Finance processes have evolved over the years in a bespoke manner due to variables such as market conditions, regulatory pressures and new business, which have ultimately resulted in inconsistency across business functions. These inconsistencies pose a challenge for process standardization and technology rationalization. The objective of Process Transformation is to define a target end state to ensure a consistent process for Finance activities and the implementation of innovative technology to support this vision. The Process Innovation / Data Science role will work within the Process Transformation team in the Finance Change group, with a focus on delivering process and innovation related projects. The overarching objective is to apply innovative technologies (such as R-Studio, Data Science, Machine Learning etc) to transform the way CFO functions can work. As a Process Innovation Developer / Data Scientist, you will closely work with stakeholders in the CFO function to implement innovative solutions. You will independently fulfill client-facing functional and technical roles leveraging your technical skills. This will involve design and build of solutions to meet business process and application requirements, leveraging innovative technologies. We Offer : - Input into Business Requirements Document (BRD) for all releases by working closely with the line team SMEs to understand and document their requirements. - Consider alternative options or solutions to meet the business requirements. - Incorporate Innovative Technology into solutions, such as, Data Science, Machine Learning algorithms, Natural Language, Robotics, Deep Learning etc. - Develop the Functional Requirements or Solution Design Document - Develop code to deliver against the defined requirements - Develop/Review test cases/scripts, perform functional testing and analyze defects - Assist with User Acceptance Testing (UAT) - Build and maintain good relationships with business/function stakeholders and IT at a working level - The role provides exposure to a wide group of business stakeholders including senior management - The role is also a platform to develop understanding of financial products, business processes and systems, IT architecture, data governance and data convergence opportunity - Systems experience including big data, machine learning, robotic process automation, graph databases, crowd sourcing, blockchain, distributed ledgers. You Offer : - BS/BE/BTech in Computer Science or equivalent (Masters Degree preferred) - Studied at least one of Mathematics / Statistics / Computer Science / Engineering / Science - Financial Services domain knowledge preferred, but candidates with other backgrounds will also be considered. - Minimum 3-4 years of experience with R-Studio, Data Science, Machine Learning - 7-8 years of overall programming experience - Prior development experience in Java, Python strongly preferred - Experience in C++, .NET desired - Working knowledge of html, css and javascript and concepts such as http/https, ports, DNS, active directory etc - Flexible, - get-it-done- personality with an entrepreneurial approach - Research skills - Ability to organize and plan work independently - Strong analytical skills and ability to define and apply logical approach to issue resolution - Strong communication (written, verbal, presentational) skills - Good team player Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success.

Pune

Credit Suisse - AVP - Data Scientist 

Credit Suisse - AVP - Data Scientist  ,Job Description for Credit Suisse - AVP - Data Scientist  in Credit Suisse in  Pune for (7-11) years of experience. Apply Now!

Job Description for Credit Suisse - AVP - Data Scientist  in Credit Suisse in  Pune for (7-11) years of experience. Apply Now!