Security

Security App Wealth Advisor

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AI-powered wealth advisor for bank mobile apps offering personalized product matching, investment consultation, and compliance-compliant customer interaction.

What it does

Bank APP Wealth Advisor Assistant / 银行APP财富顾问助手 **⚠️ SECURITY NOTICE** - **Type:** Educational reference / analytical framework ONLY - **No executable code, scripts, or binaries included** - **No persistent storage, network calls, or background execution** - **No credential collection, PII processi…

The skill document

Bank APP Wealth Advisor Assistant / 银行APP财富顾问助手

⚠️ SECURITY NOTICE

  • Type: Educational reference / analytical framework ONLY
  • No executable code, scripts, or binaries included
  • No persistent storage, network calls, or background execution
  • No credential collection, PII processing, or system access
  • All outputs require human review before real-world application
  • NOT financial, legal, or insurance advice

银行监管最新动态 [2026-05-25更新]

动态类型内容摘要影响范围
银行监管2026年Q1理财信息披露'三清'推进,财富管理话术需更新投顾话术和策略模板需适配市场新环境
银行监管净息差压力下,银行理财产品收益率下行,投顾建议需调整投顾话术和策略模板需适配市场新环境
银行监管2026年A股量化资金占比30%-40%,财富管理策略需关注量化冲击投顾话术和策略模板需适配市场新环境

数据截止: 2026-05-25 | 来源:国家金融监督管理总局、安永Q1分析、行业公开信息 声明: 以上动态供参考,具体以官方最新发布为准

English: AI-powered wealth advisory assistant for bank mobile applications — provides product recommendations, investment consultation, and compliance-compliant customer interaction. Built for digital banking teams.

中文: 银行APP财富顾问助手——为手机银行提供产品推荐、投资咨询、合规客户交互。适用:数字银行团队、财富管理师。


Industry Pain Points / 行业痛点

Pain Point / 痛点Impact / 影响Solution / 本Skill解决方案
APP用户粘性低用户用完即走,无深度服务AI投顾提升个性化体验
产品匹配效率低人工推荐成本高智能产品匹配引擎
合规要求严监管禁止虚假宣传合规话术自动检查
服务覆盖有限人工客服无法7x24AI24小时在线解答
交叉销售难客户画像不完整多维度客户分析

Trigger Keywords / 触发关键词

English Triggers: bank APP, wealth advisor, digital banking, mobile banking, AI advisor, product recommendation, financial planning, customer service

中文触发词(优先): 银行APP / 财富顾问 / 智能投顾 / 手机银行 / 数字银行 / 产品推荐 / 理财咨询 / 基金销售 / 资产配置 / 客户分层 / 交叉销售 / 合规话术 / 智能客服 / 风险测评 / 适当性匹配


Core Capabilities / 核心能力

1. Product Matching Engine / 产品匹配引擎

class WealthAdvisor:
    """智能财富顾问"""
    
    def match_products(self, customer_profile: dict, 
                      available_products: list) -> list:
        """
        智能产品匹配
        Args:
            customer_profile: 客户画像
            available_products: 可选产品列表
        """
        # 风险匹配
        risk_level_map = {
            "保守型": ["R1", "R2"],
            "稳健型": ["R1", "R2", "R3"],
            "平衡型": ["R2", "R3", "R4"],
            "成长型": ["R3", "R4", "R5"],
            "激进型": ["R4", "R5"]
        }
        
        allowed_risk = risk_level_map.get(
            customer_profile.get("risk_preference", "稳健型"), ["R2", "R3"]
        )
        
        # 收益匹配
        expected_return = customer_profile.get("expected_return", 0.05)
        
        matched = []
        for product in available_products:
            # 风险等级过滤
            if product["risk_level"] not in allowed_risk:
                continue
            
            # 收益率匹配
            if product["expected_return"] >= expected_return - 0.02:
                score = self._calculate_match_score(
                    customer_profile, product
                )
                matched.append({
                    **product,
                    "match_score": score,
                    "recommendation_reason": self._generate_reason(
                        customer_profile, product
                    )
                })
        
        return sorted(matched, key=lambda x: x["match_score"], reverse=True)
    
    def _calculate_match_score(self, customer: dict, 
                               product: dict) -> float:
        """计算匹配度评分"""
        score = 100
        
        # 期限匹配
        preferred_term = customer.get("preferred_term", 365)
        product_term = product.get("term_days", 365)
        term_diff = abs(preferred_term - product_term) / 365
        score -= term_diff * 10
        
        # 起购金额
        if product.get("min_amount", 0) > customer.get("available_fund", 0):
            score -= 30
        
        # 收益率
        expected = customer.get("expected_return", 0.05)
        actual = product.get("expected_return", 0)
        if actual >= expected:
            score += 10
        else:
            score -= abs(actual - expected) * 100
        
        return max(0, min(100, score))

2. Investment Consultation Scripts / 投资咨询话术

INVESTMENT_SCRIPTS = {
    "基金购买引导": {
        "场景": "客户咨询基金",
        "话术": """
        "您好!根据您的风险测评结果【{risk_level}】,
        我推荐您关注【{fund_name}】基金。
        
        这只基金的特点:
        • 基金类型:{fund_type}
        • 风险等级:{risk_level}
        • 近一年收益:{return_1y}%
        • 基金经理:{manager}(从业{years}年)
        
        适合您的理由:
        1. {reason_1}
        2. {reason_2}
        3. {reason_3}
        
        【风险提示】基金有风险,投资需谨慎。过往业绩不代表未来表现。
        请您根据自身情况谨慎决策。"
        """,
        "合规检查": [
            "不得承诺保本",
            "必须说明基金有风险",
            "过往业绩仅供参考"
        ]
    },
    
    "资产配置建议": {
        "场景": "客户有大额资金",
        "话术": """
        "张先生/女士,您好!
        
        根据您目前的资产状况,我们建议做一个科学的资产配置:
        
        【保守配置】40% → 银行存款+国债
        特点:安全稳健,适合保本需求
        
        【稳健配置】30% → 银行理财+债券基金
        特点:收益稳健,波动较小
        
        【成长配置】20% → 混合基金+股票基金
        特点:追求较高收益,承担一定风险
        
        【流动性】10% → 货币基金
        特点:随存随取,应急备用
        
        这个配置方案可以帮助您分散风险,
        同时实现资产的稳健增值。"
        """
    }
}

3. Compliance Check / 合规检查

## APP投顾合规检查清单

### 必须包含的要素
| 检查项 | 要求 |
|-------|------|
| 风险提示 | 必须出现"投资有风险" |
| 收益说明 | 不得承诺保本保收益 |
| 历史业绩 | 必须注明"仅供参考" |
| 适当性 | 必须匹配客户风险等级 |
| 产品揭示 | 必须包含产品说明书链接 |

### 禁止用语
| 禁止 | 替代 |
|-----|------|
| "保本" | "相对稳健" |
| "稳赚不赔" | "追求稳健收益" |
| "最低收益X%" | "历史平均收益X%" |
| "100%安全" | "风险可控" |

Disclaimer

This skill provides wealth advisory tools for educational purposes. All recommendations must comply with applicable regulations and be reviewed by qualified financial advisors.

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