Totem Product Analysis

il y a 4 semaines


Paris e, France S&P Global Temps plein

S&P Global Market Intelligence

**The Role**: Totem Product Analysis & Design Summer Intern.

**The Location**: Paris, France

**The Team**:
The TOTEM service, founded in 1997, provides the major market makers in OTC derivatives with definitive consensus market prices. More than 50 of the leading banks, trading houses and other investment professionals use the TOTEM service as the key independent check of their trading book valuations.
The service encompasses the equity, interest rates, currency, commodity, credit and bond markets, providing comprehensive matrices of vanilla prices and a wide selection of exotic products.

**The Impact**:
The Totem Product Development team consists of several Product Analysis & Design specialists located in our London office and is currently engaged on the following initiatives:
Providing tactical solutions for all new initiatives around Totem Product
Migrating some of the services on a new innovative and centralized platform powered by AWS and Python
Leveraging data science to drive new initiatives around Totem unique proprietary data

**What’s in it for you**:
Do you thrive in a dynamic environment? Are you eager to innovate through financial derivatives data analysis? By interacting closely with Business Development, Product Services and IT, you will be participating in the evolution of Totem Product. The role encompasses areas such as data analysis, machine learning, software development, innovation, business, customer presentations.

The Summer 2023 Internship Program will provide you with a variety of experiences to help you identify your strengths, develop highly transferable skills, and align you to a successful career path for a bright future at S&P Global.

**Responsibilities**:
Driving forward R&D project leading to new Totem feature in the future
Providing data analysis by combining internal and external datasets to drive new features adoption from our customers
Interacting closely with Business Development, Product Services and IT to deliver a better product overall

**What We’re Looking For**:
We value partnership and it is crucial that you are a great teammate in order to be successful within our organization. We reward hard work, dedication, and self-starters. We believe that no one part is more valuable than the sum of the whole; we need everyone to achieve our goals.
Undergraduate or Master’s degree in a financial or quantitative discipline is essential
Strong analytical, quantitative and problems solving skills are essential
Data analysis skills
Proficiency in Python desirable
Practical understanding of the basics of mathematical finance and derivatives pricing

Eligibility

How to apply

Application and assessment process
The assessment process that follows is designed to ensure you can learn more about us, showcase your skills and find a role that is right for you.
Stage 1
Stage 2
Screening stage. In most locations, this screening stage will be in the form of a telephone interview.
Stage 3
Final stage
The final stage will consist of interviews with the hiring teams.

**About Company Statement**:
S&P Global delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape.
S&P Global Market Intelligence partners with customers to broaden their perspective and operate with confidence by bringing them leading data sources and technologies that embed insight in their daily work.
------------------------------------------------------
- Equal Opportunity Employer
------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), HUMRES203 - Entry Professional (EEO Job Group)

**Job ID**: 280505

**Posted On**: 2023-01-12

**Location**: Paris, France



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