About the Role
Analytics is one of top focus areas for the bank and this position represents opportunity to be part of high growth teams driving innovation. This role involves understanding of model building and reviewing.
Key Responsibilities
The candidate will be responsible for the following in his/her job role:
- Co-own the business goals & lead problem solving, work in an agile manner with business partners, Risk-review committee members , data engineering and IT
- Work with a team of data scientists and help deliver on projects in a time bound fashion.
- Innovate by adapting new modeling techniques and procedures
- Work in a self-directed environment, own tasks and drive them to completion
Role Proficiencies:
The candidate is required to have:
Fluency in Python, SQL/SAS , hands on relevant experience
Experience in building models, with some years in building credit-Risk models
Prior experience in BFSI domain a plus
Should have good knowledge of advanced ML techniques (Logistic, XGboost, RF, ANNs, Ensembles) and understand the end to end deployment aspects
Knowledge of dockers/containers, micro services is a plus
Solid spoken and written communication skills
Should have strong analytical thinking and be able to convince stakeholders on using data-based evidence.Experience in modelling for BFSI domain preferred
Having good exposure of various deployment platforms like FICO BLAZE, BDL, ORACLE etc..
Strong track record in solving analytical problems using quantitative and statistical approaches
Ability to manipulate and analyse complex, high- volume, high- dimension data from varying sources
Technical competence in tools such as Python and/or SAS a plus