The Specialized Analytics Lead Data Engineer for Internal Fraud Analytics at Citi Bank is expected to lead and manage data engineering projects focused on fraud detection and prevention. Candidates should have a strong background in data analytics, engineering, and fraud detection technologies. They must be proficient in programming languages such as Python or R, and have experience with big data technologies like Hadoop or Spark. The role requires excellent problem-solving skills, the ability to work collaboratively with cross-functional teams, and strong communication skills to present findings to stakeholders.
Citi Bank, a global leader in financial services, provides a broad range of banking, credit card, lending, and investment services to individuals and businesses worldwide. With a presence in over 100 countries, Citi Bank is committed to delivering innovative solutions and exceptional customer service. The bank is known for its strong emphasis on risk management, compliance, and corporate responsibility, ensuring a sustainable and ethical approach to banking. Citi Bank's diverse and inclusive work environment fosters professional growth and development, making it a preferred employer in the financial sector.
Malaysia, a vibrant Southeast Asian nation, offers a blend of modernity and tradition. The job market is diverse, with opportunities in finance, technology, and tourism. The culture is a rich tapestry of Malay, Chinese, and Indian influences, reflected in its festivals, cuisine, and architecture. The lifestyle is dynamic, with bustling cities like Kuala Lumpur offering a cosmopolitan experience, while islands like Langkawi provide serene getaways. Malaysia's visa policies are generally welcoming, with various options for expatriates. Relocation is facilitated by a well-developed infrastructure, affordable living costs, and a warm, multicultural society that embraces newcomers.
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