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Jobs in Singapore   »   Jobs in Singapore   »   Client Engagement Manager - Financial Saas Platforms
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Client Engagement Manager - Financial Saas Platforms

Randstad Pte. Limited

About the company

My client is a global leader in financial insights, analysis, providing comprehensive tools and solutions for credit ratings, risk assessment, and market intelligence to financial institutions & beyond and helping them drive & make strategic decisions.

As part of its expansion, they are looking for a Client Engagement Manager to join their regional team where you would play a critical role in onboarding clients, providing continuous education, and building strategies to enhance engagement and retention.


About the role

Reporting to to the APAC Regional Director, your responsibilities would includes

  • Oversee the onboarding for new clients, ensuring they are well-equipped to utilize the company's web platforms effectively.
  • Collaborate closely with clients to understand their needs and objectives, ensuring the platform delivers measurable value.
  • Provide ongoing support to existing customers, offering solutions to optimize their experience and drive success.
  • Develop strong relationships with clients, becoming their trusted advisor for the platform.
  • Monitor usage patterns and proactively address issues to ensure long-term satisfaction and retention.
  • Partner with sales colleagues to identify opportunities for growth within existing accounts.
  • Gather customer feedback and insights to influence product development and improve user experience.
  • Stay informed about industry trends and competitors to offer relevant and impactful advice to customers.

Skills and experience required

  • Proven experience in customer success, account management, or a related field, preferably in financial services or SaaS platforms.
  • Exceptional communication and presentation skills, with the ability to translate technical information into user-friendly language.
  • Strong analytical skills to interpret customer data and usage patterns for actionable recommendations.

If you are interested in the position, please click “apply” David Lerh (EA:94C3609/ R1769977).

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