AVP - Cyber Fraud Risk Big Data - Banking Captive

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

Education:

- Bachelor's degree in a quantitative discipline: Comp. Sc., Statistics, Operations Research, Engineering, Economics, Mathematics from a premier institution

Preferred:

- Master's degree in a quantitative discipline: Comp. Sc., Statistics, Operations Research, Engineering, Economics, Mathematics, or an MBA from a premier institution

Experience:

- 6+ years of relevant experience

Skills:

- 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

Other:

- 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