Data Modeling Specialist for Credit Risk and Analytics
4 days ago
About GXS Bank
We're at the forefront of shaping the future of financial services. Leveraging technology to redefine how banking is offered, our mission is to unlock big dreams and bring financial inclusion to people in our region.
We want to build a digital bank with the right foundation - using data, technology, and trust to solve problems and serve customers.
- Develop and maintain predictive models for credit scoring, fraud detection, and suspicious activity prediction.
- Write high-quality code for models to be deployed in the production environment.
- Deploy models in the MLOps production environment and troubleshoot any issues.
- Support regular model performance reviews, audits, and recalibrations.
Data Analytics to Help Business:
- Collect, process, and analyze data to support statistical analysis and risk decision-making.
- Design, implement, and maintain performance reports and actionable insights dashboards.
- Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
Requirements and Qualifications
- Bachelor's degree in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
- Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries.
- Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
- Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
- Proficiency in Python, R, SQL, Snowflake, and Data Visualization tools like Tableau.
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