Data Analyst / Business Analyst

Roles and Responsibilities:

• Gather and understand business requirements related to credit and fraud risk.
• Analyze large datasets to identify trends and insights.
• Implement data federation and virtualization techniques for comprehensive analysis.
• Develop models and reports to support decision-making in risk management.
• Use SAS, SQL, and Python to perform in-depth data analysis, create predictive models, and implement statistical techniques
• Collaborate with cross-functional teams to optimize risk processes.
• Maintain documentation of methodologies and findings.

Skills Required:

• 5+ years of relevant work experience.
• Strong SQL and SAS skills.
• Experience in Data virtualization or Data Federation.
• Experience with Analytics Tools such as Tableau, Kibana (Good to have).
• Must have experience in banking industry Credit risk / Fraud risk.
• Knowledge of the life cycle of secured/unsecured products.
• Excellent interpersonal skills and a professional approach.

Ability to learn quickly and adapt to new technologies.