BIU:Data Scientist-Model Risk Mgmt and Financial Modelling

BIU: JD for Data Science

Grade:

Business:

BIU

Department:

BIU

Sub-Department:

BIU

Location:

Mumbai/Bangalore

About BIU

Axis Banks (Business Intelligence Unit): This is a high profile team with a mandate to drive data based decisions within the bank. Reporting in to Head Banking Operations and Transformation, this department works with all businesses of the bank including retail, small business and corporate to drive analytics. In terms of functions, the department has teams focused on all aspects of analytics for the bank including risk analytics, financial analytics, crime analytics, business and marketing analytics, building predictive scores, data engineering, business reporting and data governance roles.

AbouttheRole

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 evidenceExperience 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 SASa plus