Data Analytics Lead Analyst - C13 - IRVING

The Data Analytics Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.

Responsibilities:

• Analyze and document business requirements for Consumer financial products including Cards, Mortgage, Deposits and loans, ensuring alignment with industry standards and regulatory needs.
• Lead and support CCAR, BASEL, Liquidity, Prudential and Capital reporting initiatives, ensuring compliance with evolving regulatory requirements.
• Collaborate with cross functional teams to enhance Data governance, automation, and reporting processes leveraging GenAI and Cloud platforms where applicable.
• Drive process improvements and technology adoption to optimize financial data provisioning and reporting efficiency.
• Contributes to data analytics standards around which others will operate.
• Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers.
• Resolves occasionally complex and highly variable issues.
• Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken.
• Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 6-10 years experience usisng codes for statistical modeling of large data sets

• Experience in Finance / Banking domain (On Retail products like Deposits, Mortgage , Cards )

  Experience in Data analysis / Data engineering and BigData

  Relational database experience with strong understanding of complex SQLs, performance tuning, stored procedures.

  Experience in any ETL tool such as Datastage, Abinitio, Hive, Hadoop etc.

  Knowledge of Regulatory reports such as CCAR, Liquidity, etc.

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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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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