Reporting Analysis - Data Analyst

CitiGurugram, HaryanaOn-siteFull-timeStaff, 8–12 yearsListed 4 hours ago

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About this role

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.

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## Job Family Group:
Risk Management
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## Job Family:
Portfolio Credit Risk Management
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## Time Type:
Full time
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## 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.
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## Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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