
Advanced Data Analyst for Financial Services
6 days ago
Our team is seeking a skilled Data Scientist to join our efforts in unlocking business value from data. As a key member of the analytics team, you will collaborate closely with Digital, Marketing, Analytics, and Operations teams to analyze investor and partner data, build predictive models, and drive informed decision-making.
Key Responsibilities:- Develop and implement advanced analytical models to uncover trends and opportunities in investor behavior and distribution partner data.
- Measure campaign effectiveness, optimize targeting strategies, and enhance personalization by leveraging automation, early warning signals, and fraud detection models.
- Implement text mining and sentiment analysis on investor feedback, social media, and complaint data to provide actionable insights.
- 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 Advance 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: Regression (Linear, Logistic).
- Good to have ensemble methods: Random Forest, Gradient Boosting, NLP & Text Mining-Sentiment Analysis, Fuzzy, String Matching.
- 6+ years of experience in data science, analytics, or risk modeling in the financial services sector (mutual funds, banking, lending).
- 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.
- Ability to translate complex data insights into clear business strategies.
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