Associate Level 1 - Front Office Cross-Assets Quantitative Research

Job Description

Position Purpose BNPParibas 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. Responsibilities 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 BNPParibass risk and pricing framework Grow in experience on risk and P&L Explain topics starting with data analysis topics and gradually improving your understanding of this data Use state of the art data analysis techniques to improve anomaly and outliers detection while providing insights into the required developments as well as monitor overall data quality and improve the service provided to our clients (trading, MO, RISK) Gain expertise in one or more of the asset classes we aim to cover (MACRO (IR / FX / Commodities), CREDIT and EQUITIES) Ensure remediation either locally or in collaboration with central teams of identified issues and weaknessesAll 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. Technical & Behavioral Competencies MSc to PhD degree in mathematics or engineering with strong analytical skills. Knowledge of finance is a bonus. Strong analytical skills and technical background in mathematics, computer science or finance Strong academic knowledge in data science with ideally a prior experience (internship, personal project) Eager to learn and grow into a quantitative analyst in a trading environment Strong skills with object-oriented languages (C++, C#, Python...) Good knowledge of data analysis techniques and associated technological ecosystem (Desirable) Academic knowledge of finance (Desirable) Prior experience in a CIB Quantitative Research team Skills Referential Behavioural Skills(Please select up to 4 skills) Attention to detail / rigor Creativity & Innovation / Problem solving Critical thinking Communication skills - oral & written Transversal Skills: (Please select up to 5 skills)Analytical AbilityAbility to understand, explain and support changeAbility to develop and adapt a processEducation Level:Master Degree or equivalentExperience LevelAt least 1 year