5 to 8 years of experience in data analytics in financial services (Banking, Insurance and/or Mutual Funds Industry)
- Proven experience as a Data Scientist or Data Analyst
- Excellent understanding of ML techniques & algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Excellent applied knowledge of statistics methods, such as distributions, statistical testing, regression, etc.
- Working knowledge of applicable personal banking products and services
- Proficiency in query management and reporting tools (SQL)
- Proficiency in DAX language for development of Power BI dashboards and data models
- Proven skills and experience data visualization tools such as Microsoft BI, Tableau, Qlik view reports etc.
- Knowledge of SAS tools - SAS EG, SAS Minor, Marketing Automation, SAS Visual Analytics, Info Maps
- Knowledge of Python would be an added advantage
Principal Accountabilities:
- Data mining & Analytics: using state-of-the-art methods
- Selecting features, building and optimizing classifiers using statistical and machine learning techniques
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting the results
- Propose solutions and strategies to business challenges
- Campaign Management: Execution of tactical cross sell CRM campaigns for the business teams
Teamwork: Work collaboratively with own immediate team. Establish trust and confidence with the business partner teams. Liaise with key stakeholders on MIS related activities and deliverables.
Communication: Work with the team to communicate the reports/outputs to the business teams effectively
Job Location - Muscat (Oman)
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