
Chief Data Strategist
2 weeks ago
As a leading expert in data-driven decision making, we are seeking an accomplished Data Scientist to join our team.
Job Description
We are looking for a skilled professional who can effectively analyze investor and partner data to uncover trends and opportunities. The ideal candidate will have experience in machine learning, statistical modeling, and data visualization, with a strong understanding of financial services, customer behavior analytics, and risk modelling.
Key Responsibilities:
- Analyze investor behaviour and distribution partner data to identify patterns and make informed business decisions.
- Develop predictive models for investor segmentation, churn prediction, and customer lifetime value estimation.
- Measure campaign effectiveness, optimize targeting strategies, and enhance personalization through advanced analytics techniques.
- Implement text mining and sentiment analysis on investor feedback, social media, and complaint data to gain valuable insights.
- Design dashboards and reports in collaboration with the MIS team to provide actionable insights to stakeholders.
Required Skills and Qualifications:
- 6-8 years of experience in data science, analytics, or risk modeling in the financial services sector.
- Excellent knowledge of programming languages such as 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).
- Good understanding of ensemble methods, NLP & Text Mining-Sentiment Analysis.
Benefits:
- Competitive salary and benefits package.
- Opportunities for career growth and professional development.
- Collaborative and dynamic work environment.
Others:
- Strong understanding of investor behavior, digital customer journeys, and financial product analytics.
- Ability to translate complex data insights into clear business strategies.
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