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Underwriting Sm
1 week ago
PFA the JD for underwriting SM role for your reference and perusal.
**Job Overview**:
You would be primarily responsible for working on Risk Scorecards (Customer Acquisition / Customer Management) and Alternate Data Solutions (incorporation of new industry data sources into risk models) across the bank's product portfolio
As a senior member of the team, you are expected to maintain end to end ownership of the analytics project which includes
Data Preparation and Exploratory Data Analysis
Feature Engineering with focus on new industry data sources
Model Development and Approvals from stakeholders
Model Deployment and post implementation validations
Periodic Monitoring and Model Refinement
You would also partner closely with key stakeholders throughout the model development lifecycle. These would include
Data Engineering & IT - for deployments
Policy & Risk - for approvals
Internal & External Auditors - for validations
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**Experience**
Experience in modelling for BFSI domain preferred
Strong track record in solving analytical problems using quantitative and statistical approaches
Ability to manipulate and analyze complex, high-volume, high-dimension data from varying sources
Machine Learning techniques for regression and classification such as logistic models, boosting/bagging, clustering, KNN etc
Technical competence in tools such as Python and/or SAS
B. Tech. / BE or MSc. in Economics/Statistics/Mathematics or MBA- Finance from Tier-1 institutions.
3-5 years of relevant experience with proficiency in working with large datasets using Py Spark/ BDL /SQL/SAS.. Experience on SAS VIYA is a good add-on.
Well conversant with statistical concepts like Decision Trees, Logistic Regression, Naive Bayes Classifiers, Neural Networks, Clustering etc.
Excellent communication and presentation skills and ability to influence and manage internal and external stakeholders beyond direct circle of influence.
Familiarity with basic IT and Data Engineering work streams terminology to better plan and execute project milestones.
Comfortable with dynamic work environment and unstructured problem statements with ability to convert the same into tangible solution approach.
Understanding of financial services industry basics with know-how of offered products and multiple channel journeys possible including digital workflows in BFSI space will be an advantage.
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