Associate, Research
Morgan Stanley
Job Overview
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Job Description
Company Profile
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. With over 1,200 offices in 43 countries, its Research division offers timely, integrated analysis of companies, sectors, markets, and economies.
What You’ll Do In The Role
The Associate, Research will design and enhance metrics and reporting for Research analyst performance tracking. You will guide Research analysts in client targeting and engagement strategies by consolidating and analyzing large datasets. Key responsibilities include:
- Conducting data analytics to provide clear summaries and strategic insights for senior management.
- Developing requirements and managing delivery for management data platforms.
- Using Python to automate data processes and email generation.
- Supporting strategic initiatives for the Research COO team.
- Collaborating with team members and cross-divisional stakeholders in the US and overseas.
What You’ll Bring To The Role
Required qualifications include a Master’s in Marketing Analytics, Finance, or a related field and at least one year of experience as a Data Analyst or in a similar role. Expertise in SQL, Python, Excel, VBA, data cleaning, data visualization, machine learning modeling, statistical testing, advanced data analytics, and project management is essential.
Compensation & Benefits
Base pay ranges from $110,000 to $175,000 per year, determined on an individualized basis along with additional incentive compensation and benefits.
What You Can Expect From Morgan Stanley
At Morgan Stanley, you will work among the best and brightest in a supportive and innovative environment that values diversity, integrity, and excellence.
Key skills/competency
- Data Analytics
- Python
- SQL
- Excel
- VBA
- Data Visualization
- Machine Learning
- Statistical Testing
- Project Management
- Reporting
How to Get Hired at Morgan Stanley
- Customize your resume: Highlight analytics, Python, and SQL skills.
- Research Morgan Stanley: Understand their values and global presence.
- Emphasize project work: Detail data visualization and automation projects.
- Prepare for technical questions: Brush up on SQL, Python, and data modeling.
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