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BNP Paribas
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Associate Level 1 - Front Office Cross-Assets Quantitative Research

Associate Level 1 - Front Office Cross-Assets Quantitative Research

BNP Paribas

1 - 6 years

7 - 11 Lacs

Mumbai

Posted:4 hours ago| Platform:

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Skills Required

c# front desk visualforce python dml receptionist activities customer service sfdc analysis triggers apex salesforce salesforce crm sales force development fx data loader data science front office reception finance communication skills

Work Mode

Work from Office

Job Type

Full Time

Job Description

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 PL 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 BNP Paribass risk and pricing framework

Grow in experience on risk and PL 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 weaknesses

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.

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:

Analytical Ability

Ability to understand, explain and support change

Ability to develop and adapt a process

Education Level:

Master Degree or equivalent

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Associate Level 1 - Front Office Cross-Assets Quantitative Research