Send me more jobs like this

Sorry, This job is expired.

Manager, Cyber Fraud Risk - Big Data

Keywords / Skills : SAS, Consulting, Financial services, Data mining, Risk management, Loans, Process management, Information security, Operations research, Analytical

Posted: 2019-01-13

Industry
Recruitment/Staffing/RPO
Function
IT
Role
H/W Installation/ Maintenance Engg
Posted On
13th Jan 2019
Job Ref code
211218900970
Job Description

About Global Consumer Bank

Citi s Global Consumer Bank (GCB), a global leader in credit cards, wealth management and commercial banking, serves as a trusted partner to more than 110 million customers in 19 countries worldwide, providing financial services that enable growth and economic progress. The Global Consumer Bank operates four business lines Branded Cards, Retail Services, Retail Banking and Commercial Banking in three priority markets: Asia, Mexico and the U.S. Over the past few years, our business has transformed to become a simpler, leaner, focused franchise.

The journey to becoming a world- class digital bank tangibly accelerated in 2016. A mobile- first strategic focus and deployment of a new, agile operating model fostered massive improvements in the design and delivery of digital features and in the customer experience. The implementation of a uniform technology platform was completed, and the franchise saw significant growth in the number of digital users, mobile downloads and digital engagement. We forged a number of digital payments solutions and partnerships to deliver scale, convenience and ease. And Citi FinTech, a new unit charged with developing next- generation mobile banking capabilities through co- creation with clients, delivered a new set of mobile features in the U.S., making Citi the first global bank to integrate banking, money movement and wealth management on mobile.

GCB operated approximately 2, 650 branches and generated $7.8 billion in pretax earnings, representing 37 percent of Citicorp s total. In 2016, our GCB business held $300 billion in average deposits, managed $139 billion in average assets and included $280 billion in average loans.

About Financial Crimes Protection Group

With increasing focus on Digital, it is imperative for us at Citi to further protect our customers and our franchise from the emerging environmental risks related to financial fraud- and this has led to the setting up of the GCB Financial Crimes Protection Group.

This team is putting in efforts to protect our customers and our business by standardizing our approaches, leveraging best practices throughout GCB, ensuring alignment between the Fraud teams, our Cyber and Information Security teams, CSIS, Risk, the individual lines of business, and our regions.

Role Outline / Job Summary

The successful candidate will be responsible for developing & executing Big Data initiatives geared to enhance Financial Crimes Risk Management solutions for GCB.

Job Description

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, Yes, 10% of the Time, Yes, 25% of the Time, Yes, 50% of the Time, Yes, 75% of the Time, Yes, 100% of the Time

Relocation: Yes

Qualifications:

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:

2- 5 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

Organizational Relationship

Reports to

Direct: Senior Vice President Financial Crimes Big Data Team Desired Candidate Profile

About Global Consumer Bank

Citi s Global Consumer Bank (GCB), a global leader in credit cards, wealth management and commercial banking, serves as a trusted partner to more than 110 million customers in 19 countries worldwide, providing financial services that enable growth and economic progress. The Global Consumer Bank operates four business lines Branded Cards, Retail Services, Retail Banking and Commercial Banking in three priority markets: Asia, Mexico and the U.S. Over the past few years, our business has transformed to become a simpler, leaner, focused franchise.

The journey to becoming a world- class digital bank tangibly accelerated in 2016. A mobile- first strategic focus and deployment of a new, agile operating model fostered massive improvements in the design and delivery of digital features and in the customer experience. The implementation of a uniform technology platform was completed, and the franchise saw significant growth in the number of digital users, mobile downloads and digital engagement. We forged a number of digital payments solutions and partnerships to deliver scale, convenience and ease. And Citi FinTech, a new unit charged with developing next- generation mobile banking capabilities through co- creation with clients, delivered a new set of mobile features in the U.S., making Citi the first global bank to integrate banking, money movement and wealth management on mobile.

GCB operated approximately 2, 650 branches and generated $7.8 billion in pretax earnings, representing 37 percent of Citicorp s total. In 2016, our GCB business held $300 billion in average deposits, managed $139 billion in average assets and included $280 billion in average loans.

About Financial Crimes Protection Group

With increasing focus on Digital, it is imperative for us at Citi to further protect our customers and our franchise from the emerging environmental risks related to financial fraud- and this has led to the setting up of the GCB Financial Crimes Protection Group.

This team is putting in efforts to protect our customers and our business by standardizing our approaches, leveraging best practices throughout GCB, ensuring alignment between the Fraud teams, our Cyber and Information Security teams, CSIS, Risk, the individual lines of business, and our regions.

Role Outline / Job Summary

The successful candidate will be responsible for developing & executing Big Data initiatives geared to enhance Financial Crimes Risk Management solutions for GCB.

Job Description

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, Yes, 10% of the Time, Yes, 25% of the Time, Yes, 50% of the Time, Yes, 75% of the Time, Yes, 100% of the Time

Relocation: Yes

Qualifications:

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:

2- 5 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

Organizational Relationship

Reports to

Direct: Senior Vice President Financial Crimes Big Data Team

About Company

Citicorp Services India Pvt Ltd Citicorp Services India Pvt Ltd
Walkin for you