Deliver high quality analytical and value-added services for clients within timelines.
Engage Business/Technical Consultants and delivery teams for shared understanding.
Use analysis and customer insights to develop value propositions for customers.
Apply data mining, statistics and ML to build predictive models integrated with products.

🎯 Requirements

Understanding of ML techniques/algorithms (Gradient Boost, KNN).
Modelling frameworks: Linear Regression, Logistic Regression, Decision Tree.
Hands-on Python, PySpark or SAS; statistical analysis basics.
Understanding of banking/portfolio management is a plus.
Credit bureau knowledge is a plus.

🎁 Benefits

Inclusive, people-first culture and award-winning workplace.
Equal Opportunity employer; accessibility accommodations available.

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