Utilize advanced SQL for data extraction, manipulation, and analysis from various relational databases, data warehouses, and Big Data platforms.
Develop and maintain data visualization dashboards and reports using tools such as Tableau, Power BI, or QlikView, translating complex data into understandable business insights.
Lead the analysis of complex data sets to identify trends, patterns, and anomalies relevant to regulatory reporting, liquidity risk, and other critical financial functions.
Identify and communicate data-related risks and impacts and propose risk mitigation options, considering business implications of the application of technology to the current business environment.
Evaluate new data technologies, analytical tools, and evolving business requirements, and recommend appropriate systems alternatives and/or enhancements to current systems by analyzing business processes, systems and industry standards.
Serve as advisor or coach to new or lower level analysts.
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
8-12 years of experience as a Senior PySpark Python Data Engineer or similar role within the Financial Services industry, preferably in regulatory reporting (e.g., Basel, CCAR, FR 2052a) and liquidity risk.
Advanced proficiency in PySpark, Python, SQL for complex data querying, analysis, and optimization across large datasets.
Strong experience with relational databases (e.g., Oracle, SQL Server, DB2) and data warehousing concepts (e.g., dimensional modeling, star/snowflake schemas).
Demonstrated expertise with Big Data technologies including Hadoop, Spark (PySpark/Scala Spark), Kafka, and cloud-based data platforms (e.g., AWS S3, Databricks).
Demonstrated experience with data modeling tools and techniques.
Proficiency in data visualization tools (e.g., Tableau, Power BI, QlikView) and strong Excel skills for data manipulation and presentation.
Experience with scripting languages for data analysis (e.g., Python, R) is highly desirable.
Experience with data preparation for AI/ML models and understanding of core AI/ML concepts and workflows is highly desirable.
Comprehensive knowledge of data analysis principles, methodologies, and data governance frameworks.
Experience across all phases of the Software Development Life Cycle (SDLC), with a focus on data-centric projects.
Consistently demonstrates clear and concise written and verbal communication.
Demonstrated problem-solving and decision-making skills.
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements.
Education
Bachelor's degree/University degree or equivalent experience.
Master's degree preferred.
Job Family Group
Technology
Job Family
Applications Development
Time Type
Full time
- Most Relevant Skills
- Please see the requirements listed above.
- Other Relevant Skills
- For complementary skills, please see above and/or contact the recruiter.
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
