Specialist Data Scientist Job in Nice Interactive Solutions India Pvt Ltd

Position: Data Scientist

Location: Pune, India

NICE Actimize is comprised of talented, creative and dedicated individuals with a passion for delivering innovative solutions to the market. At NICE Actimize, we recognize that every employees contributions are integral to our companys growth and success. To find and acquire the best and brightest talent around the globe, we offer a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. Come share, grow and learn with us youll be challenged, youll have fun and youll be part of a fast growing, highly respected organization.

NICE Actimize is currently seeking an experienced Data Scientist to join our dynamic and growing Fraud & AML Analytics Services team.

Responsibilities

• Perform analysis to support the deployment of fraud prevention analytical models
• Analyze fraud cases obtained from clients
• Research data patterns in order to find patterns predictive of fraud
• Improve the quality and actual implementation of computational algorithms and tools
• Optimize the detection performance of NICE Actimize Fraud products and improve customers experience with our Fraud solutions
• Define product requirements for analytics and provide feedback to the product team on ways in which product may be improved
• Develop and enhance our solution-specific risk scores
• Measure the quality of the analytical performance of Fraud Products
• Develop tools to support model tuning, performance tracking and automation
• Develop custom detection logic for specific clients
• Help maintain and improve model development methodologies/practices.

Experience: 3 to 6 Years

Qualifications:

• Advanced degree in a quantitative area (statistics, mathematics, physics, computer science, engineering)
• Strong general analytical skills, Experience with statistical model development. Deep and diverse experience with multiple statistical procedures and data mining algorithms.
• Strong experience with using SQL and EXCEL.
• Strong programming skills in Python and ability to rapidly learn new programming tools.
• Exposure to other programming languages: R, SAS, Scala, Java, Python, Matlab, SPSS, VBA, including procedures, macros, and scripting.
• Experience of building and deploying classification and regression machine learning models at an enterprise level.
• Good oral and written communications skills, and ability to interact with engineers, software developers, project managers, business analysts, product managers and with clients.
• Ability to work in multi-disciplinary agile teams.
• Strong commitment to quality
• Customer facing experience a plus
• Innovative aptitude.

Additional Desired Qualifications:

• Experience in development of risk management models, particularly in the fraud, AML, or financial trade compliance areas.
• Knowledge of national and international financial systems and data standards.
• Experience with Business Intelligence platforms, methodologies (e.g. OLAP), and tools.