A bakery in three years.
A marketing executive with a weekend baking business. She has RM100K set aside for equipment, a rental deposit and initial operating costs when she opens at 33.
Your programme.
One place to start.
Briefs, challenge access, tutorial instructions and your next step into the industry.
27 Oct Guest lecture2–6 Nov Tutorials9 Nov Challenge submission7 Dec Observation ends9 Dec Manulife HQ visit
RM100K. Choose your client.
Build for Aina or Ravi. Keep the case facts fixed and explain the job each fund does.
Retirement at 55.
An engineer who has accumulated RM100K through several years of employment. This money is earmarked for retirement in 25 years.
Both have a separate emergency reserve. State additional assumptions explicitly; do not change their goals to justify a preferred portfolio.
4–8 funds5–30% per fund100% allocatedOne submission
Use the approved Manulife MYR-denominated fund list in the challenge workspace. No rebalancing, switching, contributions, withdrawals or leverage after submission. Sales charges and transaction costs are excluded from the challenge calculations.
- Select Aina or Ravi as your investor. State the goal, timeline, liquidity needs and risk constraints.
- Write your own portfolio thesis: explain how the allocation serves your selected investor. Research the exact fund classes and justify weights, portfolio roles, overlap, downside risks and the main trade-off. Label additional assumptions.
- Submit once by 9 November 2026. The workspace provides the exact cutoff and valuation conventions.
- Observe through 7 December, then submit your reflection through the challenge workspace.
Submit by 9 November 2026. Observe through 7 December 2026. Check the challenge workspace for the exact submission cutoff and valuation conventions.
Manage RM10 million together.
Two decision makers. A shared mandate. Twenty simulated years. Your tutorial includes a 75-minute simulation and a 45-minute debrief and portfolio clinic.
- Bring a charged phone, tablet or laptop and work with your assigned teammate.
- Use the session code and joining instructions supplied by your facilitator. Each tutorial has its own session.
- Complete the game, record your rationale and stay for the debrief.
Review your group’s journey.
Explore the results and analytics from your tutorial simulation. Choose your group below; if prompted, enter the matching session code.
From mandate to allocation.
Revisit the Portfolio Clinic slides after reviewing your simulation results.
The brief, in one place.
Revisit the client cases, portfolio rules, research framework, reflection and awards. This ten-page programme reference was updated on 25 October 2026. Programme notices on this page take priority if arrangements change.
- Pages 1–4 Know your investor, choose Aina or Ravi, and check the assignment rules.
- Pages 5–7 Review the allocation example and research each fund through the client’s goal.
- Pages 8–10 Evaluate the decision, submit and observe, and understand the awards.
Different goals.
Different ways to win.
Every tutorial group
Three winning teams. Book-voucher value is per team.
- Best Overall Score Highest final overall simulation score
- RM200
- Best Recovery Strongest portfolio recovery
- RM150
- Lowest Maximum Drawdown Smallest maximum portfolio drawdown
- RM100
RM100K challenge
Choose Aina or Ravi. Qualifying portfolios across both cases compete for the return award; it is not a third mandate.
- Best portfolio for Aina Client fit and investment reasoning
- RM150
- Best portfolio for Ravi Client fit and investment reasoning
- RM150
- Highest return among qualifying portfolios Rules followed; allocation defensible for the selected client
- RM150
One award per student or team. For tutorials, allocate Best Overall Score first, then Best Recovery, then Lowest Maximum Drawdown. For the challenge, allocate the qualifying-return award first, then Aina and Ravi; use the next eligible entrant if awards overlap.
How awards are decided
All entries must follow the published rules. Tutorial awards require a completed game and use the final results. Best overall simulation score means the existing overall simulation score, which combines performance, drawdown, diversification and rationale.
Every challenge entry needs a complete client thesis and must comply with the portfolio rules. To qualify for the return award, the allocation must also be defensible for the selected investor’s goal, timeline, risks and liquidity needs. Organisers assess client fit before ranking returns; a completed thesis alone does not establish fit. Two awards recognise client fit and reasoning; one recognises the highest return among qualifying portfolios across both cases. A return award does not prove suitability or a successful three- or 25-year outcome. Aina and Ravi entries are judged within their selected case on goal and horizon fit, fund-role evidence, risk and liquidity reasoning, portfolio construction, and the final reflection. Returns are considered in context rather than used as a substitute for suitability.
Tutorial ties: compare overall score, then lower drawdown, then higher final AUM, excluding the metric already tied. Qualifying-return ties in the challenge use the quality of the submitted case reasoning. Remaining ties are resolved by the organisers using the recorded rationale. No entry can collect two categories.
03 / MANULIFE CAREERS ACCELERATORMeet the people
Meet the people
behind the decisions.
Explore client advisory, investment research and fund management. Ask about the work, skills and entry routes at Manulife HQ on 9 December 2026.
Registering interest is voluntary. It does not confirm a seat or a job application. Visit times, available places and attendance confirmation will follow from the organisers; prize-winner arrangements are handled separately.
Register your interest ↗
MEET YOUR SPEAKER
Kenny Tan
Founder of Money Matters and Unit Trust Executive Adviser with Manulife Investment Management Malaysia. A markets practitioner since 2013, Kenny brings investment decisions into the classroom through simulation and discussion.
A Taylor’s College alumnus, he holds an MEng in Automotive Engineering from the University of Bath, UK.
Your information
Session feedback is anonymous and used to improve the programme. Pre/post learning checks collect your email only to match and administer your responses and measure progress; learning summaries are reported by group, and assessment emails are not used for marketing. Career interest details, including mobile number and age, are used only for Careers Accelerator planning, follow-up and attendance arrangements. These forms do not subscribe you to marketing or affect assessment or prizes. Responses are kept in a dedicated Money Matters Portfolio workbook and secure submission storage, separate from Junior registrations. Contact @my_moneymatters with your submission reference to request a correction or deletion. Please leave names and personal details out of feedback comments. Challenge submissions are handled in the separate challenge workspace under its notice.
This is an educational simulation, not a personal investment recommendation. Illustrative portfolios do not guarantee capital or returns.