Associate
9 hours ago
BNP Paribas CIB has launched the very ambitious plan aiming to strengthen our organisation and adapt CIB to ensure it remains a healthy and sustainable business in the long term, providing solutions to our clients, and core to the Group in its diversified business mix.
In this context, the Global Markets Quantitative Research is tasked to build along with the Global Markets IT a new pricing and risk management platform covering all asset classes for both flow and exotics products. To support this initiative, the bank has decided to create in India a pole of expertise around front office risk management and P&L Explain quantitative analysis. The need for such a team originates from the necessity to harmonise, industrialize, and strengthen our tools to support ever growing trade volumes while ensuring a high level of data quality and coping with more stringent regulations.
The role being offered is to join this newly created pole of expertise fully integrated in the Functional Architecture team, part of Global Markets Quantitative Research. The job covers the following aspects:
· Familiarisation with BNP Paribas's risk and pricing framework
· Work alongside quants across other regions (London and Paris in particular) to develop the target analytics platforms for Global Markets with GPRIME and PAL, covering all aspects from trader and official risk and pnl to portfolio contingent topics such as xVA and margin calculations
· Be part of the long-term strategy to improve our analytics and actively participate in its implementation
· Use your knowledge to train and develop skills of the more junior members or the team
All tasks above are to be conducted in close collaboration with the quantitative team management. By joining us you will become part of a global team with a global reach into the bank.
Essential skills / Systems (Including languages & previous experience required)
· MSc to PhD degree in mathematics or engineering with strong analytical skills.
· Strong analytical skills and technical background in mathematics, computer science or finance
· In depth knowledge of at least one but ideally multiple asset classes
· Extensive experience with object-oriented languages (C++, C#, Python...) including participation in large scale projects
· Comfortable with large scale libraries and working with different profiles (quants, IT, MO, Risk)
· Ability to propose new design patterns and architectures with a strong emphasis on clean and ordered code with a focus on industrialization.
· Good knowledge of data analysis techniques and technological ecosystem
Desirable skills / Systems
· Experience participating in large scale projects
· Experience working in a global setup
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