About the role
Role: Data Modeler
Location: Hyderabad-Hybrid
Duration 6+ Months can be extented
Required:-
· Bachelor’s degree in mathematics, Computer Science, Statistics or a related field.
· 5+ years of experience with statistical and quantitative analysis, Machine Learning, Statistical Modeling, including large scale data manipulation.
· Knowledge of statistical models & practical experience in predictive model development in Consumer Credit Lifecycle, predominantly consumer underwriting (using Python, PySpark, R, SAS).
· Capable of accurately joining large data sets from multiple data sources, created complex logic for data cleaning & outlier detecting, and build & refine business rules to validate and monitor the model forecast.
· Expert experience with data querying languages (e.g. SQL) & scripting languages (e.g. Python).
· Proven ability to think creatively, solve problems, learn quickly, work independently, handle ambiguity, and adapt to change in a fast-paced environment.
· Excellent written, verbal, and interpersonal communication and presentation skills in English.
· Experience in programming in parallel and distributed computing for Big Data such as MapReduce, Spark, Hadoop, Yarn.
· Financial services industry experience preferred.
· Experience with visualization tools like Tableau/PowerBI.
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