Axis Bank - Data Scientist - Model Development

About the Role

- The candidate will be part of the Data Science team and will primarily leading the team responsible for developing and deploying key underwriting risk models that generate close to 1 Lac Crores of loan disbursals for the bank annually.

The candidate is required to:

- Mentor and guide TMs to drive delivery of key predictive models using latest machine learning / statistical methods

- Liason with multiple business stakeholder, model reviewers and manage expectations ensuring smooth signoffs and approvals

- Introduce newer methodology in model development & implementation

- Communicate these methods and results to other members of the data science team and other relevant stakeholders

Key Responsibilities:

1. Deliver robust statistical / machine learning models that use latest methods & algorithm while generating tangible business value

2. Standardize the usage of latest data processing methods for faster development and implementation of models in the larger data science team

3. Gain knowledge of different model-deployment platforms and work with technology teams to implement models in the most efficient way

4. Ensure flawless delivery of projects on time meeting expectations of multiple stakeholders including business, review committees and policy/risk teams

Qualification:

1.Post graduation in Statistics or Economics or Quantitative Economics or Computer Science OR

2.M.B.A. (Finance / Quantitative Methods)

Role Proficiencies:

- Predictive model development

- Logistic/Linear Regression, Clustering, D-tree, Feature Selection, PCA

- SVM, Random Forest, Gradient Boost, Na- ve Bayes, Neural Networks (ANNs)

- Python, Tensorflow, Scikit is a plus

- Strong in SAS and / or

Previous Experience:

Candidate is required to have 7-8 years of relevant work experience in statistical modeling. The candidate must have a can-do attitude and should have the ability to liaise with multiple stakeholders and get the execution done smoothly.