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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 bank, mid-level data scientist, metro location, broad skillset demand increases applicant competition.
Strong financial-crime and compliance domain knowledge preferred, limiting cross-industry transferability.
Mandatory ML, Python, SQL, BI skills plus regulatory and control requirements increase filtering rigor.
Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end data analytics and machine learning initiatives to extract insights from diverse data sources, supporting Financial Crime Screening and operational efficiency.
Develop and maintain scalable data pipelines, predictive models, and visual dashboards using Python, SQL, Power BI, and Tableau to inform business decisions and risk mitigation.
Lead complex assignments, collaborate with stakeholders including senior leadership and compliance, and ensure regulatory and internal policy adherence in a highly regulated environment.
Minimum Requirements
Bachelor's degree or equivalent in Mathematics, Statistics, Engineering, Computer Science, Data Science, or related quantitative field.
Proven experience in Data Science, Machine Learning, and Business Intelligence using Python, SQL, Power BI, and Tableau.
Experience working in Financial Crime Operations, Screening, Compliance, or Risk Management sectors.
Work Experience Required: Managerial experience delivering results in complex, regulated operational contexts. Location: Based in Noida or Gurugram.
Ideal Candidate Profile
Experienced in developing and operationalizing machine learning and statistical models for financial crime or risk management use cases.
Strong collaborator able to manage multiple disciplines and stakeholders laterally and upwards, including senior leadership.
Demonstrated capability to lead complex data science projects in a regulated banking environment, with proven understanding of compliance and risk controls.