Lending

Design and operate reconciliation processes across portfolio management, custodian, and clearing systems. Use when building a daily position, cash, or transaction reconciliation process, investigating discrepancies between internal records and custodian records, diagnosing recurring break patterns from corporate actions or pricing differences, setting tolerance thresholds for position, cash, or market value matching, implementing three-way reconciliation, designing break investigation workflows with aging and escalation, normalizing multi-custodian feeds from Schwab, Fidelity, or Pershing, reconciling cost basis or accrued income, or preparing for examinations on books and records accuracy.

Design and implement next-best-action engines that surface proactive, prioritized recommendations to advisors based on portfolio, life, market, and compliance events. Use when the user asks about building event-driven advisor alerts, designing trigger logic for portfolio drift or large cash movements, prioritizing competing actions across a book of business, routing NBA recommendations to the right team member, measuring NBA acceptance rates, or automating compliance-driven actions like annual review reminders. Also trigger when users mention 'next best action', 'advisor nudges', 'proactive outreach', 'what should I do for this client', 'event-driven triggers', 'action queue', 'client contact gap', 'RMD reminder', or 'advisor productivity tool'.

Execute a complete tax-loss harvesting workflow from candidate identification through post-harvest monitoring. Use when the user asks about finding TLH candidates, gain/loss budgeting, replacement security selection, wash-sale compliance, or harvest execution planning. Also trigger when users mention 'unrealized losses in my portfolio', 'swap ETFs for tax purposes', 'harvest losses before year-end', 'substantially identical security', 'wash-sale window', 'NIIT offset', 'loss carryforward', or ask how much tax they can save by harvesting.

Estimate potential future losses using VaR, Expected Shortfall, Monte Carlo simulation, and stress testing. Use when the user asks about Value-at-Risk, CVaR, Expected Shortfall, scenario analysis, stress testing, or factor-based risk decomposition. Also trigger when users mention 'how much could I lose', 'worst-case scenario', 'tail risk', 'risk budget', 'component VaR', 'marginal VaR', '99% confidence loss', 'Monte Carlo simulation', or ask how to project portfolio risk forward.

Assess investment suitability obligations under FINRA Rules 2111 and 2090 across all three suitability prongs. Use when the user asks about reasonable-basis, customer-specific, or quantitative suitability, product-specific concerns for complex products, leveraged ETFs, variable annuities, or alternatives, household-level suitability and concentration analysis, hold recommendations, or the institutional suitability exemption. Also trigger when users mention 'is this investment suitable', 'suitability questionnaire design', 'complex product due diligence', 'concentrated position in a client account', 'customer refused to provide their risk tolerance', or ask whether a recommendation fits a customer's profile. (For churning, turnover-ratio, and excessive-trading enforcement triggers, use sales-practices.)

Determine when a product, platform, or communication crosses the regulatory line from education into investment advice requiring investment adviser registration. Use when the user asks about the definition of investment advice under Advisers Act Section 202(a)(11), whether a fintech feature or AI chatbot constitutes advice, the publisher's exclusion for newsletters or model portfolios, the broker-dealer solely incidental exclusion, adviser registration thresholds and exemptions, or DOL education vs advice safe harbors. Also trigger when users ask 'do I need to register as an investment adviser', 'does this app give investment advice', 'is this tool just education or advice', 'robo-adviser registration', or 'disclaimer language for financial content'. (For what triggers a 'recommendation' under Reg BI, use reg-bi.)