BIU:Data Science-Alternate Data
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Sep 11, 2026.
style='width:517.5pt;margin-left:-21.75pt;border-collapse:collapse;border:
none'>
padding:0cm 5.4pt 0cm 5.4pt;height:24.95pt'>
normal'>BIU: JD
for Data Science
border-top:none;padding:0cm 5.4pt 0cm 5.4pt;height:18.85pt'>
normal'>Grade:
border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;
padding:0cm 5.4pt 0cm 5.4pt;height:18.85pt'>
border-top:none;padding:0cm 5.4pt 0cm 5.4pt;height:17.5pt'>
normal'>Business:
none;border-bottom:dashed windowtext 1.0pt;border-right:dashed windowtext 1.0pt;
padding:0cm 5.4pt 0cm 5.4pt;height:17.5pt'>
normal'>BIU
none;border-bottom:dashed windowtext 1.0pt;border-right:dashed windowtext 1.0pt;
padding:0cm 5.4pt 0cm 5.4pt;height:17.5pt'>
normal'>Department: �
border-bottom:dashed windowtext 1.0pt;border-right:dashed windowtext 1.0pt;
padding:0cm 5.4pt 0cm 5.4pt;height:17.5pt'>
normal'>BIU
none;border-bottom:dashed windowtext 1.0pt;border-right:dashed windowtext 1.0pt;
padding:0cm 5.4pt 0cm 5.4pt;height:17.5pt'>
normal'>Sub -Department:
none;border-bottom:dashed windowtext 1.0pt;border-right:dashed windowtext 1.0pt;
padding:0cm 5.4pt 0cm 5.4pt;height:17.5pt'>
normal'>BIU
border-top:none;padding:0cm 5.4pt 0cm 5.4pt;height:17.95pt'>
normal'>Location:
border-left:none;border-bottom:dashed windowtext 1.0pt;border-right:dashed windowtext 1.0pt;
padding:0cm 5.4pt 0cm 5.4pt;height:17.95pt'>
normal'>Mumbai/Bangalore
border-top:none;padding:0cm 5.4pt 0cm 5.4pt;height:17.05pt'>
normal'> About BIU
border-top:none;padding:0cm 5.4pt 0cm 5.4pt;height:77.8pt'>
normal'>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.
border-top:none;padding:0cm 5.4pt 0cm 5.4pt;height:17.5pt'>
normal'>AbouttheRole
border-top:none;padding:0cm 5.4pt 0cm 5.4pt;height:42.2pt'>
margin-left:7.6pt;margin-bottom:.0001pt;line-height:normal'>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.
border-top:none;padding:0cm 5.4pt 0cm 5.4pt;height:17.25pt'>
normal'> Key
Responsibilities
border-top:none;padding:0cm 5.4pt 0cm 5.4pt;height:108.5pt'>
0cm;margin-left:36.0pt;margin-bottom:.0001pt;text-align:justify;text-indent:
-18.0pt;background:white'>�Responsible
for quantitative analysis, data mining techniques and predictive modelling
and to develop analytical business solutions for Axis bank.
0cm;margin-left:36.0pt;margin-bottom:.0001pt;text-align:justify;text-indent:
-18.0pt;background:white'>�Primarily
responsible for working on Alternate Data Solutions (incorporation of new
industry data sources into risk models) across the bank's product
portfolio and establishing frameworks and models showcasing the value of the
alternate data products.
0cm;margin-left:36.0pt;margin-bottom:.0001pt;text-indent:-18.0pt;background:
white'>�Require
to have
background:white'>oDeep understanding of offered
products and multiple channel journeys possible including digital workflows
background:white'>oShould be able to
conceptualize, design and plan analytical frameworks as per multiple use
cases and lead team effectively to manage delivery timelines.
background:white'>oWell versed with various
analysis tools and statistical techniques and open to experimentation thereof
to obtain improved outcomes.
0cm;margin-left:36.0pt;margin-bottom:.0001pt;text-indent:-18.0pt;background:
white'>�Partner
closely with key stakeholders throughout the product solutioning cycle
0cm;margin-left:72.0pt;margin-bottom:.0001pt;text-indent:-18.0pt;background:
white'>�Internal
& External Vendor partners � for engagements and negotiations
0cm;margin-left:72.0pt;margin-bottom:.0001pt;text-indent:-18.0pt;background:
white'>�Business Stakeholders,
Policy & Risk stakeholder� for approvals
0cm;margin-left:72.0pt;margin-bottom:.0001pt;text-indent:-18.0pt;background:
white'>�Data
Engineering & IT � for deployments
border-top:none;padding:0cm 5.4pt 0cm 5.4pt;height:3.45pt'>
normal'> Role
Proficiencies:
border-top:none;padding:0cm 5.4pt 0cm 5.4pt;height:97.8pt'>
0cm;margin-left:36.0pt;margin-bottom:.0001pt;text-indent:-18.0pt;background:
white'>�Experience
in modelling for BFSI domain preferred
0cm;margin-left:36.0pt;margin-bottom:.0001pt;text-indent:-18.0pt;background:
white'>�Having
good exposure of various deployment platforms like FICO BLAZE, BDL, ORACLE etc..
0cm;margin-left:36.0pt;margin-bottom:.0001pt;text-indent:-18.0pt;background:
white'>�Strong
track record in solving analytical problems using quantitative and
statistical approaches
0cm;margin-left:36.0pt;margin-bottom:.0001pt;text-indent:-18.0pt;background:
white'>�Ability
to manipulate and analyse complex, high- volume, high- dimension data from
varying sources
0cm;margin-left:36.0pt;margin-bottom:.0001pt;text-indent:-18.0pt;background:
white'>�Technical
competence in tools such as Python and/or SAS a plus