Risk Analytics & Reporting – Vice President

Citi

. Design, develop, and maintain MIS reports and dashboards using SAS and/or Python .

Posted 10/30/2026full-timeGurugram • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in Python, SAS, and SQL for data analysis and reporting within the mortgage industry, ensuring compliance with regulatory requirements while delivering actionable insights. Possesses strong communication skills to effectively present complex data findings to stakeholders.

Highest-signal resume keywords

Advanced Python ProficiencyExpert SQL QueryingData Visualization with Python LibrariesDeep Understanding of Mortgage IndustryMaster's Degree in Computer Science or Statistics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSASSQLData AnalysisData VisualizationPerformance TuningLinux/Unix Shell ScriptingGitAutomated Workflow SchedulingMIS Reporting

Soft Skills

Analytical MindsetBusiness AcumenCommunication SkillsPresentation Skills

Tools & Technologies

PySparkHadoopHiveImpalaMatplotlibSeabornBI PlatformsAutosysAirflow

Industry Keywords

Mortgage IndustryRegulatory ComplianceKey Performance IndicatorsBusiness TrendsRisk ManagementMarketing Teams

Tech Stack

Tools & technologies

AirflowHadoopLinuxPySparkPythonShell ScriptingSQLUnix

About the role

Key responsibilities & impact

Design, develop, and maintain MIS reports and dashboards using SAS and/or Python
Track key performance indicators and provide insights into business trends
Perform in-depth data analysis and create visualizations to communicate findings to stakeholders
Apply mortgage industry knowledge, including MIS and regulatory requirements, to reporting and analysis
Support delivery of regulatory reports and ensure compliance with relevant regulations
Identify trends, patterns, and anomalies in data and provide actionable insights and recommendations to Risk or Marketing teams
Work as a high-performing individual contributor, taking ownership of projects and delivering high-quality work with minimal supervision

Requirements

What you’ll need

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/or retail/commercial banking industry
Advanced hands-on proficiency in Python, PySpark, and SAS (Base SAS, Macros, PROC SQL)
Expert-level SQL querying and performance tuning across Hadoop, Hive, Impala, and relational database systems
Proven experience designing visual summaries and exploratory dashboards using Python libraries such as Matplotlib and Seaborn or modern BI platforms
Strong command of Linux/Unix shell scripting, Git, and automated workflow/batch schedulers such as Autosys and Airflow
Deep understanding of the mortgage industry, including key metrics, MIS, and regulatory deliverables
Strong business acumen and ability to translate data into actionable business insights
Strong analytical mindset and passion for working with data
Excellent communication and presentation skills, with ability to explain complex analysis to a non-technical audience
Master's degree in Computer Science or Statistics is required

Benefits

Comp & perks

Equal opportunity employer
Reasonable accommodation for persons with disabilities