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Open nowPosted yesterday

Client Solutions Analyst

MKP CAPITAL ASIA PTE. LTD.

Pay
SGD 5,250 – SGD 6,250 a month
Where
Central, Singapore
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Your applicationOpen nowClient Solutions AnalystMKP CAPITAL ASIA PTE. LTD. · Central, Singapore
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Share of postings closed within
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  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted yesterday

The posting

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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