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NPCI Notification 2018 for AM/DGM Post

NPCI Notification 2018.National Payments Corporation of India, NPCI has released a notification for the recruitment of  Assistant Manager/ Deputy Manager vacancies.Check the eligiblity and notification prior to apply for the positions.

Total No.of Posts:01

Closing date:07-07-2018

Name of the Post and Vacancies:


Assistant Manager/ Deputy Manager - 01

Job Location: Hyderabad

Qualification Details:
AM/DM.- FRAUD ANALYTICS – DATA SCIENCE
i. Qualification: Graduate/Post Graduate in Engineering or preferably PhD from Tier -1 institutes with coursework in operation research, statistics, machine learning or programming Academic/Consulting backgrounds and relevant knowledge of Cards & Payment Industry/BFSI

ii. Experience: Minimum of 2/4/6 years of fraud analytics experience with focus on statistical/quantitative modelling and/or machine Learning tools (R, Python, Julia etc.) and in using various database tools (e.g. Hadoop, SQL, Spark-MLIB) processing large volumes of structured and unstructured data Strong understanding of risk and fraud management BFSI domain is desired

iii. Knowledge/Skills:
1. Experience in database such as SQL, Hadoop, NoSQL, and Massively Parallel Processing (MPP) databases.
2. Proficient and ability to code and develop prototypes in programming languages in Python, Julia, Spark
3. Build complex analytical concepts/models related to Fraud
4. Demonstrated analytic agility.
5. Should have relevant work experience and has worked on Fraud Models in the earlier organisations.
6. Professional team player and ability to adapt dynamic work environment with a high degree of change
7. Comfortable with relational and non-relational databases and API development

iv. Salary: INR As per the industry standard

Address:
National Payments Corporation of India 1001A, B wing, 10th Floor, The Capital, Bandra-Kurla Complex, Bandra (East), Mumbai – 400 051

Job Description:
i. Be a Liaison between Data Analytics and Fraud/Risk management team and drive to help companies better understand fraud and how to resolve these issues across industry/line of business and technologies using data and analytics

ii. Analyse effectiveness of fraud models to constantly improve tools, procedures, and workflows that minimize fraud/risk and enhance customer experience.

iii. Should have analytical bent of mind. Uses best practices to understand the data and develop fraud statistical, machine learning techniques to build models that address business needs.

iv. Collaborates with the team in order to improve the effectiveness of fraud business decisions through the use of data and machine learning/predictive modelling. Ability to stretch, learn and deliver with stricter Timelines and non-negotiable SLA TATs.

v. Analysis of data to identify fraud and provide insights into fraud solution and fraud workflow analysis and contribute towards the success of our fraud analytics initiatives

vi. Transform data into insights, to identify and quantify opportunities to reduce fraud and false positive into a positive business impact. Use and leveraging internal and external Fraud tools as part of our Fraud operations (e.g., Python, SQL, Spark)

Selection Procedure:
Selection Will be Based either Written Exam/Interview

Interesed Candidates Can Apply on or before 07.07.2018

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