Sumit Kumar

Associate Consultant

South Delhi, Delhi, India5 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

8+ years of experience in credit risk analysis.
Expertise in SAS and SQL for data-driven decision making.
Proven track record in model validation and process improvements.

Stackforce AI infers this person is a Fintech professional with strong expertise in credit risk analytics and data validation.

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Skills

Core Skills

Credit RiskData AnalysisModel Validation

Other Skills

AWSAnalyticsBFSIData ValidationExcelHadoopIBM Platform Process ManagerLinuxSASSAS Enterprise GuideSAS Management ConsoleSQLTeradataVisualizationWeb Automation

About

Currently working with Barclays and having 8+ yrs. of experience with a can do attitude. Working as Credit Acq. Credit Strategy Senior Analyst responsible for developing, validating and customizing acquisition underwriting and initial line assignment along with tracking and monitoring acquisition reports for US based ecommerce partners which includes analyzing approval rate, channel, brand, fico score, credit limits and there respective performance. Credit Risk Data Model Validation - Performed testing which involve process, metadata, data and regression testing along with gap analysis. Support research, analysis and development of credit risk data-fields, data-marts and meta-data Support credit risk data migrations, system transitions, data-mapping, data lineage, data reconciliation and documentation. Identify opportunities and deliver process improvements, standardization, rationalization and automations Support the Analysis/validation process for Credit Risk data-marts to monitor and mitigate any potential and identified credit risks · Worked as SAS Developer & Administrator for Financial/ Banking Group. · MIS Reporting : NTB, NTC, Digital Acquisition, TPO, Customer Attrition, Credit Card Relationship and Loans. Credit Cards Analytics - Campaign automation and validation framework is to validate the campaign throughout the journey i.e Issuance,Activation,Usage,Fulfillment and Reminders. Familiarity with Agile methodology and with tools such as Jira, Confluence Skills - Used SAS Enterprise Guide, SQL, AWS, SAS Management Console, IBM Platform Process Manager, Teradata, Hive, Linux, Excel. Completed IBM Bluemix Certification from IBM also did a Google Cloud Core Infrastructure Certification from Coursera.

Experience

Full-time

Wipro Technologies

– Present

Barclays

Senior Analyst

May 2022 – Present · 3 yrs 10 mos · Noida

Working as Credit Acq. Credit Strategy Senior Analyst responsible for developing, validating and customizing acquisition underwriting and initial line assignment along with tracking and monitoring acquisition reports for US based ecommerce partners which includes analyzing approval rate, channel, brand, fico score and credit limits.
Tech stack - SAS, SQL, Hadoop, Excel, Web Scraping, Web Automation

SASSQLHadoopExcelWeb ScrapingWeb Automation+2

Deloitte

Assistant Manager

Oct 2021 – Apr 2022 · 6 mos · Gurugram, Haryana, India

Part of Global Risk Analytics Transformation team and as a Consultant responsible for analysing the
required data from source systems of which some of which are accessed via SAS and documenting
and Testing the data required for the production of, but not limited to, Probability of Default (PD),
Loss Given Default (LGD), Exposure at Default (EAD), in order to support the new flow of data from
source into a new Hadoop data environment which will be used to develop and monitor the models.
▪ Supporting activities related to Model Validation and Model monitoring.
▪ Familiarity with ML algorithm such as Logistic and Linear Regression.
▪ Used SAS Enterprise Guide, SAS Management Console, IBM Platform Process Manager, Teradata,
Linux, Excel, AWS S3 and Hadoop

SAS Enterprise GuideAnalyticsVisualizationBFSIModel ValidationData Analysis

Exl

Assistant Manager

Jan 2021 – Sep 2021 · 8 mos · Gurugram, Haryana, India

IRB Model Validation and Testing [JAN 2021 – Till Date]
▪ Working as SAS Consultant for a UK based banking client. Data Model Validation - Performed testing which involve process, metadata, data and regression testing along with gap analysis.
Support research, analysis and development of credit risk data-fields, data-marts and meta-data
Support credit risk data migrations, system transitions, data-mapping, data lineage, data reconciliation and documentation.
Identify opportunities and deliver process improvements, standardization, rationalization and automations
Support the Analysis/validation process for Credit Risk data-marts to monitor and mitigate any potential and identified credit risks.
▪ Familiarity with Agile methodology and with tools such as Jira, Confluence
▪ Used SAS Enterprise Guide, SAS Management Console, IBM Platform Process Manager, Teradata,
Linux, Excel and Tableau.