Deputy National Lead - Risk

Bajaj Finserv Ltd. is looking for Deputy National Lead - Risk to join our dynamic team and embark on a rewarding career journey Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses
Understanding External Influence That Drives Consumer Behavior:
Understand aggregate change in consumer behavior and external drivers such as macroeconomic, political risks, etc.
Building Empirical framework to understand shift in aggregate behavior and its impact on BFL business
Isolating macroeconomic vs. idiosyncratic influence on results
Creation of BFL index of Consumer behavior leveraging the massive in-house data infrastructure
Build Economic forecasting models for Macro variables
Work closely with business team to understand their need and provide Analytical solution.
Assess if any early warning signals using data analysis and segmentations and take pro-active policy actions as and when required
Design research-based frameworks and empirical models.
The candidate should -
Have strong analytical orientation (along with data manipulation experience)
Act as an expert in Economic studies with specialization in Microeconomics, Customer Choice Theory, Behavioral Economics and Behavioral game theory
Have ability to isolate customers revealed and stated preference through its transactions and interactions, and extend findings across different cross section of customers for specific business use case.
Be able to set up primary/secondary research that will help in testing various hypothesis and frameworks
Be able to bring in non-traditional data, that will help sharpen the design and approach

Required Qualifications and Experience
SKILLS AND KNOWLEDGE
(Minimum acceptable proficiency for this job which best indicates the education and/or experience requirements of this job and not the incumbent)

Educational Qualifications
Qualifications
Post-graduation in Economics, Statistics, Mathematics or Equivalent degree on Quantitative subjects (knowledge of econometrics, statistics, mathematics or engineering).
Work Experience
8-10 years relevant analytical experience in Economic Research, Forecasting, Building growth model etc.
Preferred Coding languages: SAS, SQL, R, Python.
Classical statistical techniques: Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing.
Experience in handling huge data base and the ability to do root cause analysis.
Individual contributor with the capability to deliver projects within timeline
Effective verbal and written communication skills