AVP Cyber Fraud Risk Big Data

Citibank - More jobs by this advertiser
AVP Cyber Fraud Risk Big Data-18038808
 Job Description
  • Position Title: Assistant Vice President
  • Grade/Level: C – 12
  • Business Group: Global Consumer Bank
  • Function/Group: Financial Crimes Protection Group
  • Department: Cyber Fraud Risk - Big Data
  • Location: Mumbai
Role & Responsibilities: Business/Department Objectives:
  • The Financial Crimes Fraud Risk team develops & implements strategies that detect & mitigate fraud losses
  • Cyber Fraud Risk - Big Data team is responsible to lead Big Data initiatives to enhance Cyber Fraud Risk Management solutions for all GCB lines of businesses
Core Responsibilities:
  • Conceptualize & execute various Financial Crimes Cyber Fraud Risk Management Big Data initiatives across all GCB LOBs
  • Make the best use of the available Big Data infrastructure & Data Science techniques to address Cyber Fraud Risk Management challenges
Day-to-Day Responsibilities:
  • Partner with different teams viz. Policy, Data Intelligence, Infrastructure, Operations etc. to drive the projects forward
  • Work efficiently in a matrix environment balancing between both business and functional interactions and priorities
  • Make presentations targeting a variety of audiences
Financial/Budgetary: NA Individual Contributor (IC )/Managerial: Individual Contributor  Key Deliverables:
  • Leverage Big Data tools & techniques to conceptualize & implement advanced Risk Management Solutions
Percentage of Travel:  No Relocation: Yes
 Qualifications: Education:
  • Bachelor’s degree in a quantitative discipline: Comp. Sc., Statistics, Operations Research, Engineering, Economics, Mathematics from a premier institution
  • Master’s degree in a quantitative discipline: Comp. Sc., Statistics, Operations Research, Engineering, Economics, Mathematics, or an MBA from a premier institution
  • 8+ years of relevant experience 
  • The ideal candidate will have experience in a large, sophisticated credit granting or risk management organization within a major consumer card, financial services, retailing or consulting business
  • This individual will bring a strong analytical orientation, an appreciation for broad-based risk issues, enterprise experience of working with Digital, BIG DATA mining tools & techniques, and a familiarity with operations
  • He/she will have a good understanding of Risk Management issues with an ability to identify/build the optimal technological solution
  • The individual should have strong understanding & experience of working with Machine Learning algorithms, Unstructured data & Network science
  • He/she would have hands-on experience of working with large datasets on a Big Data platform like Hadoop stack (MapReduce & Spark) or AWS; with a strong programming experience in Python, R & SAS
  • The ideal candidate would bring in expertise on digital/online/mobile processes, and cyber/fraud risks
  • He/she would have the ability to work with cross functional teams; create and sustain a network of strong client relationships
  • The ideal candidate would have experience of working efficiently in a matrix environment, balancing between both business and functional interactions and priorities
  • Analytical & data-driven mindset; ability to formulate sound analytical constructs to test different hypothesis
  • Solution oriented, positive, “can-do” attitude
  • Strong communication and presentation skills targeting a variety of audiences
  • Strong influencing, negotiating, and facilitation skills; and ability to manage stake-holder expectations
  • Executive presence
  • Ability to multi-task
  • Exposure of project/process management
  • Ability to set & meet high standards

8 August 2019
Location: India Marche Mumbai
Work type:
Full time
Banking and Financial Services
PLEASE! No enquiries from Recruitment Agencies or Headhunters.

Only direct applications will be considered.

This career opportunity is no longer open.
Please search for current vacancies here.

Bookmark and Share
  • Previous Next

This website uses cookies

This website uses cookies to improve user experience. By using our website you consent to all cookies in accordance with our Cookie Policy.
I agree
Read more