Manager - Data Analytics

You will be joining MUFG Global Service Private Limited, a subsidiary of MUFG that serves as a Global Capability Centre to support various functions for MUFG Bank offices globally. Your role will involve establishing GFCD's Global Data Platform capabilities for MUFG, focusing on advanced data analytics to combat financial crimes. **Main Responsibilities:** - Lead the gathering and documentation of business requirements for GFCDs global data platform, focusing on advanced data analytics for transaction monitoring and sanctions screening. - Provide expert guidance on creating sustainable data pipelines and employing cutting-edge analytical techniques for transaction analysis. - Develop, test, and maintain robust ETL processes and Python scripts to support sophisticated analytics. - Analyze complex data sets using data mining and machine learning techniques to identify patterns indicative of financial crimes. - Collaborate with business stakeholders to design innovative data solutions for risk identification and mitigation. - Conduct exploratory data analysis to uncover actionable insights and present findings to drive decision-making. - Ensure compliance with technical best practices for data integrity and security. - Support cross-functional teams to foster a collaborative work environment. **Candidate Profile:** **Skills and Knowledge:** - Experienced in transaction monitoring and analyzing transactions for suspicious activities related to financial crimes. - Skilled in conducting sanctions screening to ensure compliance with regulatory requirements. - Expertise in Python, Scala, and SQL with knowledge of rules-based and machine learning models for transaction monitoring and sanctions screening. - Proficient in Databricks and Apache Spark for developing scalable data pipelines and complex data analysis. - Possess relevant certifications such as Databricks Certified Data Analyst Associate, Databricks Certified Machine Learning Associate, and Databricks Certified Data Engineer Associate. - Strong communication and presentation skills to convey complex data insights to non-technical stakeholders. - Ability to manage multiple priorities effectively. **Education & Professional Qualifications:** - Bachelors degree in computer science, Information Systems, Information Technology, or related field. **Experience:** - 6-8 years of experience in financial crimes data analytics within the financial services industry. You will be joining MUFG Global Service Private Limited, a subsidiary of MUFG that serves as a Global Capability Centre to support various functions for MUFG Bank offices globally. Your role will involve establishing GFCD's Global Data Platform capabilities for MUFG, focusing on advanced data analytics to combat financial crimes. **Main Responsibilities:** - Lead the gathering and documentation of business requirements for GFCDs global data platform, focusing on advanced data analytics for transaction monitoring and sanctions screening. - Provide expert guidance on creating sustainable data pipelines and employing cutting-edge analytical techniques for transaction analysis. - Develop, test, and maintain robust ETL processes and Python scripts to support sophisticated analytics. - Analyze complex data sets using data mining and machine learning techniques to identify patterns indicative of financial crimes. - Collaborate with business stakeholders to design innovative data solutions for risk identification and mitigation. - Conduct exploratory data analysis to uncover actionable insights and present findings to drive decision-making. - Ensure compliance with technical best practices for data integrity and security. - Support cross-functional teams to foster a collaborative work environment. **Candidate Profile:** **Skills and Knowledge:** - Experienced in transaction monitoring and analyzing transactions for suspicious activities related to financial crimes. - Skilled in conducting sanctions screening to ensure compliance with regulatory requirements. - Expertise in Python, Scala, and SQL with knowledge of rules-based and machine learning models for transaction monitoring and sanctions screening. - Proficient in Databricks and Apache Spark for developing scalable data pipelines and complex data analysis. - Possess relevant certifications such as Databricks Certified Data Analyst Associate, Databricks Certified Machine Learning Associate, and Databricks Certified Data Engineer Associate. - Strong communication and presentation skills to convey complex data insights to non-technical stakeholders. - Ability to manage multiple priorities effectively. **Education & Professional Qualifications:** - Bachelors degree in computer science, Information Systems, Information Technology, or related field. **Experience:** - 6-8 years of experience in financial crimes data analytics within the financial services industry.