ABOUT THE ROLE

As a Graduate Trainee in Investment Business Analytics, you will be immersed in real-world projects that support investment decision-making, portfolio management, and influence key business strategies. You’ll work closely with experienced analysts and business leaders to analyze data that supports solving problems , build insightful dashboards, identify trends and risks, and generate actionable insights to drive measurable impact across the organization.

ROLES AND RESPONSIBILITIES

• Clean and analyze large datasets from various internal platforms.
• Design, create and manage interactive reports and dashboards to track portfolio performance and support strategic planning.
• Develop & enhance automated reporting, dashboards, and analytical tools that improve underwriting, portfolio monitoring, and investment teams operational efficiency.
• Support business units with ad-hoc data analysis, trend identification, and performance reporting.
• Work with other departments to improve investment processes, such as client selection, credit assessments, and portfolio monitoring.
• Participate in a data-driven cross-functional projects involving Digital Transformation, etc
• Document analytical processes, methodologies, and findings.
• Work with the Finance and Digital Transformation teams to improve financial reporting and ensure data flows correctly between core systems and accounting systems.
• Analyze investment data to find trends that help improve risk management, credit quality, and automated financing.
• Help the organization prepare for audits by providing accurate data, maintaining documentation, and ensuring workflows follow internal policies.
• Contribute to data quality improvement initiatives and data governance efforts.

Requirements

We’re seeking candidates who can thrive in fast-paced environments with energy, resilience, creativity, and a good sense of humor.

The ideal candidate will fulfill the following requirements:

• Bachelor’s degree in Statistics, Business Analytics, Economics, Computer Science, Mathematics or a related quantitative field.
• Strong understanding of portfolio monitoring, credit risk management, financial analysis, and investment due diligence.
• Recent graduate (0–2 years of work experience).

TECHNICAL SKILLS

• Data Analysis & Modeling: Advanced proficiency in MS Excel, SQL, and statistical software.
• Data Visualization: Strong foundation in creating interactive dashboards and reports using tools such as PowerBI, Looker etc.
• Risk Management: Competence in credit risk modeling, financial forecasting, and portfolio stress testing.
• Project Management & QA: Familiarity with project tracking tools and documentation best practices.

COMPETENCIES

• Strong analytical and problem-solving skills.
• Ability to work both independently and in a team environment.
• High attention to detail and commitment to accuracy.
• Eagerness to learn and adaptability in a fast-paced environment.

Benefits

• Comprehensive 12–24 month graduate program with a clear progression path.
• Mentorship from senior analytics professionals.
• Competitive compensation and benefits.
• Dynamic, inclusive, and growth-oriented work environment.

• Clean and analyze large datasets from various internal platforms.
• Design, create and manage interactive reports and dashboards to track portfolio performance and support strategic planning.
• Develop & enhance automated reporting, dashboards, and analytical tools that improve underwriting, portfolio monitoring, and investment teams operational efficiency.
• Support business units with ad-hoc data analysis, trend identification, and performance reporting.
• Work with other departments to improve investment processes, such as client selection, credit assessments, and portfolio monitoring.
• Participate in a data-driven cross-functional projects involving Digital Transformation, etc
• Document analytical processes, methodologies, and findings.
• Work with the Finance and Digital Transformation teams to improve financial reporting and ensure data flows correctly between core systems and accounting systems.
• Analyze investment data to find trends that help improve risk management, credit quality, and automated financing.
• Help the organization prepare for audits by providing accurate data, maintaining documentation, and ensuring workflows follow internal policies.
• Contribute to data quality improvement initiatives and data governance efforts.

• Data Analysis & Modeling: Advanced proficiency in MS Excel, SQL, and statistical software.
• Data Visualization: Strong foundation in creating interactive dashboards and reports using tools such as PowerBI, Looker etc.
• Risk Management: Competence in credit risk modeling, financial forecasting, and portfolio stress testing.
• Project Management & QA: Familiarity with project tracking tools and documentation best practices.
• Strong analytical and problem-solving skills.
• Ability to work both independently and in a team environment.
• High attention to detail and commitment to accuracy.
• Eagerness to learn and adaptability in a fast-paced environment.

• Bachelor’s degree in Statistics, Business Analytics, Economics, Computer Science, Mathematics or a related quantitative field.
• Strong understanding of portfolio monitoring, credit risk management, financial analysis, and investment due diligence.