Data Analyst - SQL

Job Description: You will be joining a leading global bank to drive data-led fraud risk management initiatives. Your role will involve analyzing large datasets to identify fraud patterns, trends, risks, and opportunities. You will be responsible for developing and maintaining automated data pipelines and reporting solutions. Additionally, you will perform data quality, lineage, and controls investigations, build analytical models, and provide actionable insights to business stakeholders to support fraud risk management through data-driven decision-making. Key Responsibilities: - Analyze large datasets to identify fraud patterns, trends, risks, and opportunities. - Develop and maintain automated data pipelines and reporting solutions. - Perform data quality, lineage, and controls investigations. - Build analytical models and provide actionable insights to business stakeholders. - Support fraud risk management through data-driven decision-making. Qualifications Required: - Experience in Fraud Analytics, Risk Analytics, or Banking Analytics. - Solid hands-on expertise in SQL, SAS, and Data Analysis. - Excellent problem-solving, stakeholder management, and communication skills. - Banking, Financial Services, or Fraud Risk domain experience preferred. Job Description: You will be joining a leading global bank to drive data-led fraud risk management initiatives. Your role will involve analyzing large datasets to identify fraud patterns, trends, risks, and opportunities. You will be responsible for developing and maintaining automated data pipelines and reporting solutions. Additionally, you will perform data quality, lineage, and controls investigations, build analytical models, and provide actionable insights to business stakeholders to support fraud risk management through data-driven decision-making. Key Responsibilities: - Analyze large datasets to identify fraud patterns, trends, risks, and opportunities. - Develop and maintain automated data pipelines and reporting solutions. - Perform data quality, lineage, and controls investigations. - Build analytical models and provide actionable insights to business stakeholders. - Support fraud risk management through data-driven decision-making. Qualifications Required: - Experience in Fraud Analytics, Risk Analytics, or Banking Analytics. - Solid hands-on expertise in SQL, SAS, and Data Analysis. - Excellent problem-solving, stakeholder management, and communication skills. - Banking, Financial Services, or Fraud Risk domain experience preferred.