Manager - Fraud Analytics

  • Delhi, Gurgaon
  • 10-15 lakh
  • 5-7 years
  • Views
  • 21 Mar 2017

  • Business Analytics

  • Banking - Retail
Job Description

- Monitor our automated fraud screening application

- Assist in maintaining basic ecommerce duties including chargeback handling and review

- Maintain or exceed established standards for customer service, and resolves complex issues with little or no supervision or direction

- Perform manual fraud review in order to detect fraudulent transactions

- Review queued transactions and independently determine if the reviewed transactions are fraudulent or legitimate

C- onduct extensive research to validate purchases Contribute to how analytical approach is structured for specificatio of analysis

- Participate in design of analysis and modeling approach with senior managers and the client

- Drive project methodology with relative ease

- Emphasis is on ownership and executing end-to-end delivery of analysis

- Extremely comfortable working with data, including managing large number of data sources, analyzing data quality and pro-actively working with client's data/ IT teams to resolve issues

- Use variety of analytical tools (SAS, CART, SPSS etc.) and techniques (regression, logistic, GLM, decision trees, machine learning, artificial intelligence etc.) to carry out analysis and drive conclusions

- Reformulate highly technical information into concise, understandable terms for presentations.

- Must have a strong knowledge of SAS/R and SQL and good in Excel & MIS reporting.

Qualifications :

- Master's or Bachelor's degree in engineering, math, statistics, economics or related field from top-tier universities with a strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work

- 3+ years of consulting, analytics delivery experience and overall 3+ years of experience

- Very strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems required, overall 3+ Yrs of experience

- Basic knowledge of financial instruments - Options, Forwards, Futures etc.

- CFA/FRM are not mandatory but an added advantage

- Excellent communication skills - Ability to present analysis and findings to the senior leadership of the client

- Strong in SAS/R, SQL, Excel and VBA.

Competencies/Skill sets for this job

Sql Sas Glm Vba Machine Learning Customer Service Mis Regression

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