We are looking for strong Data Scientists/Analysts, who will be problem solvers, using predictive modelling techniques and machine learning algorithms, to solve complex business problems in credit and risk domains, and also provide business strategies.
Roles and Responsibilities:
Use of cutting edge machine learning techniques for solving supervised and unsupervised learning problems
Design analytical solutions for complex business problems
Dig deep into data, understand characteristics, evaluate and validate hypotheses through empirical approaches
Recommend and implement best practices around application of statistical modelling
Develop and implement predictive models solving business problems and recommend actionable insights
Mentor and train new recruits
Qualification & Experience:
2+ years of experience in the field of analytics, predictive modeling or data science
Strong with programming languages like Python and data processing using SQL or equivalent
Strong with analytical and statistical packages like R, Python Scikit-Learn
Additional familiarity with C/C++ welcome
Experience with the following machine learning algorithms desirable: Gradient Boosting, Decision Trees, Logistic Regression, Random Forests, Deep Neural Networks, Ensemble methods
Experience with NoSQL and distributed data processing technologies such as Hadoop is also desirable
Bachelor or Master in Operations Research, Computer Engineering or in closely related Quantitative Disciplines from a premier institution.
We have a more accurate picture of Alice than other lenders. We use more data, from more sources. We analyze it using the most advanced data science. We can see that she is, in fact, a good risk. So we can lend to her at a risk-appropriate rate.
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