jobs in MKP CAPITAL ASIA PTE. LTD.

MKP CAPITAL ASIA PTE. LTD. Hiring! Full Time Client Solutions Analyst in Central Region (Singapore), Earn up to SGD 6,250 - Ricebowl

Client Solutions Analyst

MKP CAPITAL ASIA PTE. LTD.

Outram, Central Region (Singapore)

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Working Location

  • Outram Central Region (Singapore) Singapore

Job Description

Responsibilities

MKP, a global alternative investment manager founded in 1995 and headquartered in New York with offices in Miami, London and Singapore, is seeking an entry-level candidate to join the Client Solutions team in Singapore.

The roles upports client communication, investor reporting, tracking of client deliverables, calendar and agenda management, CRM maintenance and AI-enabled research. It involves close collaboration with departments across the firm. The ideal candidate is detail-oriented, takes initiative, and works well both independently and on a team.

Responsibilities

  • Handle internal and external requests with care, urgency and attention to detail. Time-sensitive emails may occasionally require a response outside office hours.
  • Support the preparation and distribution of monthly investor reports.
  • Collaborate with teams across the firm to ensure client deliverables are completed on time and to a high standard.
  • Manage the client services inbox during Singapore hours.
  • Maintain CRM records, including contacts, client interaction notes, and conference registrations and deliverables.
  • Prepare meeting agendas and reference guides for investor conferences.
  • Prepare internal reporting for the Client Solutions team.
  • Use AI tools and industry data sources to research prospective investors.
  • Help track the prospect pipeline and communication cadence.
  • Prepare weekly team meeting agendas, track action items and follow up on progress.
  • Support internal documentation workflows with Legal and Compliance.
  • Manage calendars for Singapore-based team members and help coordinate Singapore investor events.
  • Take ownership of ad-hoc projects and proactively identify ways to improve efficiency.
  • Embed AI into day-to-day workstreams to improve team productivity.

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