Description

Key Skills: SCALA, Pyspark, SQL, Python, AML, Quantexa

Roles and Responsibilities:

• Design and develop Quantexa-based data solutions supporting entity resolution, entity matching and Customer 360 capabilities.
• Build data engineering components for KYC, AML and fraud detection use cases.
• Develop and maintain data processing workflows using distributed data processing technologies.
• Translate business and risk requirements into scalable data models, matching logic and decision intelligence solutions.
• Investigate data quality issues, validate analytical outputs and support production implementation of Quantexa solutions.

Skills Required:

• 8 to 10 years of relevant experience in data engineering, data platforms or financial crime technology.
• Strong experience as a Data Engineer delivering enterprise data platforms and analytics solutions.
• Hands-on experience with entity resolution, entity matching, Customer 360 or decision intelligence implementations.
• Experience working with KYC, AML, fraud detection or related financial crime data domains.
• Ability to build scalable data processing solutions and integrate diverse structured and unstructured data sources.

Good to Have:

• Scala, AML, PySpark, Python and SQL experience.

Education: B.Sc., B.Com., B.E., B.Tech, BCA, M.Com, M.Tech, M.B.A., M.E. or M.Sc. in a relevant discipline.

Key Skills

Education

Any Graduate