Reporting Analysis - Data Analyst

Job description

Overall Objective: This is a senior-level individual contributor role for an experienced professional with a background in the mortgage and retail banking industry. The primary objective is to leverage expertise in SAS and/or Python to develop and maintain Management Information Systems (MIS), create insightful visualizations, and support regulatory deliverables for our Risk or Marketing teams. This individual will be a subject matter expert in mortgage industry MIS and will be responsible for providing data-driven insights to support strategic decision-making. Key Responsibilities: MIS Development: Design, develop, and maintain MIS reports and dashboards using SAS and/or Python to track key performance indicators and provide insights into business trends. Data Analysis and Visualization: Perform in-depth data analysis and create compelling visualizations to communicate findings to stakeholders. Mortgage Industry Expertise: Apply deep knowledge of the mortgage industry, including MIS and regulatory requirements, to ensure the accuracy and relevance of our reporting and analysis. Regulatory Reporting: Support the delivery of regulatory reports and ensure compliance with all relevant regulations. Data-driven Insights: Proactively identify trends, patterns, and anomalies in data to provide actionable insights and recommendations to the Risk or Marketing teams. Individual Contribution: Work as a high-performing individual contributor, taking ownership of projects and delivering high-quality work with minimal supervision. Qualifications: Experience: 8+ years of experience as an individual contributor in a major bank, working within Risk or Marketing teams with a focus on the mortgage and/or retail/commercial banking industry. Technical Skills: Programming: Expertise in SAS or Python for data analysis, MIS, and visualization. Database: Proficiency in SQL for data extraction and manipulation. Visualization Tools: Experience with visualization libraries in Python (e.g., Matplotlib, Seaborn) or other visualization tools is a plus. Domain Knowledge: Mortgage Industry: Deep understanding of the mortgage industry, including key metrics, MIS, and regulatory deliverables. Soft Skills: Business Acumen: Strong business acumen and the ability to translate data into actionable business insights. Analytical Mindset: A strong analytical mindset and a passion for working with data. Communication: Excellent communication and presentation skills, with the ability to explain complex analysis to a non-technical audience. Education: Master's degree in Computer Science or Statistics is required. ------------------------------------------------------ Job Family Group: Risk Management ------------------------------------------------------ Job Family: Portfolio Credit Risk Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Analytical Thinking, Constructive Debate, Escalation Management, Industry Knowledge, Policy and Procedure, Policy and Regulation, Process Execution, Product Knowledge, Risk Controls and Monitors, Risk Identification and Assessment. ------------------------------------------------------ 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.