Description:

Mandatory Skills

Strong understanding of Corporate Banking, Credit Risk, Lending, Credit Approval and Limit Management processes.
Hands-on experience working on Credit Proposal, ELCM (Enterprise Limit Management), Credit Workflow, Loan Origination, Credit Risk, Limit Management, or Collateral Management platforms.
Advanced proficiency in SQL with hands-on experience in data analysis, profiling, reconciliation, validation, and root cause analysis.
Strong experience in Business Analysis, Requirement Gathering, Functional Analysis, and Data Analysis.
Experience in Source-to-Target Mapping (STM), Data Lineage Analysis, and Data Flow Documentation.
Robust understanding of banking data domains including Customers, Facilities, Limits, Collateral, Covenants, Ratings, Credit Proposals, and Credit Applications.
Hands-on experience in Data Quality Assessment, Data Profiling, Data Reconciliation, and Data Validation activities.
Experience in preparing BRD, FRD, Functional Specifications, Data Mapping Documents, User Stories, and Test Scenarios.
Experience supporting SIT, UAT, Data Migration, and Business Validation activities.
Strong analytical, problem-solving, communication, and stakeholder management skills.

Desired Skills

Experience in Corporate Banking transformation programs, Credit Risk initiatives, or Lending platform implementations.
Exposure to Moody's, nCino, Finastra, FIS, Temenos, Oracle Banking, or similar banking platforms.
Knowledge of Basel, IFRS9, Regulatory Reporting, Risk Data Management, and Data Governance frameworks.
Experience with Power BI, Tableau, Azure Data Platform, Databricks, or Enterprise Data Warehouses.
Understanding of Data Governance, Data Quality Management, and Data Stewardship practices.

Roles & Responsibilities





Business & Data Analysis Gather, analyze, and document business, functional, and data requirements from Credit Risk, Corporate Banking, and Operations stakeholders.
Data Discovery & Mapping Perform source system analysis, data lineage assessment, and source-to-target mapping for credit and limit management data.
Credit & Risk Data Analysis Analyze customer, facility, limit, collateral, covenant, rating, and credit proposal data to support business requirements.
Data Quality & Reconciliation Conduct data profiling, quality assessments, reconciliations, and root cause analysis to identify and resolve data issues.
Business Rules & Documentation Define business rules, transformation logic, validation rules, and maintain project artefacts.
Testing Support Prepare test cases, validate data, support SIT/UAT activities, and assist in defect resolution.
Stakeholder Collaboration Work closely with Business, Risk, Operations, Technology, Data Engineering, and Vendor teams.
Data Migration Support Support migration planning, validation, reconciliation, and production readiness activities.
Governance & Reporting Maintain data dictionaries, mapping documents, lineage documents, and provide project status updates.

Overall years of experience 8+ years of experience in Data Analysis, Business Analysis, Banking Technology, or Data Management. Relevant years of experience 5+ years of experience in Corporate Banking, Credit Risk, Lending, ELCM, Credit Proposal, Limit Management, or related banking transformation programs. Industry & Education background Bachelor's degree in Computer Science, Information Systems, Finance, Banking, Business Administration, or related fields. Experience within Corporate Banking, Credit Risk, Lending, or Banking Transformation programs is mandatory

Enable Skills-Based Hiring No

📌 Data Analyst (Karnataka)
🏢 LanceSoft Europe
📍 Karnataka