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Deadline to Apply
-Communicate with our business and technical teams to understand the analytics requirements.
-Understand and translate business needs into data models supporting long-term solutions.
-Coordinate with different functional teams (e.g Application development team) to implement models and monitor outcomes
-Develop clever algorithms and pragmatic solutions to our automation and improve the solutions over time
-Have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
-Minimum 5 years leading development and implementation of credit risk models
-Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, Ecomometrics or Computer Science with Modeling/Data Science)
-Experience using statistical computer languages (SAS, R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
-Varied knowledge of machine learning techniques (regression, clustering, decision tree learning, artificial neural networks, etc.)
-Strong problem solving skills with an emphasis on product & service development.
-Basic knowledge relating to data architectures
-Excellent communication skills for coordinating across teams
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