RegTech & Data Analytics Manager - Compliance Strategy & Governance

The Bank of East Asia (BEA); Hong Kong; On-site; HKD 600,000 - 1,000,000; Full time

Job summary

The Bank of East Asia (BEA) in Hong Kong seeks an experienced Compliance Data Analytics professional to drive the data and analytics strategy for regulatory transformation. You will develop data-driven compliance solutions, monitor frameworks, and deliver actionable insights for senior management.

You will lead data analytics and RegTech initiatives, govern the Compliance DataMart with CDEs, and collaborate with Compliance and IT to deliver self-service analytics and dashboards for AML, fraud,

Qualifications

• University degree in Computer Science, Data Science, Applied Statistics, Decision Science, Information Systems, or related discipline.
• At least 5 years' experience in Data Science, Data Management or Business Analytics within recognised financial institutions and/or FinTech/RegTech industries.
• Hands-on experience in data engineering, DataMart development and cloud environments, such as GCP or AWS.
• Strong proficiency in SQL, data preparation, data governance and BI/visualisation tools such as Tableau or Power BI.
• Experience in data migration and transformation projects would be highly desirable.
• Strong communication and stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences.

Responsibilities

• Lead end-to-end data analytics and RegTech initiatives to enhance compliance effectiveness, operational efficiency and risk mitigation.
• Drive the design, onboarding and governance of the Compliance DataMart, including Critical Compliance Data Elements (CDEs), data quality, dictionary, lineage and traceability.
• Develop compliance risk dashboards and automated monitoring covering AML alerts, fraud trends, regulatory breaches and KRIs.
• Partner with Compliance and IT teams to translate business requirements into effective data and analytics solutions.
• Enable greater adoption of self-service data extraction, reporting and analytics tools.
• Work with internal stakeholders and external vendors to deliver compliance transformation and digitalisation initiatives.

Skills

Data analytics

RegTech

Stakeholder management

Communication

Bilingual English/Chinese

Data governance

Education

Bachelor's degree in Computer Science, Data Science, Applied Statistics, Decision Science, Information Systems, or related discipline

Tools

SQL

Tableau

Power BI

GCP

AWS

DataMart

Job description

Assist the Section Head in driving compliance transformation projects and executing the overarching data and analytics strategy. The role focuses on developing data-driven compliance solutions, translating compliance requirements into monitoring frameworks/KPIs, leading Compliance DataMart design and CDE governance, and delivering actionable insights for senior management.

Responsibilities

• Lead end-to-end data analytics and RegTech initiatives to enhance compliance effectiveness, operational efficiency and risk mitigation.
• Drive the design, onboarding and governance of the Compliance DataMart, including Critical Compliance Data Elements (CDEs), data quality, dictionary, lineage and traceability.
• Develop compliance risk dashboards and automated monitoring covering areas such as AML alerts, fraud trends, regulatory breaches and KRIs.
• Partner with Compliance and IT teams to translate business requirements into effective data and analytics solutions.
• Enable greater adoption of self-service data extraction, reporting and analytics tools.
• Work with internal stakeholders and external vendors to deliver compliance transformation and digitalisation initiatives.

Requirements

• University degree in Computer Science, Data Science, Applied Statistics, Decision Science, Information Systems, or a related discipline.
• At least 5 years' experience in Data Science, Data Management or Business Analytics within recognised financial institutions and/or FinTech/RegTech industries.
• Hands-on experience in data engineering, DataMart development and cloud environments, such as GCP or AWS.
• Strong proficiency in SQL, data preparation, data governance and BI/visualisation tools such as Tableau or Power BI.
• Experience in data migration and transformation projects would be highly desirable.
• Strong communication and stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences.
• Good command of spoken and written English and Chinese (Cantonese and Mandarin).
• Professional qualifications such as CAMS, CAMLP/AAMLP under ECF on AML/CFT, or ECF on FinTech would be an advantage

Personal data provided by job applicants will be used for recruitment purposes only and will betreated in accordance with the Bank's Personal Information Collection (Employees) Statement and Privacy Policy Statement. Applicants who are not invited for interviews within six weeks may consider their applications unsuccessful and the personal data collected will be destroyed after 1 year.