Citi

Director, Analytics and Data Science – Data Rules and Exception Management

Citi

full-time

Posted on:

Origin:  • 🇺🇸 United States • Florida

Visit company website
✨ AI Apply
Manual Apply

Salary

💰 $170,000 - $300,000 per year

Job Level

Lead

Tech Stack

D3.jsHadoopJavaPythonRubyRustSQLTableau

About the role

  • Senior leadership role leveraging advanced analytics and data science to drive enterprise-wide data quality and integrity; Employ data-driven approach to assess data quality rules, identify patterns, and predict downstream implications; Pinpoint data anomalies, perform root cause analysis, and translate complex data insights into remediation strategies and continuous improvement; Collaborate across data domains to ensure data fit-for-purpose and embed sustainable, analytically driven data quality practices; Data Quality Analytics, Trend Analysis, and Predictive Modeling: implement advanced statistical and analytical methods including machine learning and predictive modeling; Data Quality & Compliance: support development and refinement of data quality rules for finance datasets ensuring alignment with regulatory standards such as GDPR, SOX; Develop reporting and dashboards to track and communicate data quality and process metrics; Exception & Break Management: develop frameworks to identify analyze and resolve exceptions and breaks in data systems; Support use of data catalog, data lineage, data quality rules engines, exception workflow, and reporting capabilities; Data Governance & Regulatory Reporting: engage regulatory bodies and assist in communication of remediation status; Strategic Data Quality Leadership: engage senior stakeholders to influence priorities and drive adoption of Data Quality framework and tools; Audit & Risk Partnership: partner with internal audit compliance finance and risk management functions; Team & Capability Development: mentor and develop talent within data science team.

Requirements

  • 10+ years of experience in data science, data engineering, analytics, or a related field within the financial services industry; Proven experience managing complex data projects, particularly in financial data rule enforcement and exception management; Strong understanding of financial data structures, regulations, and market mechanics; Deep expertise in programming languages required (examples: Python, R, SQL, Java, Ruby, Rust); Strong statistical math skills required (examples: linear algebra, calculus and statistics are needed for Time Series Forecasting); Expertise in programming applications (e.g., Python, R, SQL), and databases (e.g. Hadoop); Skilled with data governance solutions (e.g., Collibra, Alation, Manta, Ab Initio, etc.) and financial software (e.g., Bloomberg, Reuters); Developed visual dashboards (examples: D3, Altair, Matplotlib, Tableau, Power BI); Experience with data governance and data quality management, particularly in relation to financial datasets; Advanced proficiency in predictive modeling, machine learning, and statistical analysis; Leadership experience with the ability to manage cross-functional teams and deliver complex projects; Strong strategic thinking and decision-making skills; Excellent problem-solving ability, particularly in high-pressure financial environments; Exceptional communication skills, with the ability to present complex analytical insights to senior executives and non-technical stakeholders; Bachelor's degree/University degree or equivalent experience; Master's degree preferred.