Vice President - Cyber Fraud Risk Analytics - Big Data

Designation: VP Cyber Fraud Analytics

Location: Mumbai Goregaon

Shift Time: 1pm to 10pm (dropping facility is available)

Experience: 10+yrs

Qualification:

Required: Bachelors degree in a quantitative discipline: Comp. Sc., Statistics, Operations Research, Engineering, Economics, Mathematics from a premier institution.

Preferred: Masters degree in a quantitative discipline: Comp. Sc., Statistics, Operations Research, Engineering, Economics

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

Lead and develop a talented team of Data Scientists

Make the best use of the available Big Data infrastructure & Data Science techniques to address Cyber Fraud Risk Management challenges

Lead development of system pipelines and interfaces focused towards automation & 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

Individual Contributor (IC)/Managerial: Managerial

Key Deliverables:

Leverage Big Data tools & techniques to conceptualize & implement advanced Risk Management Solutions

Contribute as a senior member in the Mumbai RS Risk & NAU Business Units leadership team

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.

He/she would be able to coach and guide the team to overcome scalability challenges & develop robust solutions.

The ideal candidate would bring in expertise on digital/online/mobile processes, and cyber / fraud risks.

The incumbent would have a proven track record of creating & leading high performance teams.

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.

Others:

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 & delegate effectively

Exposure of project/process management

Ability to set & meet high standards

Prerna