
Data Insight Professional
6 days ago
We are seeking a highly skilled professional to drive business value from data insights.
- Work closely with cross-functional teams to analyze investor and partner data.
- Build predictive models using machine learning, statistical modeling, and data visualization techniques.
Key Responsibilities:
- Analyze investor behavior and distribution partner data to uncover trends and opportunities.
- Develop models for investor segmentation, churn prediction, and customer lifetime value estimation.
- Measure campaign effectiveness, optimize targeting strategies, and enhance personalization.
- Implement text mining and sentiment analysis on investor feedback, social media, and complaint data.
Necessary Qualifications:
- 6-8 years of experience in data science, analytics, or risk modeling in the financial services sector.
- Excellent programming knowledge of Python, R, SAS, SQL Server, and MongoDB.
- Databases: SQL Server, MongoDB.
- Visualization: R-Shiny, Power BI, Excel.
- Machine Learning & Statistical Techniques. Regression ( Linear, Logistic).
Desirable Skills:
- Experience building Investor behavior models, early warning systems, and propensity model.
- Strong understanding of investor behaviour, digital customer journeys, and financial product analytics.
- Hands-on experience in automating data pipelines, web scraping, and predictive analytics.
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