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Investment Analyst - Graduate Trainee At Inkomoko

Inkomoko

Banking / Financial Services full time Nairobi Posted 2 weeks ago

KES 2,012 – KES 6,000,000

Inkomoko’s vision is an Africa with thriving communities where young people and refugees are engaged, communities have access to relevant innovations for self-determination, and where African solutions are unleashed to solve African problems. Founded in 2012, Inkomoko has provided business advisory and access to finance for thousands of entrepreneurs across East Africa. As the largest investor in refugee businesses, we have disbursed more than $6M in capital to more than 3000 clients. This affordable finance for Inkomoko entrepreneurs helps them grow their businesses, create jobs, and improve their livelihoods. As we look forward, Inkomoko is developing new ways to engage communities to thrive. Creating meaningful market linkages, expanding to secondary cities, and advocating for economic inclusion, Inkomoko has added these community-based approaches to our enterprise development work. By 2030, Inkomoko will be in 8 countries, serving more than half a million small businesses, creating a positive impact for more than 7 million people across the Continent.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.