Axis Bank - Head - Valuations & Optimization

Job Description :

- Candidate will set up and lead Valuation& Optmization team. Responsibility of this team is to deliver best in class NPV valuation models across all lending/investment products across customer lifecycle. The candidate would be responsible to drive these modeling projects, covering all aspects of financial model development process (liasing with stakeholders, understanding busness need / requirement, creation of model design, exhaustive data prep, building robust model, implementation and regular monitoring).

In addition to that, candidate will also be required to :

- Build optimization center of excellence - capabilities on combinatorial optmization, mixed integer programming etc

- Implement 2-3 pricing optmization use cases across the bank

- Standardize and automate processes wrt implementation & monitoring, as much as possible

- Do vendor management (manage and work with external vendors for execution of multiple ongoing / new projects)

Key Result Areas -

1. Centralizing the entire valuation and optmization practice across the analytics dept. Managing a team of 2-3 data scientists, and delivering on the best valuation model data infrastructure - NPV models

2. Work very closely with data team, IT team, F&A and business analytics team for any NPV model implementation and pricing optmization projects

3. Standardization & automation of valuation model creation along with quarterly updates and version controls

4. Bring innovation on to the table by trying newer financial modeling methods to improve profitability accuracy. Also build pricing optmization techniques to improved profitability

5. Ensure flawless delivery of projects on time

6. Ensure people are motivated and their training and learning needs are met

Technical skills : Financial NPV modelling, Optmization theory, Data infrastructure

Nature of Relevant Work Experience - Required Creating NPV models, customer value scores and customer lifetime values. Should have deep financial background on retail banking products. Prior experience on pricing optimization is a plus. Having worked on Combinatorial optmization, linear programming, mixed integer programming is also a big plus. Must have worked on SAS, R or any optimization tool

No. of Years of Relevant Work Experience - Candidate is required to have 4-7 years of relevant work experience in NPV valuation models and optimization. The candidate must have prior people leadership experience in previous organization. The candidate must have a can-do attitude and should have the ability to liaise with multiple stakeholders and get the execution done smoothly.