Experience required: 09+ years

Candidate should have strong exp. with AWS

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.

•       Good understanding or experience of working in AWS.

•       Proven track record of leading cross-functional teams to create state-of-the-art AI/ML artefacts.

•       Excellent written and verbal communication skills.

•       Strong understanding of fraud patterns and digital transaction behaviors.