Deskripsi Pekerjaan
Are you a data-driven professional passionate about the intersection of Artificial Intelligence and Fintech? Monee is seeking a highly analytical Business Intelligence Analyst (AI) to join our Credit Product team in Singapore. As we continue to revolutionize digital financial products, including mobile wallets and payment processing, you will play a pivotal role in shaping our credit risk strategy through advanced analytics and AI-driven insights.
In this role, you will bridge the gap between complex data sets and actionable business intelligence. You will collaborate with cross-functional teams to build automated reporting frameworks, optimize credit scoring models, and deliver high-impact visualizations that inform executive decision-making. If you thrive in a fast-paced environment and are eager to leverage machine learning to optimize credit performance, we want to hear from you.
Tanggung Jawab
- Design and maintain automated BI dashboards to track credit product performance and risk metrics.
- Develop and refine AI-powered predictive models for credit scoring and customer behavioral analysis.
- Conduct deep-dive analysis on loan portfolios to identify trends, outliers, and opportunities for growth.
- Collaborate with product managers and engineers to integrate data insights into the credit lifecycle.
- Monitor the effectiveness of AI algorithms and perform regular model validation to ensure accuracy.
- Translate complex data findings into actionable strategic recommendations for stakeholders.
- Support the automation of data pipelines to improve reporting efficiency and data quality.
Kualifikasi
- Bachelor’s or Master’s degree in Data Science, Statistics, Finance, Computer Science, or a related quantitative field.
- 3+ years of experience in Business Intelligence, Data Analysis, or Risk Analytics, ideally within the Fintech or Banking sector.
- Strong proficiency in SQL and BI tools such as Tableau, Power BI, or Looker.
- Solid experience with Python or R for data manipulation and statistical modeling.
- Understanding of machine learning concepts and their application in financial services.
- Excellent communication skills with the ability to present technical data to non-technical stakeholders.
- Demonstrated ability to handle large datasets and perform rigorous statistical validation.