Job Purpose:

As a vital member of Portfolio Management Analytics – Data & Platform team within the global Institutional Credit Management (ICM) group, you will be at the forefront of designing, developing, and deploying large-scale data solutions that fortify our firm’s risk management strategies. Your expertise will play a crucial role in enhancing our data-driven decision-making processes, ensuring robust and effective risk management across the organization.

Job Background/Context:

ICM is a critical component of Citi’s First Line of Defense for wholesale and counterparty credit risk management. ICM works with Independent Risk teams to ensure best-in-class risk, controls, and client responsiveness. Key responsibilities of the group include stress testing, exposure monitoring, risk identification, and credit analysis. ICM coordinates with credit management groups across ICG businesses to ensure full alignment on business and regulatory goals, as well as consistency and best practices where appropriate.

Responsibilities:

• Design and deploy big data flows tailored to business needs for Portfolio Health Monitoring, Covenant Monitoring, Exception Management, Limits Management, Early Warning Credit Management, and Counterparty Credit Risk Management
• Work with large and complex data sets, both internal and external, to evaluate, recommend, and support the implementation of credit risk strategies using a variety of programming tools
• Responsible for ensuring compliance with all Risk and Control requirements throughout the technical process, including documentation, testing, and ongoing performance monitoring

Developmental Value:

• Opportunity to expand your role as the function grows
• Gain extensive knowledge in risk management and financial products
• Influence the strategic direction of the Bank from a risk management perspective
• Collaborate with a diverse and global team of professionals in London, Singapore, and New York

Skills and Experience:

• 4 plus years of relevant experience in data engineering/ Hadoop development/ advanced analytics/ modeling
• Proven experience working with large and complex data sets
• Experience with data engineering techniques and tools such as Spark, SQL, Python, Tableau, etc
• Understanding and project experience of data management such as data pipeline, data structure and data quality governance
• Proficient in Agile project management tools, such as Jira, Bitbucket, and Confluence

Education:

• Bachelor’s degree in mathematics, science, or a related field

Competencies:

• Advanced analytic ability and problem-solving skills to proactively address business questions with innovative data driven solutions
• Ability to deploy large complex data processes in a standardized and sustainable manner from inception to implementation
• Entrepreneurial
• Ability to present and explain technical information
• Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to work environment
• Ability to work independently as well as in a team environment

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Primary Location:

New York New York United States

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Primary Location Full Time Salary Range:

$121,200.00 - $181,800.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Anticipated Posting Close Date:

Aug 14, 2024

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Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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