• Working with various datasets to extract meaningful information with a business approach
• Running business QA on datasets we collect
• Structuring rough data into exploitable features available through our API
• Developing internal and external business intelligence models
• Teaming up with Product, Business and Tech to implement data-driven strategies

Requirements

Preferred education background in the quantitative field (mathematics, computer science, AI, data science, statistics)
Strong skills in SQL and Python (nice to have: experience with Git)
Good understanding of business
Solid analytics ability and statistic knowledge
Basic knowledge of Machine Learning algorithms and practical implementation
Strong interest in the Fintech space and financial inclusion
Keen to work with people across multiple teams
Eager to learn and take ownership of topics

🔍 ATS Optimization Keywords
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Hard Skills

SQL
Python
Machine Learning
Data Analysis
Statistical Knowledge
Data Structuring
Business Intelligence Models
Data Quality Assurance
Feature Engineering

Soft Skills

Team Collaboration
Communication
Ownership
Eagerness to Learn
Business Acumen

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