Collaborate with stake holders and identify opportunities for leveraging huge amount of unstructured financial data.
Analyze and model structured data using statistical methods and implement algorithms and software needed to perform analyses
Undertake preprocessing of structured/unstructured data and analyze information to discover trends/patterns.
Present information using data visualization techniques.
Coordinate with different teams to implement the models and monitor outcomes.
Build machine learning models to automate processes and reduce operational overhead.
Perform continuous model monitoring and model support.
Build processes and tools for analyzing model performance and data accuracy.
Requirements
Education : Degree in Applied Math, Statistics, Computer Science or any other quantitative field from premier institutes
Certifications : NA
Foundational Skills :
Strong technical skills including experience using Python/R and SQL or any object-oriented languages
Familiarity with various machine learning algorithms and modelling techniques e.g. Regression (Linear and logit), Classification (SVM, Naïve Bayes,etc.)