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.

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