Only 9+ years candidates required Skills Required: • Experience in fraud analytics, risk management, or financial crime analytics in the banking sector with an additional emphasis on transaction monitoring • Machine Learning and Business Articulation • Expertise: Extensive experience in designing, developing, and deploying machine learning models to detect and mitigate fraud. Candidate should demonstrate a high degree of capability to translate client business statements/briefs into data-driven solutions. • Fintech & Fraud Detection: Background in the Fintech industry, with specific experience in financial crime and fraud detection, applying data science to solve real-world business problems. • Advanced Tools and Platforms: Experience with tools such as PySpark, Databricks, AWS, or GCP for processing large datasets, training models, and deploying them at scale. • Candidate must demonstrate following in their experience o SME level expertise on Fraud Patterns and associated solutions o Thorough knowledge of AWS ecosystem in context of AI/ML solutions o Understanding Model Risk Management requirements as part of solution o Excellent command of PowerPoint for creating apt business presentations • Expertise in AI / ML with strong focus on leveraging cloud platforms like AWS to build scalable, production-grade applications. • Strong experience with advanced SQL and good to have experience in Pyspark. Note – VBeyond is fully committed to Diversity and Equal Employment Opportunity.