5 Banking Systems Jobs

Python, .net ERP products exposure and Banking products exposure Certification on integration AWS certification preferred 2-4 Integration projects on Banking or ERP systems 1 Project on providing integration from AWS to external systems Experience in Hospitality industry or Bank is preferred

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP for Banking Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process and ensuring seamless communication within the team and stakeholders. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the application development process effectively - Ensure seamless communication within the team and stakeholders Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP for Banking - Strong understanding of SAP modules and functionalities - Experience in implementing SAP solutions for banking industry - Knowledge of SAP integration with banking systems - Hands-on experience in SAP configuration and customization

Job Summary: We are looking for a skilled Data Analyst to support a large-scale data migration initiative within the banking and insurance domain. The role involves analyzing, validating, and transforming data from legacy systems to modern platforms, ensuring regulatory compliance, data integrity, and business continuity. Key Responsibilities: Collaborate with business stakeholders, data architects, and IT teams to gather and understand data migration requirements. Analyze legacy banking and insurance systems (e.g., core banking, policy admin, claims, CRM) to identify data structures and dependencies. Work with large-scale datasets and understand big data architectures (e.g., Hadoop, Spark, Hive) to support scalable data migration and transformation. Perform data profiling, cleansing, and transformation using SQL and ETL tools, with the ability to understand and write complex SQL queries and interpret the logic implemented in ETL workflows. Develop and maintain data mapping documents and transformation logic specific to financial and insurance data (e.g., customer KYC, transactions, policies, claims). Validate migrated data against business rules, regulatory standards, and reconciliation reports. Support UAT by preparing test cases and validating migrated data with business users. Ensure data privacy and security compliance throughout the migration process. Document issues, risks, and resolutions related to data quality and migration. Required Skills & Qualifications: Bachelor's degree in Computer Science, Information Systems, Finance, or a related field. 5+ years of experience in data analysis or data migration projects in banking or insurance. Strong SQL skills and experience with data profiling and cleansing. Familiarity with ETL tools (e.g., Informatica, Talend, SSIS) and data visualization tools (e.g., Power BI, Tableau). Experience working with big data platforms (e.g., Hadoop, Spark, Hive) and handling large volumes of structured and unstructured data. Understanding of banking and insurance data domains (e.g., customer data, transactions, policies, claims, underwriting). Knowledge of regulatory and compliance requirements (e.g., AML, KYC, GDPR, IRDAI guidelines). Excellent analytical, documentation, and communication skills. Preferred Qualifications: Experience with core banking systems (e.g., Finacle, Flexcube) or insurance platforms Exposure to cloud data platforms (e.g.,AWS, Azure, GCP). Experience working in Agile/Scrum environments. Certification in Business Analysis (e.g., CBAP, CCBA) or Data Analytics.

We are looking for a skilled Data Analyst to support a large-scale data migration initiative within the banking and insurance domain. The role involves analyzing, validating, and transforming data from legacy systems to modern platforms, ensuring regulatory compliance, data integrity, and business continuity. Key Responsibilities: Collaborate with business stakeholders, data architects, and IT teams to gather and understand data migration requirements. Analyze legacy banking and insurance systems (e.g., core banking, policy admin, claims, CRM) to identify data structures and dependencies. Work with large-scale datasets and understand big data architectures (e.g., Hadoop, Spark, Hive) to support scalable data migration and transformation. Perform data profiling, cleansing, and transformation using SQL and ETL tools, with the ability to understand and write complex SQL queries and interpret the logic implemented in ETL workflows. Develop and maintain data mapping documents and transformation logic specific to financial and insurance data (e.g., customer KYC, transactions, policies, claims). Validate migrated data against business rules, regulatory standards, and reconciliation reports. Support UAT by preparing test cases and validating migrated data with business users. Ensure data privacy and security compliance throughout the migration process. Document issues, risks, and resolutions related to data quality and migration. Required Skills & Qualifications: Bachelor's degree in Computer Science, Information Systems, Finance, or a related field. 5+ years of experience in data analysis or data migration projects in banking or insurance. Strong SQL skills and experience with data profiling and cleansing. Familiarity with ETL tools (e.g., Informatica, Talend, SSIS) and data visualization tools (e.g., Power BI, Tableau). Experience working with big data platforms (e.g., Hadoop, Spark, Hive) and handling large volumes of structured and unstructured data. Understanding of banking and insurance data domains (e.g., customer data, transactions, policies, claims, underwriting). Knowledge of regulatory and compliance requirements (e.g., AML, KYC, GDPR, IRDAI guidelines). Excellent analytical, documentation, and communication skills. Preferred Qualifications: Experience with core banking systems (e.g., Finacle, Flexcube) or insurance platforms Exposure to cloud data platforms (e.g.,AWS, Azure, GCP). Experience working in Agile/Scrum environments. Certification in Business Analysis (e.g., CBAP, CCBA) or Data Analytics.

Review and validate day-to-day customer transactions in accordance with standard operating procedures (SOPs) Ensure accuracy and compliance with regulatory and bank-specific guidelines Identify and escalate suspicious or unusual transactions to the compliance team Coordinate with internal teams to resolve transaction discrepancies or exceptions Maintain updated records of validated transactions and audit logs Work within defined TAT (Turn-Around-Time) and SLA (Service Level Agreements) Support internal and external audits related to transaction monitoring Maintain confidentiality and adhere to data protection policies Requisites & Skills: Experience in NBFC and P2P industry is a must Strong analytical and documentation skills Familiarity with banking systems and digital transaction platforms Ability to work in a fast-paced, high-volume environment Proficient in MS Excel and basic data tools