Senior Data Analyst

Summary

Join Moniepoint, a financial technology company, as a Senior Data Analyst and lead the design and delivery of credit acquisition strategies. Leverage extensive in-house data to identify trends, support tangible outcomes, and maintain loan loss rate levels. You will develop actionable insights for C-suite leaders, drive data-driven decision-making, and collaborate with stakeholders. Present insightful recommendations to senior management and credit committees. This role requires a minimum of 5 years of experience in data science or credit risk analysis.

Requirements

• Minimum of 5 years of experience in an analytical role e.g. Data Science / Credit Risk (essential)
• Advanced skills in SQL, Python (Pandas, Numpy etc.) (essential)
• Strong hands-on expertise in model building and validation e.g. Decision Trees, Random Forests, Logistic Regression (essential)
• Excellent communication skills with the ability to present complex analysis clearly
• Comfortable working independently and collaboratively across multi-disciplinary teams
• Awareness of Compliance within a Regulatory environment

Responsibilities

• Lead the development of credit risk acquisition strategies including scorecard build/cut-offs, and policy rule optimisation
• Leverage large in-house data sources using cutting-edge analytical techniques to develop actionable insights for C-suite leaders
• Drive the data driven decision making culture across the Bank through continued innovation and proactive application of data analytics
• Collaborate with stakeholders across Product and Data Engineering on strategic growth initiatives
• Present insightful MI and recommendations to senior management and Credit Committees / Investors

Preferred Qualifications

• Technical, data obsessed logical thinker
• Excellent communication skills (verbal and written)
• An ability to work autonomously
• Strong team player
• High ethical and professional standards