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Manager - Fraud Risk Specialist - Fraud Analytics Team

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Manager - Fraud Risk Specialist - Fraud Analytics Team

Bank Jobs
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Description

Client Details

Citi

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients

Citi's Mission and Value Proposition explains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients and the public's trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities

Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop to are widely available to all.

Job Description

Citi is looking for an energetic, motivated professional to join its Fraud Analytics team as fraud risk specialist. In this role, you will be tasked to prevent financial crime by developing fraud mitigation strategy and models.

Primary Responsibilities Include
• Analysis of customer data and transactional data to identify emerging fraud trends, develop, and improve fraud strategies
• Lead and recommend process/logic change to drive efficiency and enhance customer experience.
• Focus on development of tactical and strategic solutions with high visibility for key stakeholders.
• Periodic review and development of MIS reports, dashboards and communication of fraud results internally and to the business using advanced visualization techniques.
• Work with various stakeholders during strategy development and conversion efforts to identify and fulfill data/analytical needs; develop comprehensive transition plan
• Provide actionable insights to senior global stakeholders by leveraging data analytics.
• Work with various stakeholders during strategy development and conversion efforts to identify and fulfill data/analytical needs; develop comprehensive transition plan

Job Skills/Qualifications
• Bachelors degree in Statistics, Economics, Finance, Mathematics or a related quantitative field
• Engineering /MBA background from a premier institute.
• Minimum 6+ years of hands-on analytical experience and 1+ years of leading a team
• Minimum 5+ years experience in statistical analysis with working knowledge of at least one of the following statistical software packages: SAS (Must), Tableau, R or Python
• Model development and governance experience in risk domain.
• Experience in fraud strategy/processes and/or fraud analytics is a plus.
• Excellent presentation skills to eloquently explain and drive the agenda.
• Ability to manage multiple initiatives simultaneously
• Strong verbal and written communication skills; experience with stakeholder management
• Successful candidate will have a demonstrable analytic, problem solving, and leadership skills, and has the ability to deliver projects in a fast-paced environment.

Job Details
• Experience - 5 - 8 Years
• Annual Salary - 13 LPA-27 LPA INR
• Work Location - Pune, Haryana, India

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