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Jobs in Singapore   »   Jobs in Singapore   »   Information Technology Job   »   Senior Data Manager - Financing/Lending/Credit Scoring Products
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Senior Data Manager - Financing/Lending/Credit Scoring Products

Randstad Pte. Limited

about company

I am currently working with a well-known tech product based company focusing on travel and ecommerce. Role based in Singapore. Open to overseas candidate is willing to relocate to Singapore.


Attractive salary package! 3-4 rounds of interview to offer stage. 5 days in office at CBD.


about job

  • Lead and manage a team of 5-7 data analysts in Indonesia. 80% hands-on, 20% management
  • Need to travel 1 week every 2 months to SEA countries
  • Partner with Financing products (Lending product/Credit Scoring) commercial stakeholders
  • Develop and implement a unified data strategy for financing activities aligned with company objectives
  • Design, build, and maintain data pipelines and dashboards to track key performance indicators (KPIs) for user acquisition, conversion, transaction behavior, credit risk (PayLater), insurance economics, and fraud
  • Conduct in-depth data analysis to identify trends, growth opportunities, and improvement areas in user acquisition, conversion, risk management, and product development (for Financing products).
  • Leverage data to inform credit risk modeling for PayLater and actuarial modeling for insurance, ensuring responsible lending and product offerings.

skills and requirements

  • Min 7 years of experience in a data leadership role, preferably within the financial technology industry.
  • Proven experience in managing and mentoring data analysts.
  • Strong understanding of data analysis methodologies, including SQL, statistics, and machine learning (a plus).
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Experience working with data pipelines and cloud platforms (e.g., GCP) (a plus).
  • Excellent communication and presentation skills, with the ability to translate complex data insights into clear and actionable recommendations for non-technical audiences.



To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

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