Qualifications:
- Extensive knowledge of Machine Learning techniques (Supervised and Unsupervised Learning), including both classical methods (Linear models, Decision Trees, Ensembles) and modern neural networks (CNNs, RNNs, Transformers).
- Proficient in programming and scripting languages, libraries, and statistical software (R, Python, NumPy, Pandas, SQL, PySpark) for managing and deploying ML models.
- Experienced with modern cloud computing platforms (AWS, Snowflake, Azure, GCP).
- Master’s Degree in a quantitative discipline (Engineering, Mathematics, Statistics, Computer Science, or related fields) with over 5 years of experience in translating business challenges into data-driven solutions.
Duties:
- Analyze, clean, and interpret large, complex data sets through quantitative and qualitative research, statistical analysis, and comprehensive reporting.
- Develop and validate predictive models using advanced statistical methods (time series analysis, clustering, neural networks) and create impactful data visualizations with tools like Qlik, Tableau, and PowerBI.
- Collaborate with users, Data and Business Analysts, and senior leaders to understand business requirements and deliver data solutions, particularly within the Life Insurance, Mutual Funds, and Annuities sectors.
- Enhance quantitative solutions by continuously testing and refining statistical and machine-learning methods, working with diverse file formats (CSV, JSON, Avro, Parquet) and data compression techniques.
