- Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model.
- Contribute to how analytical approach is structured for specification of analysis
- Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems
- 8+ years exp on ML/Python (predictive modelling).
- Design, implement, test, deploy and maintain cutting-edge data and machine learning solutions to accelerate our business.
- Create experiments and prototype implementations of new learning algorithms and prediction techniques
- Collaborate with product managers,
and stockholders to design and implement software solutions for science problems
- Use machine learning best practices to ensure a high standard of quality for all of the team deliverables
- Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization
- Hands-on experience with IFRS 9 models and regulations.
- Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity.
- Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming.
- Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs.
- Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.
📌 AVP Data scientist / ML Engineer -- US Client (Analytics) (Bengaluru)
🏢 Aspyra HR Services
📍 Bengaluru
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