Reporting Analyst

At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.

Responsibilities

• Develop and maintain comprehensive and accurate risk reports and dashboards for internal stakeholders and external clients.
• Analyze and interpret data related to credit risk, portfolio performance, and regulatory reporting requirements (e.g., Basel, CCAR, IFRS 9).
• Collaborate with data scientists, risk modelers, and business teams to extract insights and translate analytical findings into clear, concise business reports.
• Design and automate regular reporting processes using Python, SAS, and R to enhance efficiency and accuracy.
• Support the development and validation of risk models (PD, LGD, EAD) and other statistical frameworks to assess credit exposure and portfolio health.
• Ensure data integrity and compliance with internal and regulatory data governance standards.
• Work closely with clients to understand reporting needs and deliver tailored solutions.

Qualifications

• 5–10 years of experience in risk reporting, risk analytics, or credit risk roles, preferably in the BFSI industry.
• Strong working knowledge of credit risk management principles, regulatory frameworks, and risk lifecycle.
• Proficient in SAS, R, and Python for data extraction, statistical analysis, and report automation.
• Hands-on experience with large datasets, data modeling, and report generation using tools like Excel, SQL, Tableau, or Power BI (preferred).
• Solid understanding of risk modeling methodologies and exposure to model development or validation is a plus.
• Strong analytical thinking, problem-solving skills, and attention to detail.
• Excellent communication and stakeholder management skills with the ability to present complex data in a business-friendly manner.

Required Skills

• Proficient in SAS, R, and Python for data extraction, statistical analysis, and report automation.
• Hands-on experience with large datasets, data modeling, and report generation using tools like Excel, SQL, Tableau, or Power BI (preferred).
• Strong analytical thinking, problem-solving skills, and attention to detail.
• Excellent communication and stakeholder management skills with the ability to present complex data in a business-friendly manner.