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Data Scientist at Capgemini in New York, NY

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About Capgemini

With more than 193,000 people in over 44 countries, Capgemini is one of the world's foremost providers of consulting, technology and outsourcing services. The Group reported 2016 global revenues of EUR 12.539 billion. Together with its clients, Capgemini creates and delivers business and technology solutions that fit their needs and drive the results they want. A deeply multicultural organization, Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore®, its worldwide delivery model.  Learn more about us at http://www.capgemini.com 

Rightshore ® is a trademark belonging to Capgemini 

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

Job Description: 
Duties & Responsibilities:


Job DescriptionMUST HAVE 5+yrs FS; Risk Domain; 8-10 yrs Data Science expertise using tools and technologies including SPARK, PYTHON, etc; Functional Data Knowledge Market Risk/ Credit Risk; Good understanding of Risk &Capital calculations including areas such as Notional, Exposure/PE/EPE/EAD, Counterparty Risk, RWA, Sensitivities
• Analysis mindset with large dataset analysis techniques
• Good “Data Analysis” thinking with ability to analyze large datasets using several data analysis tools, frameworks, data algorithms
• Good hands on understanding of Big Data Stack, tools, hands on big data introspection and correlation analysis
• Ability to pre-process data for consumption for specific analysis
• Experience in using statistical models available for analysis
• Thought leader, creative thinker, with ability to discover additional possibilities to improve efficiencies using data analysis.
• Able to look beyond Risk into other domains such as Finance for cross functional analysis
• Able to influence organization and senior management decision making based on analysis outcomes
• Strong communication and time management skills 
• Strong presentation skills.
Data Scientist
Big Data expert (SPARK, PYTHON, Big Data Stack, Data Analysis, Risk and regulatory domain

 

Disclaimer: Capgemini America Inc and its U.S. affiliates are EEO/AA employers.  Capgemini conducts all employment-related activities without regard to race, religion, color, national origin, age, sex, marital status, sexual orientation, gender identity/expression, disability, citizenship status, genetics, or status as a Vietnam-era, special disabled and other covered veteran status. Click the following link for more information on your rights as an Applicant: http://www.capgemini.com/resources/equal

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