(Senior) Data Analyst, Bank Fraud Team - AI/ML, 50k - JN-012026-6918423 | Michael Page | Hong Kong, HK

Michael Page
HK
RemoteCareer-pivot friendly

Why this role

Pace
Fast Paced
The role requires a fast-paced work environment, as evidenced by the need to develop and implement data-driven strategies quickly to support customer relationship management goals and tackle risk areas like fraud and collections.
Collaboration
High
Collaboration is a key aspect of this role, as the job description mentions working with cross-functional teams to align analytics initiatives with business objectives, indicating a high level of teamwork and coordination.
Autonomy
Medium
The position offers a significant level of autonomy, as the successful applicant will be responsible for maintaining and optimizing the CRM system and providing training and support to team members, requiring independent decision-making.
Decision Impact
Team
The decisions made in this role can have a significant impact on business performance, as the analyst will be developing predictive models and analyzing large datasets to identify trends and opportunities for business growth.
Role Level
Individual Contributor
The complexity of the role is high, as it involves advanced analytics, predictive modeling, and AI/ML techniques to manage fraud risks and optimize business performance, requiring a deep understanding of data and technology.
Career Pivot Friendly
Welcomes transferable skills
Individuals with experience in data analytics, particularly in the financial services sector, can easily transition into this role, as the job requires similar competencies and a strong background in data-driven decision-making.

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • data-driven strategies for fraud management
  • improved data quality
Typical background
data analystfraud management

Transferable backgrounds

  • Coming from Data Analyst in a retail bank
    data mining · predictive modeling
    Experience in data mining and predictive modeling in a retail bank setting can be directly applied to the role's requirement for developing and implementing data-driven strategies.
  • Coming from CRM Specialist in a tech company
    CRM system optimization · report creation
    A CRM Specialist's expertise in optimizing CRM systems and creating detailed reports aligns well with the role's need to maintain and optimize the CRM platform and communicate findings through reports and dashboards.

Skills & requirements

Required

Data AnalysisPredictive ModelingAi/ml

Preferred

Risk Domain Knowledge

Stack & domain

PythonSQLBigQueryTableauQliksenseGCPAIMLFraud Management

About the role

This role involves a senior data analyst working closely with a fraud management team in a leading Hong Kong bank, utilizing AI and ML to prevent fraud and enhance business performance. Ideal candidates are those with a strong background in data analytics and a keen interest in leveraging technology to solve complex business challenges.

Original posting from Michael Page

  • Min. 3 years in Data Analyst, Fraud Management in Bank
  • 1 year Renewable Contract, leading Bank in HK About Our Client

This opportunity is with a leading bank in Hong Kong. The company is known for its structured environment and focus on leveraging data to optimize business performance.

Job Description

  • Developing and implementing data-driven strategies to support customer relationship management goals.
  • Turn big, complex data into smart insights using advanced analytics, predictive models, and AI/ML to tackle risk areas like Fraud, Collections, and Underwriting.
  • Analyzing large datasets to identify trends, insights, and opportunities for business growth.
  • Maintaining and optimizing the CRM system to ensure its effective usage across teams.
  • Collaborating with cross-functional teams to align analytics initiatives with business objectives.
  • Creating detailed reports and dashboards to communicate findings and recommendations.
  • Monitoring and improving data quality and accuracy within the CRM platform.
  • Providing training and support to team members on CRM tools and analytics best practices.
  • Staying updated with the latest trends and technologies in data analytics and CRM systems. The Successful Applicant
  • Degree in Statistics, Mathematics, Computer Science, or related field.
  • Data Analyst in 3 years experience; Senior Data Analyst for 5+ years in banking analytics, modeling, and AI/ML.
  • Strong experience in data mining and insight generation.
  • Hands-on expertise in Python, SQL/BigQuery, Tableau/QlikSense, and GCP; risk domain knowledge is a plus.
  • Excellent communication and presentation skills to simplify complex ideas for varied audiences.
  • Strong business acumen, problem-solving ability, and a proactive mindset.
  • Ownership and service orientation to deliver impactful solutions. What's on Offer
  • Career growth opportunities.
  • Exposure to a large organization within the Financial Services industry. If you are passionate about analytics and CRM and are looking to grow your career in the Financial Services industry, we encourage you to apply.

Source: Michael Page careers

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