Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, popular Data Scientist title, metro locations, and broad skillset requirements increase candidate competition.
Financial-crime, sanctions, and payments domain expertise is important, reducing cross-industry transferability.
Banking regulatory controls, required ML/analytics stack, and managerial expectations create stringent candidate filters.
Job Description
Structured overview of role & requirementsAbout This Role
Provide technical and analytical support to Financial Crime Screening operations through advanced data forensics and machine learning solutions.
Develop, maintain, and optimize scalable data pipelines and analytical models using Python, SQL, Power BI, and Tableau to generate insights for compliance and operational initiatives.
Collaborate with internal technical teams and stakeholders to ensure regulatory compliance, delivery of platforms, and implementation of automation and AI-driven projects.
Minimum Requirements
Strong proficiency in Python, SQL, Power BI, and Tableau for data analysis and visualization.
Experience applying statistical techniques, machine learning methods, and predictive modeling to large and complex datasets.
Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, Data Science, or a related quantitative field is desirable but not explicitly mandatory.
Location requirement: Role based in Noida and Gurugram. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in financial crime operations, screening, compliance, or risk management domains with strong quantitative and analytical skills.
Capable of managing complex projects and collaborating across multiple technical disciplines and business functions, including senior leadership.
Demonstrated ability in building data-driven solutions that support regulatory compliance and operational decision-making within a highly regulated environment.