Morgan Stanley Research - AlphaWise Data Analytics Analyst / Associate Morgan Stanley Research - AlphaWise Data Analytics  …

Morgan Stanley
in New York, NY
Permanent, Full time
Last application, 30 Nov 20
Morgan Stanley
in New York, NY
Permanent, Full time
Last application, 30 Nov 20
Morgan Stanley Research - AlphaWise Data Analytics Analyst / Associate
The AlphaWise Primary Research team collaborates closely with Morgan Stanley fundamental analysts, strategists, and economists on key investment debates. Building on a decade of experience, the AlphaWise Primary Research team gathers alternative data to generate unique analytics and insights. The group is seeking an associate with experience in data science to create, evaluate and analyze alternative data sets, in support of our Morgan Stanley Research Analysts. The role is dynamic, fast paced and interacts with multiple stakeholders.

Key Responsibilities
• Partner with Research teams, quants/data scientists, and technology to create and enhance data sets that provide insights into key investment debates
• Identify signal in alternative data sets to help forecast key company KPI's
• Analyze proprietary and/or third party data, develop transformation scripts, and remediate quality issues
• Communicate and collaborate with Morgan Stanley Research teams around idea generation, proof of concept and data analysis / deliverables related to alternative data projects
• Create efficient and reusable code meant for the improvement, manipulation, and analysis of data
• Be aware of common pitfalls with basic ML algorithms (Linear/Logistic Regression) and how to combat these issues
• Create and maintain standards and documentation (mapping, rulebooks, etc.)
• Work with off-shore team members on product development efforts


• Bachelor's Degree from an accredited higher learning institution (required area of study: Computer Science Mathematics, Statistics, Physics or related engineering degrees)
• 2-4 years of experience as a data analyst, data scientist, or related quantitative role; experience in banking/financial services preferred
• Strong analytical and reasoning skills; able to decompose complex problems and projects into manageable pieces; comfortable suggesting and presenting solutions
• Comfortable working in a large organization with a broad set of stakeholders across various functions (i.e., Business, IT, Operations)
• Excellent verbal and written communication skills presenting complex analytical results to technical and non-technical audiences
• Ability and desire to work in a start-up paced environment and culture

Technical Qualifications
• Experience with using data profiling tools to query the data, identify anomalies, gaps and issues
• Experience in Python and/or R (other modern programming languages such as Perl, JavaScript are a bonus) and statistical packages
• Experience configuring technical architecture to support data analysis activities
• Experience in data quality management
• Experience in working with data in various forms (data warehouses/SQL, unstructured data environments/PIG,HIVE, Impala)
• General awareness of data management practices, emerging trends, and issues
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