Job
Description
Role Overview: As a Business Analyst / Data Analyst in the banking domain, you will play a crucial role in analyzing data and providing valuable insights to support decision-making processes. Your primary responsibilities will include performing impact analysis, lookback analysis, and source to target data mapping. You should have a strong technical background with proficiency in SQL, Python, and MS Excel for conducting data analysis to identify anomalies and patterns. Additionally, your expertise in Anti-Money Laundering (AML) domain and familiarity with Transaction Monitoring, KYC / CDD Framework, and Case / Workflow management will be essential for success in this role. Key Responsibilities: - Utilize your 6-8 years of work experience to perform impact analysis, lookback analysis, and source to target data mapping - Demonstrate proficiency in SQL, Python, and MS Excel for data analysis to identify anomalies and patterns - Apply your knowledge of Anti-Money Laundering (AML) domain, including typologies and red flags, Transaction Monitoring, KYC / CDD Framework, and Case / Workflow management - Gain first-hand experience with 3rd party Transaction Monitoring tools such as Actimize SAM8, Quantexa, Oracle Mantas, or equivalent - Gather and document business and functional requirements effectively - Write and track JIRA stories to ensure project progress and completion - Apply your knowledge of Agile and scrum methodologies to contribute to the team's success Qualifications Required: - Bachelor's degree in a relevant field - 6-8 years of experience as a business and data analyst in the banking domain - Proficiency in SQL, Python, and MS Excel - Strong understanding of Anti-Money Laundering (AML) domain concepts and tools - Experience with 3rd party Transaction Monitoring tools is a plus - Excellent communication and collaboration skills - Ability to work effectively in a fast-paced and dynamic environment (Note: No additional details about the company were provided in the job description) Role Overview: As a Business Analyst / Data Analyst in the banking domain, you will play a crucial role in analyzing data and providing valuable insights to support decision-making processes. Your primary responsibilities will include performing impact analysis, lookback analysis, and source to target data mapping. You should have a strong technical background with proficiency in SQL, Python, and MS Excel for conducting data analysis to identify anomalies and patterns. Additionally, your expertise in Anti-Money Laundering (AML) domain and familiarity with Transaction Monitoring, KYC / CDD Framework, and Case / Workflow management will be essential for success in this role. Key Responsibilities: - Utilize your 6-8 years of work experience to perform impact analysis, lookback analysis, and source to target data mapping - Demonstrate proficiency in SQL, Python, and MS Excel for data analysis to identify anomalies and patterns - Apply your knowledge of Anti-Money Laundering (AML) domain, including typologies and red flags, Transaction Monitoring, KYC / CDD Framework, and Case / Workflow management - Gain first-hand experience with 3rd party Transaction Monitoring tools such as Actimize SAM8, Quantexa, Oracle Mantas, or equivalent - Gather and document business and functional requirements effectively - Write and track JIRA stories to ensure project progress and completion - Apply your knowledge of Agile and scrum methodologies to contribute to the team's success Qualifications Required: - Bachelor's degree in a relevant field - 6-8 years of experience as a business and data analyst in the banking domain - Proficiency in SQL, Python, and MS Excel - Strong understanding of Anti-Money Laundering (AML) domain concepts and tools - Experience with 3rd party Transaction Monitoring tools is a plus - Excellent communication and collaboration skills - Ability to work effectively in a fast-paced and dynamic environment (Note: No additional details about the company were provided in the job description)
