Job Overview

Location
Hyderabad, Telangana
Job Type
Full Time
Date Posted
5 months ago

Additional Details

Job ID
25957
Job Views
249

Job Description

Your day to day 

  • Work closely with multiple large & strategic customers to consult and strategize on the approach in tackling fraud, and ensure Fraud Protection is deployed and performs well  

  • Regularly analyze large data sets to identify fraud patterns and implement necessary changes to the system 

  • Work on top of a state-of-the-art technology stack and together with a dedicated data science and engineering team to design and implement data driven solutions that operate at scale and in real-time

  • Be a clear subject matter expert of Fraud protection platform as well as developing risk solutions in specific fields (banking, finance, eCommerce)  

  • Make business recommendations to the executive and cross-functional teams with effective presentations of findings at multiple levels of stakeholders

  • Collate feedback from clients and work with cross functional teams to recommend, design and implement new product features 

  • Work with engineering teams to ensure best practices are followed for product deployment and solution implementation 


What do you need to bring

  • Bachelor’s Degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience

  • A minimum of 4 years of experience in advanced Data Analysis, Research, Risk and Fraud Investigation or Internet Industry

  • Experience with Python, SQL

  • Sound understanding of ML concepts like regression, classification etc.


Preferred Experience

  • MS/PhD Degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience

  • Experience in one of the following areas:  eCommerce, online payments, user trust/risk/fraud investigation/product abuse

  • Project Management experience and attention to detail with the ability to gets things done. 

  • Strong process improvement, prioritization, and multi-tasking capabilities

  • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact

  • Knowledge of database structures and/or working with Unix/Linux

  • Outstanding leadership, influencing, communication, interpersonal and teamwork skills

Qualification

Any Graduate

Experience Requirements

Fresher Experience

Location

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