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Research Analyst/Senior Research Analyst

Date: 24-May-2019

Location: New York, New York, US

Company: CRISIL Limited

KEY ROLES & RESPONSIBILITIES

• Works independently or in teams on the analysis of complex data sets and makes recommendations to management
• Uses data analysis and statistical techniques to build algorithms necessary to predict trends and communicates them to leaders
• Optimizes data and utilizes industry research to address client questions/needs
• Uses new insights to suggest actionable items that help realize value and create market opportunities for the business
• Provide predictive views on a variety of matters that are important to the business

FUNCTIONAL & BEHAVIOURAL KNOWLEDGE

• Uses comprehensive technical skills as well as thorough business knowledge to be able to identify opportunities that improve customer, employee and partner interactions

PROBLEM SOLVING

• Solves a wide range of complex problems using the appropriate analytic tools, interpretive thinking, and in-depth analysis to solve business challenges

INTERACTIONS

• Communicates conclusions and recommendations within data science team and to other teams and managers
• Creates formal internal and external networks involving coordination among groups and various other providers
• Interacts with managers outside of immediate team

TYPICAL SCOPE & IMPACT

• Contributes to the achievement of Data Scientist objectives and the IT functional objectives
• Works on complex issues that are of significant importance to the business & where analysis of the situation or data requires the review of multiple factors

MINIMUM & PREFERRED EDUCATION

• Advanced degree (MBA; PhD) or equivalent experience in Math, Science or Engineering; and industry certification (CFA, Tech Certification) preferred

MINIMUM & PREFERRED EXPERIENCE / SKILLS

• 6-10 years of related experience and expertise working with databases, SQL, scripting language and big data analysis, visualization and computing tools
• Comprehensive knowledge in the following disciplines: natural language processing, machine learning, conceptual and predictive modeling, statistical analysis, hypothesis testing, web analytics, python scripting, and visualization tools


Job Segment: Statistics, Data Analyst, CFA, Research, Data, Finance

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