Lead/Manager - Banking Fraud Analytics - IT

Position: Lead/ Manager-Banking Fraud Analytics (Leading MNC IT Company)

Role:

- Build analytic models using a variety of machine learning and advance analytics techniques such as logistic regression, decision tree, Neural Networks and pattern recognition

- Assist in the creation of Fraud models by working with customers to identify data sources and collecting the data in a useable format for modelling

- Analyze and understand large amounts of historical fraud and risk data to determine suitability for use in models and then build and test those models

- Work with technical and development teams to deploy models

- Build Model documentation and Performance Reports for all models

- Sales support for Fraud products by providing analytic expertise in presentations to clients as needed

- Carry out end to end delivery including requirements, solution design, analysis, modelling and business recommendation

- Must have a solid understanding of business drivers and how data is used to inform and drive decisions and behaviours

- Responsible for conducting complex analysis using statistical and other quantitative techniques

- Ensure delivery of the project as per timelines

- Associate would work closely with stakeholder to develop models and analytics solutions as applicable

- Manage communication and stakeholder expectations

- Hands on experience on statistical tools like SAS & R

Requirements:

- Bachelors degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics or Information Technology

- M.Sc. Statistics/ B.Sc Statistics

- 6-12 years of experience working in analytics with at least 3-4 yrs of experience in building predictive models in the area of Fraud Analytics, mainly in Banking and Financial Services

- Proven experience in building and deploying models

- Background and experience in machine learning, statistics, mathematics or engineering

- Experience with SAS, JAVA, R, or Python (experience with more than one is preferred)

- Proven experience with large sets of data

- Experience working with banking, credit card, debit card, payment fraud, bust-out, first-party fraud or AML risk modelling

- Excellent communication skills, both verbal and written

- Strong analytical and problem-solving skills

- Expertise in Microsoft Word, Microsoft PowerPoint, Microsoft Excel

Location: Bangalore