Job Description

Senior ManagerEXL/SM/1364206


ServicesGurgaon
Posted On
21 May 2025
End Date
05 Jul 2025
Required Experience
6 - 10 Years



Basic Section
Number Of Positions


4


Band


C2


Band Name


Senior Manager


Cost Code


D010938


Campus/Non Campus


NON CAMPUS


Employment Type


Permanent


Requisition Type


New


Max CTC


2000000.0000 - 2800000.0000


Complexity Level


Not Applicable


Work Type


Hybrid - Working Partly From Home And Partly From Office


Organisational
Group


Analytics


Sub Group


Banking & Financial Services


Organization


Services


LOB


Services


SBU


Analytics


Country


India


City


Gurgaon


Center


Gurgaon-SEZ BPO Solutions




Skills
Skill


SQL


PYTHON PROGRAMMING


PYSPARK


EXCEL


PORTFOLIO ANALYSIS


CREDIT RISK


STRATEGY


MACHINE LEARNING


MODEL DEVELOPMENT


Minimum Qualification


B.TECH/B.E


MBA


Certification


No data available



Responsibilities :


Should be able to manage project (Build and Validate)models independently with minimal technical support . Should be able to implement new ideas for improving profitability. Identify relevant data sources to mine for client business needs. Analyze data for trends and patterns, and interpret data with a clear objective in mind. Research and devise innovative statistical/machine learning models for data analysis. Communicate findings to senior stakeholders.


Candidate Profile :


6- 10 years of experience in data science position (preferably in Banking and Financial Services). Master's degree in economics, Mathematics, Engineering, Computer Science, Operations Research or Related areas is preferred; candidates with BT.ech/BS degrees from the top tier academic institutions are also welcome to apply. Experience in programming in Python, SQL and/or SAS. Excellent understanding of Model Development and Validation in Credit Risk domain. Understanding of statistical concepts like (t-tests, chi-square tests, hypothesis testing, regression analysis, etc). Excellent understanding of machine learning techniques and algorithms, such as Classification, Clustering, Random Forest, XGBoost, GBM, Neural Networks. Or hands-on with Strategy building and optimization in credit Risk. Industry experience related to data science will be preferred over academic/online projects or courses. Good communication and presentation skills. Excellent problem-solving skills.


Workflow
Workflow Type


L&S-DA-Consulting