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TransOrg , Data Scientist , Risk Analytics

  • 4-7 yrs
  • Not Disclosed

Job Description

Job Description , Data Scientist , Risk Analytics Why would you like to join us?TransOrg Analytics is a Big Data and Machine Learning solutions and services company which offers advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. Our Automated Machine Learning product , , Clonizo, has yielded significant incremental benefits to our clients. TransOrg has won accolades such as , Top 50 Employers, by the Silicon Review magazine, , Predictive Analytics Company of the Year, and , Top 50 Big Data Companies, by the CIO Review magazine. Visit us at www.transorg.comWhat do we expect from you?, Own the customer or acquisition risk management for credit cards form risk strategy perspective, Analyze authorizations, line increases and line decreases, Conduct detailed portfolio quality tracking and suggest policy changes as and when required, Lead acquisition quality tracking and suggest policy changes as and when required, Closely work with systems team to help implement the portfolio intervention or acquisition strategies, Co,ordinate with internal MIS design team to ensure appropriate tracking, Drive discussions with partners around cutoff changes , policy changes , product launchesWhat do you need to excel at?, Understand banking and financial services domain, Adept in quantitative analysis, data mining, trend analysis and customer profiling, Should be able to handle assigned tasks in the capacity of Team Lead, Demonstrate excellent teamwork, Collaborate with other data analysts to provide development coverage, support, and knowledge sharing and mentoring of junior team members, Interact with senior business leadersWhat are we looking for?, Bachelors in Computer Science, Engineering, Statistics, Mathematics or related quantitative degree, 4,7 years of hands,on experience with Python,R, SQL and Excel is must., Basic knowledge of SAS is a plus, Experience in Banking,Financial services domain, Risk analytics background, Experience of managing a small team, Should have sound experience in data mining and data analysis, Excellent critical thinking, verbal and written communications skills, Ability and desire to work in a proactive, highly engaging, high,pressure and client service environment