Delhi
Information Technology
Full-Time
Indizeal Software Solutions Pvt Ltd
Overview
Job Responsibilities
- Analyze financial datasets to identify patterns, trends, and relationships that can drive machine learning applications
- Design and implement ML models for financial forecasting, anomaly detection, and predictive analytics
- Transform raw financial data into structured formats optimized for analysis and model training
- Perform exploratory data analysis to uncover insights and opportunities for new analytical products
- Develop and optimize data pipelines in Snowflake to support analytical workloads and ML model training
- Create and maintain data models that enable effective cross-client benchmarking and comparative analytics
- Implement data validation processes to ensure data quality for analysis & model training
- Collaborate with product teams to translate business requirements into technical solutions
- Document methodologies, analyses, and modeling approaches
- Monitor and improve model performance through continuous evaluation and AND QUALIFICATIONS :
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field
- 5+ years of experience in data engineering with a strong focus on data analysis and machine learning implementation
- Proven experience analyzing complex datasets and implementing ML models based on findings
- Expert level proficiency in Python and its data analysis/ML libraries (pandas, NumPy, scikit-learn, TensorFlow/PyTorch)
- Strong SQL skills and experience with Snowflake or similar cloud data warehouse technologies
- Experience with ETL/ELT processes and data pipeline development
- Familiarity with data lake architectures and best practices
- Experience in implementation of modern data warehouse with Star Schema, facts and dimensions, Snowflake Schema and Data Vault
- Proven expertise to build scalable, auditable, state of art solutions using modern data stack
- Understanding of statistical analysis techniques and their application to financial data
- Experience implementing and optimizing machine learning models for production environments
- Ability to communicate complex technical concepts to non-technical stakeholder
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