Credit Risk Lead
位于巴西圣保罗 （远程）我们的客户是一个快速增长的金融科技公司，在拉丁美洲各地重新定义了中小企业获得财务解决方案。他们建立了一个允许 SMB 无摩擦发展的金融基础设施，结合数据，技术和深度信用专业知识。他们正在寻找信贷风险领导者来推动信贷决策并优化投资组合绩效。这个人将设计预测模型，加强信贷政策，影响整个业务中的战略风险决定。关键责任：·分析大数据集以确定趋势，相关性和风险驱动因素。· 开发和增强机器学习模型来评估和减轻信用风险。· 与金融和风险团队合作监测投资组合健康并预测未来的风险。• 领导实验和 A/B 测试以评估新功能和政策的影响。· 建立明确的仪表板和报告，以便向领导者传达见解。·确定提高运营效率和决策的流程改进。要求：· 对风险或信贷分析 ML 模型的研发和实施有丰富经验。· Python 或 R 和 SQL 中进行大规模数据操纵的先进技能。· 数据统计，数据解释和 A/ B 测试方面的专业知识。· 优秀的沟通和协作技能在动态环境中。最喜欢：· 在贷款，金融科技或信用风险管理框架中的背景。·熟悉图表，Power BI 或 Looker 等可视化工具。加入一个塑造数据，技术和目的相遇的拉丁美洲金融科技未来团队。最初发布于喜马拉雅山
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Location: São Paulo, Brazil (Remote)
Our client is a fast-growing fintech redefining access to financial solutions for small and medium businesses across Latin America. They build the financial infrastructure that allows SMBs to grow without friction combining data, technology, and deep credit expertise.
They are looking for a Credit Risk Lead to drive credit decisioning and optimize portfolio performance. This person will design predictive models, strengthen credit policy, and influence strategic risk decisions across the business.
Key Responsibilities:
- Analyze large datasets to identify trends, correlations, and risk drivers.
- Develop and enhance machine learning models to assess and mitigate credit risk.
- Collaborate with finance and risk teams to monitor portfolio health and forecast future risk.
- Lead experimentation and A/B testing to evaluate the impact of new features and policies.
- Build clear dashboards and reports to communicate insights to leadership.
- Identify process improvements that enhance operational efficiency and decision-making.
Requirements:
- Strong experience developing and implementing ML models for risk or credit analysis.
- Advanced skills in Python or R, and SQL for large-scale data manipulation.
- Expertise in statistics, data interpretation, and A/B testing.
- Excellent communication and collaboration skills in dynamic environments.
Preferred:
- Background in lending, fintech, or credit risk management frameworks.
- Familiarity with visualization tools such as Tableau, Power BI, or Looker.
Join a team shaping the future of fintech in Latin America where data, technology, and purpose meet.
Originally posted on Himalayas