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Data Scientist – Credit Risk
Funding Societies | Modalku Group. Build machine learning models for credit scoring, risk profiling, fraud detection, and customer segmentation .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building machine learning models for credit scoring, risk profiling, and fraud detection, with strong proficiency in Python and SQL. Capable of performing data preparation, feature engineering, and model performance evaluations while effectively communicating findings.
Highest-signal resume keywords
Machine Learning Model DevelopmentPython ProficiencySQL ProficiencyData Preparation and Feature EngineeringModel Performance Evaluation
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningModel DevelopmentFeature EngineeringData AnalysisStatistical AnalysisModel BenchmarkingModel Drift InvestigationPerformance ChecksAUCKS
Soft Skills
Attention to DetailClear Written CommunicationIndependent WorkProject Management
Tools & Technologies
PandasScikit-LearnVersion Control
Industry Keywords
Financial ServicesFintechRisk ProfilingFraud DetectionCustomer Segmentation
Tech Stack
Tools & technologiesPandasPythonScikit-LearnSQL
About the role
Key responsibilities & impact- Build machine learning models for credit scoring, risk profiling, fraud detection, and customer segmentation
- Prepare data and perform feature engineering
- Benchmark models against existing scoring logic and business rules
- Run recurring model performance and stability checks, including AUC, KS, PSI, and calibration
- Investigate model drift and anomalies
- Escalate findings with a clear explanation of what changed and why it matters
- Perform exploratory and deep-dive analyses on borrower and portfolio data
- Answer impactful business questions
- Present findings in clear, concise summaries
- Contribute to model training, scoring, and monitoring pipelines
- Write clean, version-controlled, reproducible code
Requirements
What you’ll need- 2+ years of experience in data science or statistics, including hands-on model development
- Exposure to financial services or fintech is a plus
- Degree in statistics, mathematics, computer science, economics, data science, or a related quantitative field
- Proficiency in Python, including pandas and scikit-learn or similar
- Proficiency in SQL
- Ability to work independently and manage multiple projects simultaneously
- Strong attention to detail
- Clear written communication
Benefits
Comp & perks- Flexible paid vacations and observed holidays by country
- Additional days off for birthdays and work anniversaries
- Flexible working arrangements
- Health insurance coverage for employees and dependents
- Organization-wide fitness initiatives
- Well-being coaching
- Company laptop
- Support for equipment and tools