2024 Institutional Equities Quantitative Trader - Paris, France - Morgan Stanley

Morgan Stanley

Entreprise vérifiée

Paris, France

il y a 2 semaines

Posté par:

Sophie Dupont

beBee Recruiter

Description

PLACEMENT AND DURATION

The 6-months Off-Cycle Quantitative Trader Program is an opportunity to experience the culture and atmosphere in the Sales & Trading division by taking on some of the responsibilities and functions of a Full Time Analyst.

As a quantitative trader intern, you will be given full insight into what it takes to be part of a trading desk at Morgan Stanley.

You will be responsible for producing analytics as well as ad-hoc reports and leading a diverse set of projects to improve our trading activities.

You will spend your internship assigned to a specific desk and you will be based in our Paris office.

As a quantitative trader intern, you will be part of a team which will provide you with the opportunity to further your trading career working alongside top industry professionals.

TRAINING PROGRAM
You will receive on-the-job training and benefit from working alongside experienced professionals on a variety of projects. You will develop the analytical, quantitative and interpersonal skills that will help you succeed in the role.

RESPONSIBILITIES
We are recruiting for the following desk;

AMM desk
Automated Market Making is a registered market maker on all major US options exchanges & quotes more than 2000 individual option classes. In EU, AMM is a registered market maker on Eurex/Euronext and quotes more than 180 individual options classes. AMM is also central to the derivatives automation program for the trading division

QUALIFICATIONS/ SKILLS/ REQUIREMENTS

You will have advance knowledge of Python, SQL, Excel, VBA, R or similar languages is valued
You will have an understanding of theoretical pricing models and knowledge of market products and their risks
You have a keen interest in the financial markets, economics, complex market dynamics and have the desire to work in a fastpaced environment
You will have curiosity and willingness to go beyond the basic textbook models to find trade ideas and arbitrage channels
You will have an interest in data and how to tackle diverse datasets in innovative ways
You will have an entrepreneurial mindset and possess practical problemsolving skills with a great attention to detail
You can analyse and interpret complex information quickly and accurately
You are an excellent communicator and enjoy collaboration and teamwork
You must be a current student or have student status and are available to start in 2024 for a 6 month internship