Data Analytics & Machine Learning Consultant

About the role

Work on data-driven fintech consulting projects across credit risk, fraud detection, and marketing analytics. Build, analyze, and optimize machine learning models for client-specific use cases. Extract insights from financial, behavioral, and alternative data sources. Support client implementation and documentation of analytical models. Collaborate with data scientists, business analysts, and industry experts across project phases.

Key responsibilities

• Work on data-driven fintech consulting projects across credit risk, fraud detection, and marketing analytics
• Build, analyze, and optimize machine learning models for client-specific use cases
• Extract insights from financial, behavioral, and alternative data sources (e.g., SLIK, app data, transactions)
• Support client implementation and documentation of analytical models
• Collaborate with data scientists, business analysts, and industry experts across project phases

About you

• Top-tier university graduates with outstanding academic performance (GPA ≥ 3.5/4.0)
• Majors: Computer Science, Statistics, Mathematics, Data Science, Financial engineering
• Solid understanding of machine learning and statistical algorithms
• Proficient in Python and SQL
• Familiarity with model evaluation, feature engineering, and data visualization
• Analytical thinker, proactive problem-solver, and collaborative team player
• Internship or work experience in data science or analytics roles (preferred)
• Exposure to financial services, fintech, or credit scoring projects (preferred)
• Experience with cloud platforms (e.g., GCP, AWS) is a plus
• Able to join immediately

About us

We are a leading fintech consulting company specializing in personal digital lending, credit risk modeling, fraud detection, and AI-driven operational marketing. We empower Banks, Multi-finance companies, and other financial institutions in Southeast Asia and Africa with innovative AI-driven solutions.