Fraud Analyst - Banking

- Banking domain preferred

- Support Model development process to counter fraudulent activities

- Accordingly, the associate in this position should be able to perform any of the following activities: data mining, analyze large databases, perform specified modeling tasks, create specified modeling codes, document data mining, procedures and models and work with other team members on modeling related issues.

Model Development & Threshold tuning for Fraud models:

- Data extraction, preparation & generating audit reports

- Developing Sampling methodology, execution of sampling plan & documentation

- Analyze sample review results and propose new thresholds

- Development of Machine Learning models

- Development of Logistic regression, decision tree, scoring models

- Defend model methodology approach with different stakeholders

- Documentation of proposed approach

- Participate in project meetings

Other responsibilities will include:

- Work on improving the process and making it efficient within business constraints

- Meet all the process SLAs as defined by the business partner.

- Maintain documents for compliance reasons

- Take up other productivity improvement projects as identified by team lead

Exp:

- Prior experience in Fraud model development / validation will be preferred

- ~3-8 years of strong experience in banking / financial sector

- Mandatory hands-on experience in Fraud model development

- Mandatory excellent knowledge in SAS, SQL / Python

- Mandatory working with large databases