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Tier-1 brand, mid-level generalist ML role, metro location, and broad skill requirements increase competition.
Core ML skills are transferable, but banking/AML and risk specialization increases domain-specific sensitivity.
Explicit 4-5 years requirement, ML deployment expectations, and banking compliance raise shortlisting strictness.
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Work with large and complex datasets to evaluate, recommend, and support implementation of business strategies.
Document data requirements, perform data collection, processing, cleaning and exploratory data analysis using statistical models, algorithms, and visualization techniques.
Assess risks related to business decisions ensuring compliance with laws, rules, and policies to protect the firm's reputation and assets.
4-5 years relevant experience in data science, machine learning, deep learning, and Generative AI models.
Bachelor's degree or equivalent experience required.
Experience with data retrieval and manipulation using tools like SQL and Access.
Exposure to model deployment, performance monitoring and Model Risk Management (MRM) processes is a plus.
Experience working in quantitative fields and applying analytics to marketing, risk, digital, or AML domains.
Familiarity with cross-functional collaboration in a matrixed organizational environment.
Strong problem-solving skills with ability to communicate effectively and manage data-driven projects with attention to detail.