
Driving Business Value through Data Science
3 days ago
Unlocking Business Potential with Data-Driven Insights
We are seeking a highly skilled and experienced professional to drive business value from data. As a key member of our team, you will be responsible for analyzing investor behavior and distribution partner data to uncover trends and opportunities.
Key Responsibilities:- Analyzing Investor Trends: Develop predictive models for investor segmentation, churn prediction, and customer lifetime value estimation using advanced statistical techniques and machine learning algorithms.
- Ongoing Optimization: Measure campaign effectiveness, optimize targeting strategies, and enhance personalization by leveraging insights from data analysis.
- Data Mining and Sentiment Analysis: Implement text mining and sentiment analysis on investor feedback, social media, and complaint data to provide actionable insights.
- Ensuring Data Integrity: Ensure data accuracy, security, and compliance with regulatory requirements.
- 6-8 years of experience in data science, analytics, or risk modeling in the financial services sector.
- Excellent skills in Advanced Excel.
- Programming knowledge of Python, R, SAS (Enterprise Guide, E-Miner, VIYA).
- Databases: SQL Server, MongoDB.
- Visualization: R-Shiny, Power BI, Excel.
- Machine Learning & Statistical Techniques, including Regression (Linear, Logistic).
- Good understanding of ensemble methods: Random Forest, Gradient Boosting, NLP & Text Mining-Sentiment Analysis, Fuzzy, String Matching.
- Opportunity to Drive Business Growth: Contribute to the development of data-driven strategies that drive business growth and success.
- Collaborative Environment: Work closely with cross-functional teams to leverage expertise and drive results.
- Experience Building Investor Behavior Models: Experience building investor behavior models, early warning systems, and propensity model.
- Strong Understanding of Investor Behavior: Strong understanding of investor behavior, digital customer journeys, and financial product analytics.
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