Investment Analyst - Geylang

apartmentKRISTAL ADVISORS (SG) PTE. LTD. placeGeylang scheduleFull-time calendar_month 

Role Overview:

We are looking for a high-potential analyst to join our Wealth Management & Trading team. This role offers a unique blend of exposure to HNW client advisory, cross-asset trading strategies, data analytics, and business development. You will work directly with senior leadership to support portfolio management, generate new client leads, and build tools that enhance investment decision-making.

Key Responsibility:

Client Advisory & Portfolio Support
  • Assist with onboarding of new HNW clients, ensuring smooth setup and compliance processes.
  • Support portfolio reviews and investment proposals across bonds, equities, ETFs, and options.
  • Track market developments, generate investment ideas, and support product structuring.
Lead Generation & Business Development
  • Help identify and pursue potential HNW client leads through research, referrals, and prospecting.
  • Support the organization of webinars, in-person events, and client education sessions to drive lead generation and engagement.
  • Collaborate on marketing content, pitchbooks, and investment narratives.
Data Analytics & Tools Development
  • Use Python to analyze financial data and market trends, with a focus on time series modeling and portfolio analytics.
  • Build and maintain internal dashboards and automation tools for trade and performance tracking.
  • Back-test strategies and support the development of investment models and structured ideas.
Cross-Functional Coordination
  • Liaise with operations, compliance, and technology teams to ensure a seamless client experience.
  • Participate in product innovation discussions and enhancements to our digital wealth platform.
Required Skills and Qualifications
  • 1–3 years of experience in wealth management, investment advisory, or trading
  • Undergraduate or postgraduate degree in Finance, Economics, Quantitative Finance, or related fields
  • Solid understanding of financial products, including bonds, equities, ETFs, and basic options
  • Working knowledge of Python for financial/data analysis (e.g. pandas, NumPy, matplotlib)
  • Familiarity with time series analysis and portfolio performance metrics
  • Strong communication skills and a flair for client interaction and presentation.
  • A self-starter with a growth mindset, attention to detail, and ability to work in a fast-paced, high-performance environment.
  • Event planning or client engagement experience is a plus.
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