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Popular junior ML/data role at a recognizable finance firm in metro India increases applicant competition.
Core ML and data skills are transferable, though finance domain preference slightly increases specificity.
Explicit 0–2 years plus required Python/SQL and ML skills create moderate screening filters.
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Manage end-to-end data science workflows including data extraction, cleaning, feature engineering, model development, validation, and deployment.
Develop and maintain predictive models and analytical tools for portfolio management, risk assessment, and investment research using financial and alternative data sources.
Implement NLP and Generative AI solutions for research automation and create data visualizations/dashboards to communicate insights to investment teams.
Bachelor's or Master's degree in Engineering, Data Science, Statistics, or related field.
0-2 years of experience in data science roles.
Proficiency in Python and SQL for analysis, modeling, and reporting.
Work Shift: 2:00 PM - 11:00 PM IST.
Experience or strong interest in financial services data and investment processes, preferably with exposure to market, transactional, or alternative data.
Practical skills in building and evaluating ML models including regression, classification, clustering, and ensemble methods.
Familiarity with NLP, Generative AI techniques, and an understanding of MLOps concepts for reproducible workflows is a plus.