experience in any statistical coding platform (preferably Python)
- Strong knowledge of CIB Businesses
- Superior time management and multi-tasking skills to juggle long term projects and daily tasks
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