Posted:1 day ago|
Platform:
On-site
Full Time
Key Responsibilities Partner with financial clients to understand business problems and identify analytical opportunities. Design and develop robust SQL queries for data extraction, transformation, and aggregation from large-scale relational databases. Build and deploy end-to-end machine learning models for use cases such as credit scoring, fraud detection, customer segmentation, or risk assessment. Write clean, modular Python code to perform data manipulation, feature engineering, and modeling workflows. Collaborate with cross-functional teams including domain experts, data engineers, and BI developers to deliver comprehensive solutions. Present analytical insights to both technical and non-technical stakeholders through dashboards, reports, and presentations. Stay up-to-date with industry trends, tools, and best practices in data science and financial analytics. Show more Show less
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