Data Analytics, Banking

Talentquest HR Limited; Hong Kong; On-site; HKD 480,000 - 600,000; Full time

Job summary

Talentquest HR Limited, Hong Kong, seeks a data analytics professional to extract, clean and analyze data to support risk and compliance reviews. You will identify risk patterns in customer and transaction data and help validate results for model development.

The role requires Python and/or PySpark/SQL proficiency, experience with large datasets, and fluency in English and Chinese. Collaboration with business and compliance teams will be essential to deliver timely insights.

Qualifications

• Degree in Data Science, Analytics, Mathematics, Statistics, Computer Science, IT, or related discipline.
• Experience in data analysis with large datasets, preferably in banking/financial services.
• Proficiency in Python and/or PySpark/SQL with data manipulation and analysis.
• Experience with banking data or cloud/big data tech is a plus.
• Strong analytical, problem-solving and communication skills.
• Fluent in English and Chinese.

Responsibilities

• Extract, clean and analyze data from diverse sources to support risk reviews.
• Analyze customer and transaction data to identify risk patterns and potential financial crime risks.
• Support data analysis and model development by building data extraction logic and validating results.
• Collaborate with business and compliance teams to meet data needs and deliver timely analyses.
• Present analytical findings clearly to stakeholders.

Skills

Python

PySpark/SQL

Analytical thinking

Problem-solving

Communication skills

Education

Degree in Data Science, Business Analytics, Mathematics, Statistics, Computer Science, IT, or related discipline

Tools

Cloud platforms

Big data technologies

Data pipelines

Job description

Extract, clean, and analyze data from different sources to support risk and compliance reviews.

Analyze customer and transaction data to identify risk patterns, unusual activities, and potential financial crime risks.

Support data analysis and model development by building data extraction logic and validating results.

Work with business and compliance teams to understand data needs and deliver timely analysis for both regular and ad-hoc requests.

Present analytical findings and insights clearly to relevant stakeholders.

Requirements

Degree in Data Science, Business Analytics, Mathematics, Statistics, Computer Science, IT, or a related discipline.

Experience in data analysis and working with large datasets, preferably within banking or financial services.

Proficiency in Python and/or PySpark/SQL, with experience in data manipulation and analysis.

Experience with banking data, data pipelines, cloud platforms, or big data technologies is an advantage.

Strong analytical, problem-solving, and communication skills.

Fluent in English and Chinese.