Manager - Cyber Fraud Advanced Analytics

Citi

Qualifications:

 

Required:

 

Education: 

  • Bachelor’s Degree required in statistics, mathematics, engineering, computer science, physics, economics, or related quantitative discipline from a premier institution

Preferred:

  • Master’s Degree in statistics, mathematics, engineering, computer science, physics, economics, or related quantitative discipline from a premier institution

Experience:

  • 5+ years of relevant work experience
  • Strong understanding and experience working with machine learning algorithms, unstructured data and network science
  • Expertise on digital/online/mobile processes and understanding of related cyber/fraud risks
  • Enterprise experience working with Digital, Big Data mining tools and technology preferred
  • Experience with end-to-end project or process management
  • Experience working in a large, sophisticated credit granting organization with major credit card, financial services, retail or consulting business a plus

Skills: 

  • Excellent quantitative and analytic skills and data-driven mindset; ability to derive patterns and formulate sound analytical constructs to test different hypothesis
  • Hands-on experience working with large datasets on a Big Data platform like Hadoop stack (MapReduce and Spark) or AWS; strong programming experience in Python, R and SAS
  • Hands-on experience working with large datasets on a Big Data platform like Hadoop stack a plus
  • Effective in partnering with cross-functional teams and creating/sustaining network of strong client relationships
  • Excellent communicator with strong written and verbal communication skills; ability to create and deliver compelling presentations, translating complex material into narrative suitable to a variety of audiences
  • Solutions-oriented “can do” attitude, with ability to challenge status-quo and drive innovation via thought leadership while maintaining end-to-end view
  • Ability to prioritize work and make decisions independently with limited guidance from management
  • Extremely detail-oriented, with strong; intellectual curiosity. Ability to set and meet high standards

Qualifications:

 

Required:

 

Education: 

  • Bachelor’s Degree required in statistics, mathematics, engineering, computer science, physics, economics, or related quantitative discipline from a premier institution

Preferred:

  • Master’s Degree in statistics, mathematics, engineering, computer science, physics, economics, or related quantitative discipline from a premier institution

Experience:

  • 5+ years of relevant work experience
  • Strong understanding and experience working with machine learning algorithms, unstructured data and network science
  • Expertise on digital/online/mobile processes and understanding of related cyber/fraud risks
  • Enterprise experience working with Digital, Big Data mining tools and technology preferred
  • Experience with end-to-end project or process management
  • Experience working in a large, sophisticated credit granting organization with major credit card, financial services, retail or consulting business a plus

Skills: 

  • Excellent quantitative and analytic skills and data-driven mindset; ability to derive patterns and formulate sound analytical constructs to test different hypothesis
  • Hands-on experience working with large datasets on a Big Data platform like Hadoop stack (MapReduce and Spark) or AWS; strong programming experience in Python, R and SAS
  • Hands-on experience working with large datasets on a Big Data platform like Hadoop stack a plus
  • Effective in partnering with cross-functional teams and creating/sustaining network of strong client relationships
  • Excellent communicator with strong written and verbal communication skills; ability to create and deliver compelling presentations, translating complex material into narrative suitable to a variety of audiences
  • Solutions-oriented “can do” attitude, with ability to challenge status-quo and drive innovation via thought leadership while maintaining end-to-end view
  • Ability to prioritize work and make decisions independently with limited guidance from management
  • Extremely detail-oriented, with strong; intellectual curiosity. Ability to set and meet high standards

APAC-IND-MH-Mumbai Risk Management Full-time Bachelor's Degree Day Job Regular No Nirlon Knowledge Park, B 7 South, Ground floor, Goregaon East Mumbai 400063

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Confirmed 7 hours ago. Posted 29 days ago.

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