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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.
Job Responsibility:
Design, develop, and maintain MIS reports and dashboards using SAS and/or Python to track key performance indicators and provide insights into business trends
Perform in-depth data analysis and create compelling visualizations to communicate findings to stakeholders
Apply deep knowledge of the mortgage industry, including MIS and regulatory requirements, to ensure the accuracy and relevance of our reporting and analysis
Support the delivery of regulatory reports and ensure compliance with all relevant regulations
Proactively identify trends, patterns, and anomalies in data to provide actionable insights and recommendations to the Risk or Marketing teams
Work as a high-performing individual contributor, taking ownership of projects and delivering high-quality work with minimal supervision
Requirements:
10+ years of experience as an individual contributor in a major bank, working within Risk or Marketing teams with a focus on the mortgage and retail banking industry
Expertise in SAS or Python for data analysis, MIS, and visualization
Proficiency in SQL for data extraction and manipulation
Experience with visualization libraries in Python (e.g., Matplotlib, Seaborn) or other visualization tools is a plus
Deep understanding of the mortgage industry, including key metrics, MIS, and regulatory deliverables
Strong business acumen and the ability to translate data into actionable business insights
A strong analytical mindset and a passion for working with data
Excellent communication and presentation skills, with the ability to explain complex analysis to a non-technical audience
Master's degree in Computer Science or Statistics is required
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