SOFTWARE ANALYST

Role Overview

We are seeking a Software Analyst with strong expertise in SAS technologies, Credit Risk Analytics, and AML solutions within the Banking & Financial Services domain. The ideal candidate will have experience in SAS development, statistical modeling, risk scoring, data analytics, and production support.

Key Responsibilities

SAS Development & Data Engineering

• Develop, maintain, and support SAS ETL pipelines and workflows.
• Design and implement data integration and transformation processes.
• Perform data quality checks and validation activities.

Risk Analytics & Modeling

• Design and develop Credit Risk and Behavioral Scorecards.
• Build and validate statistical models using:Logistic RegressionScorecard Development Techniques
• Conduct variable selection, model validation, and performance monitoring.

AML & Compliance Solutions

• Support SAS Anti-Money Laundering (AML) implementations.
• Develop and maintain transaction monitoring solutions.
• Assist in regulatory and compliance reporting requirements.

Reporting & Visualization

• Create automated reports and dashboards using:SAS Visual AnalyticsTableauPower BI
• Generate management and regulatory reporting outputs.

Stakeholder Collaboration

• Work closely with Business, Risk, Compliance, and Technology teams.
• Gather requirements and translate them into technical solutions.

DevOps & Production Support

• Manage source code and deployments using:GitJenkinsBMC Control-M
• Provide production support and issue resolution.

Technical Skills

SAS Technologies

• SAS Base
• SAS Macro
• SAS Viya
• SAS Model Studio
• SAS Intelligent Decisioning
• SAS AML
• SAS Visual Analytics

Programming & Database

• SQL
• Python
• Shell Scripting
• Linux

DevOps & Scheduling

• Git
• Jenkins
• BMC Control-M

Reporting & BI Tools

• Tableau
• Power BI
• Excel VBA

Domain Experience

• Banking & Financial Services
• Credit Risk Management
• Anti-Money Laundering (AML)
• Data Analytics & Reporting

Mandatory Requirements

• 3+ years of experience in SAS Development.
• Experience in Banking or Financial Services domain.
• Hands-on experience with Credit Risk or AML projects.
• Strong SQL and SAS programming skills.
• Experience with SAS Viya and SAS Model Studio.
• Knowledge of statistical modeling and scorecard development.
• Experience with Git and deployment tools.

Preferred Skills

• SAS Intelligent Decisioning experience.
• Python programming knowledge.
• Tableau or Power BI reporting experience.
• Exposure to CI/CD processes.
• Production support experience in banking environments.