BIU:Data Science-Model Risk Mgmt and Financial Modelling
Axis Bank · axisbank.com
Mumbai
The job in short
Model risk and financial modelling data science.
Data science
Details
- Found
- 20 d ago · posted 2026-09-11
- Location as listed
- Mumbai
- Role
- Data Scientist
- Source
- The company’s own careers site
Full description
BIU: JD
for Data Science
Grade:
Business:
BIU
Department:�
BIU
Sub-Department:
BIU
Location:
Mumbai/Bangalore
About BIU
Axis Bank�s (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.
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 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 SAS a plus
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