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Tier-1 bank brand, Bengaluru metro location, and broad ML/model-ops skillset drive high competition.
Requires finance/credit modelling and SDLC domain knowledge, reducing cross-industry transferability.
Requires specific model-ops experience, Python/SQL, finance modelling knowledge and automation skills, so moderate filtering.
Participate in and support model maintenance, optimization initiatives, and quantitative model operations involving data analysis, validation, and reporting.
Develop and execute automated test scripts and frameworks for data migration activities ensuring data quality and completeness.
Collaborate with finance/credit modeling teams to address domain specific testing and provide solutions using GenAI, ML, automation, and data engineering techniques.
Minimum 2+ years experience in quantitative model solutions, model operations, or equivalent through work experience, training, education, or military.
Proficient in Python/R or SAS and Excel; experience in data visualization tools such as PowerBI, Tableau, or Qlikview.
Bachelor’s degree in finance, statistics, computer science, IT, or related field with 2+ years of relevant experience.
Strong understanding of finance/credit/banking modeling and software development life cycle (SDLC) processes; knowledge of database concepts and SQL querying.
Experience with platform migration or model reengineering projects in financial sector, demonstrating ability to handle large data volumes efficiently.
Skilled in developing automated testing frameworks using Python (Pytest/Selenium) and applying GenAI, ML, and automation for process improvement.
Comfortable working with global teams and diverse stakeholders in a complex organizational environment with strong risk, controls, and compliance focus.