Job Description

Lead Assistant ManagerEXL/LAM/1432395


ServicesGurgaon
Posted On
24 Jul 2025
End Date
07 Sep 2025
Required Experience
2 - 6 Years



Basic Section
Number Of Positions


1


Band


B2


Band Name


Lead Assistant Manager


Cost Code


D011534


Campus/Non Campus


NON CAMPUS


Employment Type


Permanent


Requisition Type


New


Max CTC


15.0000 - 20.0000


Complexity Level


Not Applicable


Work Type


Work From Home - Predominantly Working From Home But May Be Required To Work For A Certain No Of Days A Month From Office


Organisational
Group


Analytics


Sub Group


Retail Media & Hi-Tech


Organization


Services


LOB


Services


SBU


Analytics


Country


India


City


Gurgaon


Center


EXL - Gurgaon Center 38




Skills
Skill


DATA ENGINEER


Minimum Qualification


OTHER


Certification


No data available

Data Engineer - Profitability & Risk Data Platform

Job Summary

We are seeking a

Data Engineer

to design and implement the

data infrastructure

that powers bank's

Customer Risk Management framework

across

Unsecured, Secured, and Insurance

verticals. The role is focused on building

automated data pipelines

, enabling a

single source of truth

, and supporting

profitability modeling

,

risk analytics

, and

real-time strategy simulations

.

Key Responsibilities

Design and build

automated, metadata-driven data pipelines

for ingesting and transforming data across

product, risk, finance, and marketing systems

. Implement

data integration frameworks

that support the unified view of customer-level metrics. Enable

account-level profitability computation

by integrating defined

revenue and cost parameter models

into the data layer. Ensure

data quality

, validation controls, and reconciliation processes are embedded into every pipeline. Develop data structures that support

real-time dashboarding

and

tactical strategy monitoring

using

Power BI or similar BI tools

. Collaborate with risk and strategy teams to support

segmentation

,

scenario simulation

, and

CLTV analytics

.

Required Skills & Experience

5-8 years in

data engineering

, within

financial services

or

retail banking

. Expertise in

SQL

,

Python

, and modern

ETL frameworks

. Experience designing

metadata-driven architecture

. Strong understanding of

data warehousing

,

data modeling

, and

cross-domain schema design

.
Workflow
Workflow Type


L&S-DA-Consulting