Data Scientist

3 - 8 Years

Job Description

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
Analyse effectiveness of fraud models to constantly improve tools, procedures, and workflows that minimize fraud/risk and enhance customer experience.
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.
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.
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
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)
Performing and Leveraging data science methods such as SVM, neural nets, regression, decision trees, and ensemble techniques to develop proprietary algorithms

Salary: INR As per current industry standards with benefits

Industry:Banking / Financial Services / Broking

Functional Area:IT Software - Application Programming, Maintenance

Role Category:Programming & Design

Role:Database Architect/Designer

Employment Type:Permanent Job, Full Time


Desired Candidate Profile

Experience in database such as SQL, Hadoop, NoSQL, and Massively Parallel Processing (MPP) databases.
Proficient and ability to code and develop prototypes in programming languages in Python, PySpark, Flink, flume etc
Build complex analytical concepts/models related to Fraud
Demonstrated analytic agility.
Should have relevant work experience and has worked on Fraud Models in the earlier organisations.
Experience in delivering solutions using large datasets and data wrangling both structured and unstructured data.
Comfortable with relational and non-relational databases and API development
Hands on Experience in deep learning, neural networks etc
Ability to work in a fast-paced and deadline driven environment
Strong work ethics like sense of collaboration and ownership, result orientation, being team player
Ability to productionize models for real time processing using open source technologies like Spark , flink , flume etc

Company Profile

National Payments Corporation of India

National Payments Corporation of India (NPCI) is the newly established company promoted by banks of India with an objective to build robust and state of the art national level retail electronic payment system infrastructure in the country
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Recruiter Name:HRD

Contact Company:National Payments Corporation of India