Credit Portfolio Analyst II - Financial Crimes (C10)

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 Global Fraud Prevention – Analytics & Modeling Group

The Analytics and Modeling Group is a part of the Global Fraud Prevention Organization of Citi and is accountable for end-to-end ownership of analytics across the fraud lifecycle supporting US and International markets for prevention strategy and analytic programs. The group is responsible for driving analytics strategies and roadmap including technology adoption and governance across all regions. Additionally, digital cyber fraud strategy, cyber alerting and global authorization functions fall under the scope of this group.

Job Description

HIRING MANAGER: Amit Bhatia (Interim)

POSTING JOB TITLE: Advanced Analytics Manager

OFFICER TITLE: Manager

BUSINESS GROUP: Global Consumer Bank (GCB)

DEPARTMENT: Analytics & Modeling Group

ORGANIZATION: Global Fraud Prevention

GOC: 31186526

GRADE/LEVEL: C-10

FUNCTION/FAMILY: Risk Management / Fraud Risk

LOCATION: Mumbai

ROLE & RESPONSIBILITIES

Business/ Department Objectives:

This role resides in the Advanced Analytics team which is part of the Global Fraud Prevention Analytics & Modeling organization, responsible for leveraging the latest analytical tools, techniques and big data to enhance fraud detection and mitigation capabilities for the Global Consumer Business. A key component is the team's capability is the Entity Linkage Framework (ELF), an award-winning big data application of graph theory and network analytics that enables unprecedented views of defined relationships.

Core Responsibilities:

Conceptualize and execute Fraud Prevention Big Data initiatives across all GCB Lines of Businesses (LOBs). Make the most effective use of the available Big Data infrastructure and Data Science techniques to address Fraud Risk Management challenges and implement optimal technical solutions. Partner closely with variety of cross-functional teams (e.g. Risk Policy, Fraud Strategy, Data Intelligence, IT/Infrastructure, Operations) to drive initiatives forward. Build effective presentations to communicate complex analysis and findings suitable for a wide array of audiences. Proactively plan and prioritize work according to criticality and shifting priorities/strategies, while balancing need to drive longer-term initiatives. Mentor and coach junior team members.

Note that working hours will be modified to support US and other regional-centric requirements.

QUALIFICATIONS

Education:

Required

Bachelor’s Degree required in statistics, mathematics, engineering, computer science, physics, economics, or related quantitative discipline from a premier institution

Preferred

Master’s degree in statistics, mathematics, engineering, computer science, physics, economics, or related quantitative discipline from a premier institution

Experience:

• 3+ years of relevant work experience.
• Strong understanding and experience working with machine learning algorithms, unstructured data and network science.
• Expertise on digital/online/mobile processes and understanding of related cyber/fraud risks.
• Enterprise experience working with Digital, Big Data mining tools and technology preferred.
• Experience with end-to-end project or process management.
• Experience working in a large, sophisticated credit granting organization with major credit card, financial services, retail or consulting business a plus.

Skills:

• Excellent quantitative and analytic skills and data-driven mindset; ability to derive patterns and formulate sound analytical constructs to test different hypothesis
• Hands-on experience working with large datasets on a Big Data platform like Hadoop stack (MapReduce & Spark) or AWS; strong programming experience in Python, R & SAS.
• Hands-on experience working with large datasets on a Big Data platform like Hadoop stack a plus.
• Effective in partnering with cross-functional teams and creating/sustaining network of strong client relationships.
• Excellent communicator with strong written and verbal communication skills; ability to create and deliver compelling presentations, translating complex material into narrative suitable to a variety of audiences.
• Solutions-oriented “can do” attitude, with ability to challenge status-quo and drive innovation via thought leadership while maintaining end-to-end view.
• Ability to prioritize work and make decisions independently with limited guidance from management.
• Extremely detail-oriented, with strong; intellectual curiosity. Ability to set and meet high standards.

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