- 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 workplace.
- Excellent written, verbal, and interpersonal communication and presentation skills in English.
- Experience in programming in parallel and distributed computing for Big Data such as Map Reduce, Spark, Hadoop, Yarn.
- Financial services industry experience preferred.
- Experience with visualization tools like Tableau/PowerBI.
📌 Contract - Data Modeler (Hyderabad)
🏢 kpg99.INC
📍 Hyderabad
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