Client Advisory Services Flashcards

A client using a robo-advisor is auto-rebalanced out of equities during a market downturn, realizing significant losses. The advisor reviewing the situation should determine whether:

Answer: The client's risk profile was accurately captured and the rebalancing thresholds were appropriate

The root issue is whether the client's risk questionnaire accurately reflected their true tolerance and whether rebalancing rules were calibrated accordingly.

A client's employer offers equity compensation managed through a fintech equity management platform. The advisor's role in this context includes:

Answer: Advising on vesting schedules, tax implications, and concentration risk relative to the overall portfolio

Equity compensation planning integrates vesting, tax events, and concentration risk into the broader financial plan.

Which of the following BEST describes the role of natural language processing (NLP) in client advisory fintech applications?

Answer: NLP allows platforms to analyze client communications and financial documents to surface insights and flag concerns

In advisory fintech, NLP is primarily used to extract meaning from unstructured text—such as emails, documents, and chat—to augment advisor decision-making.

A client wants to donate appreciated securities to charity through a fintech donor-advised fund (DAF) platform. The PRIMARY tax advantage the advisor should explain is:

Answer: The client avoids capital gains tax on appreciation and receives a charitable deduction for fair market value

Donating appreciated securities to a DAF avoids capital gains recognition and allows a charitable deduction for the full fair market value.

A fintech advisor is onboarding a new client through a digital platform. The Know Your Customer (KYC) process in this context is PRIMARILY intended to:

Answer: Verify identity, assess financial situation, and detect potential money laundering or fraud

KYC serves regulatory anti-money laundering (AML) purposes while also building the foundational data needed for suitable financial advice.

A client is evaluating two robo-advisor platforms with similar risk profiles but different fee structures: Platform A charges 0.25% AUM with no trading fees; Platform B charges 0.10% AUM but $4.95 per trade. For a client who rebalances frequently, which platform is likely more cost-effective?

Answer: Platform A, because frequent rebalancing on Platform B will accumulate significant per-trade costs

Frequent rebalancing generates per-trade charges on Platform B that can quickly exceed the higher AUM fee on Platform A.

When a fintech advisory firm uses client data to train its internal AI models, the MOST critical client protection concern is:

Answer: Whether clients have provided informed consent for their data to be used in model training

Using client data for AI training without explicit informed consent raises serious privacy and fiduciary concerns under applicable regulations.