Manager, Financial Crime Risk Assessment, HSBC

HSBC

Location:
China, Guangzhou

Category:
Finance

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The role holder will provide data analytics and data science support for financial crime risk assessment tasks, including running programming scripts, analysing large datasets, building visualisation dashboards, and supporting training and quality assurance efforts.

Job Responsibility:

Write SQL/HQL/Python code to perform data analytics for financial crime risk insights, including (but not limited to) data analysis, data matching, data cleansing, and data quality check
Build QlikSense dashboards for data visualisation
Work with large, complex datasets, and demonstrate ability to merge large datasets to generate useful insights
Apply optimal combinations of applied mathematics, statistics, visualisation and data engineering to the area of combatting financial crime
Build on necessary skills (including those described above) through targeted training and personal development
Support the training and upskilling of colleagues, particularly more junior colleagues
Provide oversight and quality assurance for analytical outputs.

Requirements:

University degree in Computer Science, Business Analytics, Statistics or related disciplines
Minimum 2 years’ of experience in data analytics or programming
Strong analytical mind and willing to enrich technical knowledge in the field of data analytics
Ability to execute tasks and act on instructions in a time-efficient and accurate manner
Experience in building dashboards via tools such as Qlik, Tableau or Power BI
Previous experience in project management is an advantage
Knowledge and/or background in financial crime themes, such as sanctions evasion, money laundering, terrorism financing, fraud, bribery and corruption or financial intelligence would be an asset
Excellent command of written and spoken English
Experience working within the AliCloud / Hadoop ecosystem in addition to strong technical skills in analytical languages such as Python, R, SQL, SAS
Strong team player with a proactive and self-motivated attitude and ability to think and act independently.

Nice to have:

Previous experience in project management
Knowledge and/or background in financial crime themes, such as sanctions evasion, money laundering, terrorism financing, fraud, bribery and corruption or financial intelligence.

What we offer:

Flexible working
Continuous professional development
Opportunities to grow within an inclusive and diverse environment.

Additional Information:

Job Posted:
July 31, 2025

Expiration:
August 14, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Manager, Financial Crime Risk Assessment