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Ping An Insurance Group · 深圳市

# 贷中风险数据分析岗

深圳市 

Listed on Ping An Insurance Group’s official careers site. Posted August 3, 2026. Check that it is still open and apply there.
[Apply on Ping An Insurance Group’s careers site →](https://talent.pingan.com/recruit/position.html?positionId=0AADC41DAD6446ED8C84B65AF25A795B)

[OpenNash Jobs](https://jobs.opennash.com/) / [Ping An Insurance Group](https://jobs.opennash.com/companies/ping-an-insurance/) / 贷中风险数据分析岗

## Job description

岗位职责

### 数据分析与特征挖掘
- 负责从海量数据中提取、筛选和构建风险相关的特征因子。运用统计学、机器学习等方法，挖掘数据中的潜在规律和风险信号。

### 特征工程与策略开发
- 负责特征工程的设计与实现，包括特征生成、特征选择、特征优化等。

### 数据可视化与报告
- 将分析结果以清晰、直观的方式呈现，支持业务决策。 任职资格

### 教育背景
- 本科及以上学历，统计学、数学、计算机科学、金融工程等相关专业优先。

### 工作经验
- 3年以上数据分析、特征工程或风险模型开发经验。有金融、信贷、风控等领域经验者优先。

### 技术能力
- 熟练掌握Python或R，熟悉Pandas、NumPy、Scikit-learn等数据分析和机器学习库。 熟悉SQL，能够独立完成复杂数据查询和数据清洗。熟悉特征工程相关技术，包括特征生成、特征选择、特征变换等。 了解常见的机器学习算法（如逻辑回归、随机森林、XGBoost等）及其在风险分析中的应用。

## At a glance
- Posted by the employer: Aug 3, 2026
- First seen by OpenNash: Oct 20, 2026
- Last checked: Oct 20, 2026
- Listed for: 78 days
- Location: 深圳市[Apply on Ping An Insurance Group’s careers site →](https://talent.pingan.com/recruit/position.html?positionId=0AADC41DAD6446ED8C84B65AF25A795B)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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