We are looking for Vice President - Cyber Fraud Risk - Big Data for Investment Bank, Mumbai
Role and Responsibilities:
Business/Department Objectives:
- The Financial Crimes Fraud Risk team develops and implements strategies that detect and 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 and execute various Financial Crimes Cyber Fraud Risk Management Big Data initiatives across all GCB LOBs
- Lead and develop a talented team of Data Scientists
- Make the best use of the available Big Data infrastructure and Data Science techniques to address Cyber Fraud Risk Management challenges
- Lead development of system pipelines and interfaces focused towards automation and enhanced user experience
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
Key Deliverables:
- Leverage Big Data tools and techniques to conceptualize and implement advanced Risk Management Solutions
- Contribute as a senior member in the Mumbai RS Risk and NAU Business Unit's leadership team
Qualifications
Experience:
10+ years of relevant experience
Skills:
- Experience in a large, sophisticated credit granting or risk management organization within a major consumer card, financial services, retailing or consulting business
- Strong analytical orientation, an appreciation for broad-based risk issues, enterprise experience of working with Digital, BIG DATA mining tools and techniques, and a familiarity with operations
- Good understanding of Risk Management issues with an ability to identify/build the optimal technological solution
- Strong understanding and experience of working with Machine Learning algorithms, Unstructured data and Network science
- Hands-on experience of working with large datasets on a Big Data platform like Hadoop stack (MapReduce and Spark) or AWS; with a strong programming experience in Python, R and SAS
- Able to coach and guide the team to overcome scalability challenges and develop robust solutions
- Expertise on digital/online/mobile processes, and cyber/fraud risks
- Proven track record of creating and leading high performance teams
- Ability to work with cross functional teams; create and sustain a network of strong client relationships
- Working efficiently in a matrix environment, balancing between both business and functional interactions and priorities
Please help with your updated resume and correct details if you would like to go for this opportunity;
Total experience:
Current company:
Current CTC:
Expected CTC:
Notice period:
Current location:
Preferred location:
Reason for change:
Qualification:
Amol Yadav
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