The incumbent will manage a team of data scientists delivering actionable insights across all business lines, driving resilient loan growth from our existing customer base. A big part of the role is to produce compelling and concise summaries of the analytical recommendations and engage a diverse set of stakeholders.
Key Responsibilities:
- Develops questions and hypotheses and translates them in to technical language amenable for analyses
- Builds advanced statistical models and determines their optimal application in business policies and practices
- Summarizes deep analytical insights and recommends changes to current business processes
- Mentors a team of data scientists, provides timely and relevant feedback
- Engages a diverse set of stakeholders and builds consensus to ensure the application of analytical recommendations
- Wears the project manager hat in setting expectations and directing analytical tasks in a fast-paced environment
Job Requirements:
- MTech / BE / BTech / MSc in CS or Stats or Maths, Operation Research, Statistics, Econometrics or in any quantitative field
- 5 - 10 years experience in analytical domain, 4+ years analytical experience.
- Excellent analytics, logical, problem solving and numerical skills
- Experience in using Python
- Experience in working with large data sets and big data systems (SQL, Hadoop, Hive, etc.)
- Keen aptitude for large-scale data analysis with a passion for identifying key insights from data
- Expert working knowledge in various machine learning algorithms such XGBoost, decision trees, random forests etc.
- Expertise in Data Mining, Statistical Analysis, Regression, Logistics Regression, Segmentation, Time Series Forecasting, Market Basket Analysis, Decision Tree, CHAID, Test Mining, Hypothesis Testing, A/B Testing and Modeling
