VP - Data Analytics & Transaction Monitoring Tuning/Optimization T500-18612
3 days ago
About Us:
MUFG Bank, Ltd. is Japan's premier bank, with a global network spanning in more than 40 markets. Outside of Japan, the bank offers an extensive scope of commercial and investment banking products and services to businesses, governments, and individuals worldwide. MUFG Bank's parent, Mitsubishi UFJ Financial Group, Inc. (MUFG) is one of the world's leading financial groups. Headquartered in Tokyo and with over 360 years of history, the Group has about 120,000 employees and offers services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing. The Group aims to be the world's most trusted financial group through close collaboration among our operating companies and flexibly respond to all the financial needs of our customers, serving society, and fostering shared and sustainable growth for a better world. MUFG's shares trade on the Tokyo, Nagoya, and New York stock exchanges.
MUFG Global Service Private Limited:
Established in 2020, MUFG Global Service Private Limited (MGS) is 100% subsidiary of MUFG having offices in Bengaluru and Mumbai. MGS India has been set up as a Global Capability Centre / Centre of Excellence to provide support services across various functions such as IT, KYC/ AML, Credit, Operations etc. to MUFG Bank offices globally. MGS India has plans to significantly ramp-up its growth over the next 18-24 months while servicing MUFG's global network across Americas, EMEA and Asia Pacific.
About the Role:
Position Title: GFCD Data Analytics & Transaction Monitoring Tuning/Optimization, VP
Corporate Title: Vice President
Reporting to: Director - Global Transaction Monitoring
Location: Bangalore
Job Profile
Position details:
Purpose of Role:
We are seeking a highly skilled and data-driven Senior Financial Crime Analytics Team Lead to join our Global Financial Crimes Division (GFCD) team. In this role, you will lead a team responsible for primarily using Actimize and Databricks to conduct advanced analytics to enhance our transaction monitoring (TM) and customer risk rating (CRR) capabilities. You will work at the intersection of data science, compliance, and technology to advise, build, and configure scalable solutions that protect the organization from financial crime.
Main Responsibilities:
- Responsible for strategizing the team's initiatives and determining measurable outcomes with GFCD management that align the MGS team's goals with broader GFCD global program goals on an annual basis.
- Manage the team's progress against project/initiative timelines and goals agreed upon with GFCD management.
- Coordinate with global stakeholders to conduct analytics supporting all regional financial crimes offices (Americas, EMEA, APAC, Japan)
- Oversee the design and implementation of TM and CRR tuning methodologies, including what-if scenario analysis, threshold optimization, and ATL/BTL sampling.
- Lead the end-user team using the full suite of Databricks capabilities to support GFCD's goals related to analytics, tuning and optimization.
- Supervise exploratory data analysis (EDA) and communicate insights to stakeholders to support decision-making.
- Oversee and guide the team to analyze complex datasets, identify new methods to detect anomalies, and assist with the development of and the execution of a strategy to apply machine learning techniques for financial crime detection.
- Guide the development of sustainable data pipelines and robust ETL processes using Python, R, Scala, and SQL.
- Build and maintain utilities that support TM optimization.
- Ensure compliance with technical standards, data integrity, and security policies.
- Collaborate with centralized reporting, data governance, and operational teams to ensure alignment and efficiency.
Skills and knowledge:
- Transaction Monitoring (Actimize): Experienced with Actimize for monitoring and analyzing transactions to identify suspicious activities and red flags indicative of money laundering, terrorism financing, and other financial crimes.
- Strong Technical Skills: Expertise in Python, Scala, and SQL, with familiarity with rules-based and machine learning models and model governance; ideally those relevant to transaction monitoring and sanctions screening.
- Proficiency in Databricks and Apache Spark: Skilled in developing scalable data pipelines and performing complex data analysis using Databricks and Apache Spark, with experience in Delta Lake for efficient data storage and real-time data streaming applications.
- Relevant Certifications: Databricks Certified Data Analyst Associate, Databricks Certified Machine Learning Associate, Databricks Certified Data Engineer Associate.
- Experience with transaction monitoring, sanctions screening, and financial crimes data sources.
- Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
Job Requirements:
Additional skills:
- Experience interfacing with banking regulators and enforcement staff
- Thorough understanding of an effective financial crimes risk management framework
- Demonstrated ability to manage multiple projects simultaneously
- The ability to interact effectively at all levels of the organization, including Bank staff, management, directors and prudential regulators
- Ability to work autonomously and initiate and prioritize own work
- Ability to work with teams of project managers
- Solid judgment, strong negotiating skills, and a practical approach to implementation – including knowledge of Bank systems
- Ability to balance regulatory requirements with the best interests of the Bank and its customers
- Ability to prepare analytical reports and visual representation of information.
- Ability to apply mathematical principles or statistical approaches where needed to solve problems.
Education & professional qualifications:
- Bachelor's degree in computer science, Information Systems, Information Technology, or related field.
Experience:
- 15+ years of experience in financial crimes data analytics within the financial services industry.
Equal Opportunity Employer:
The MUFG Group is committed to providing equal employment opportunities to all applicants and employees and does not discriminate on the basis of race, colour, national origin, physical appearance, religion, gender expression, gender identity, sex, age, ancestry, marital status, disability, medical condition, sexual orientation, genetic information, or any other protected status of an individual or that individual's associates or relatives, or any other classification protected by the applicable laws.
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