FINCA UGANDA
Summary
The Data Analyst is responsible for collecting and analysing relevant data from a wide variety of sources to provide practical and meaningful data insight reports, which guide credit risk decision making and general management actions. He/she will support operational data analytics & insights, credit scoring and management reporting.
Main duties and responsibilities
Sourcing data from various sources including SQL databases and CSV files.
Transforming and automating repetitive data tasks.
Data modelling & data visualization to evaluate performance and trends, using interactive visuals and dashboards.
Statistical and predictive analysis to model uncertain scenarios.
Credit Risk Scoring and segmentation to facilitate credit risk-based decision making
Developing processes and procedures for integrating Credit scoring and risk-based pricing models into underwriting operations.
Training of Staff (Branches & Head Office) regarding Credit Risk Scoring processes and outcomes.
Providing solutions for queries from Branches and Head Office departments for Business and Data Insights Management Reporting.
Creating and maintaining regular and ad-hoc business operational reports, key risk indicators, among others.
Collecting credit risk related data and conducting analysis, segmentation, trending, forecasting and interpretation of risk management issues and concerns relevant to a portfolio of loan products using statistical techniques.
Supporting credit portfolio stress testing and scenario development.
Creating analytical datasets by performing exhaustive descriptive analysis, data cleansing and normalization, and investigation of business rules that create the data.
Developing systems and processes for gathering and storing data for future work and projects.
Developing new, improving current and automating processes and reports routinely utilized using statistical and data science techniques.
Validating IFRS9 Modelling Variables, Assumptions, MDQs and ECL outputs for accurate Loan Loss Provisions.
Competencies
To perform the job successfully, an individual should demonstrate the following competencies:
Vintage Analysis Modelling.
Credit Portfolio Stress Testing Modelling.
Marketing Intelligence Analytics.
Technical Understanding R programming and SQL.
Experience with Visualization Tools: Power Bi; Tableau, etc.
Machine learning concepts to constantly improve automated decision making.
Regression Analysis – Fundamentals & Practical Applications.
Statistical and predictive analysis.
Data transformation, modeling, and visualization.
Well-developed inter-personal and communication skills
Proactive and logical approach with attention to detail.
Capable of performing under pressure and within time constraints.
Self-motivated and ability to work effectively with less supervision
Qualifications, Skills and Experience
Minimum Honors University degree in Statistics, Applied Mathematics, Economics / Econometrics, Actuarial Science, Computer Science, Information Technology, Operations Research, industrial Engineering or other quantitative disciplines.
3 Years Experience as a Data Analyst, Business Intelligence Analyst, Data Visualization Specialist, Quantitative Analyst, or Data Scientist.
Any experience within Micro Finance / Credit Risk / Banking / Mobile Networks is an added advantage
How to Apply
All candidates who so wish to take up this role in the aforementioned capacity are encouraged to send their applications with detailed CVs including present position and copies of relevant professional/academic certificates to: ug_jobs@fincaug.org. Only shortlisted candidates will be contacted
Validity period: 28/04/2025 – 12/05/2025
