Job
Description
As a Data Analytics Senior Analyst at Citi's Compliance Trade Surveillance group, you will play a crucial role in delivering data projects to meet Independent Client Risk Management (ICRM) requirements. Your responsibilities will include: - Performing data analysis on large datasets across all asset classes and regions, drawing conclusions, and providing summaries for project and management reporting. - Acting as a risk manager, escalating any issues or roadblocks that may impact project delivery or the firm's operations. - Formulating and defining systems scope and objectives for complex projects by conducting research and fact-finding, combined with a deep understanding of applicable business systems and industry standards. - Consulting with users and clients to solve complex system issues through a comprehensive evaluation of business processes, systems, and industry standards, and recommending solutions. - Working with front, middle, and back-office upstream technology systems to source, migrate, onboard, and resolve data-related issues. Your qualifications for this role should include: - 8-12 years of experience using tools for statistical modeling of large datasets. - Strong understanding of financial products, Market Data knowledge, and the trading lifecycle. - Ability to effectively use complex analytical, interpretive, and problem-solving techniques. - Demonstrated interpersonal, verbal, and written communication skills. - 5 years of experience using JIRA, Confluence, and SQL, with a working knowledge of Python. You should possess a Bachelors/University degree or equivalent experience, with a discipline in Finance or Computer Science being a plus. This job description offers a high-level overview of the work involved, and other job-related duties may be assigned as needed. As a Data Analytics Senior Analyst at Citi's Compliance Trade Surveillance group, you will play a crucial role in delivering data projects to meet Independent Client Risk Management (ICRM) requirements. Your responsibilities will include: - Performing data analysis on large datasets across all asset classes and regions, drawing conclusions, and providing summaries for project and management reporting. - Acting as a risk manager, escalating any issues or roadblocks that may impact project delivery or the firm's operations. - Formulating and defining systems scope and objectives for complex projects by conducting research and fact-finding, combined with a deep understanding of applicable business systems and industry standards. - Consulting with users and clients to solve complex system issues through a comprehensive evaluation of business processes, systems, and industry standards, and recommending solutions. - Working with front, middle, and back-office upstream technology systems to source, migrate, onboard, and resolve data-related issues. Your qualifications for this role should include: - 8-12 years of experience using tools for statistical modeling of large datasets. - Strong understanding of financial products, Market Data knowledge, and the trading lifecycle. - Ability to effectively use complex analytical, interpretive, and problem-solving techniques. - Demonstrated interpersonal, verbal, and written communication skills. - 5 years of experience using JIRA, Confluence, and SQL, with a working knowledge of Python. You should possess a Bachelors/University degree or equivalent experience, with a discipline in Finance or Computer Science being a plus. This job description offers a high-level overview of the work involved, and other job-related duties may be assigned as needed.
