
Chief Data Strategist
2 weeks ago
Unlock the power of data to drive business value
Job Description:We are seeking a seasoned Data Scientist who can analyze investor and partner data, build predictive models, and derive actionable insights. The ideal candidate will work closely with cross-functional teams to deliver high-impact solutions.
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.
- Design dashboards and reports in collaboration with the MIS team to provide actionable insights.
Required Skills and Qualifications:
- 6-8 years of experience in data science, analytics, or risk modeling in the financial services sector.
- Excellent programming skills in Python, R, SAS (Enterprise Guide, E-Miner, VIYA).
- Databases: SQL Server, MongoDB.
- Visualization: R-Shiny, Power BI, Excel.
- Machine Learning & Statistical Techniques: Regression (Linear, Logistic), Ensemble Methods (Random Forest, Gradient Boosting), NLP & Text Mining-Sentiment Analysis.
Benefits:
- Hands-on experience in automating data pipelines, web scraping, and predictive analytics.
- Ability to translate complex data insights into clear business strategies.
- Strong understanding of investor behavior, digital customer journeys, and financial product analytics.
Others:
Experience building Investor behavior models, early warning systems, and propensity model.
Good to have ensemble methods: Random Forest, Gradient Boosting, NLP & Text Mining-Sentiment Analysis, Fuzzy, String Matching etc
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