资深数据科学家,机器学习(信用风险)
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Staff Data Scientist, ML (Credit Risk)Robinhood · Menlo Park, CA; New York, NY; Washington, DC · From 401
职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。
为什么值得关注?
发现指数 57/100,仅依据与该职位一起存储的证据计算。
- 新的雇主官方职位
- 已披露薪资
分数构成
- 时效性 (随职位发布时间变化)+18
- 雇主官方来源+15
- 已披露薪资+15
- 稀有职位+1
- 公司来源健康度+8
该职位未包含:远程职位、提及签证担保、提及搬迁、未出现在监控的职位板上。
这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外,我们不做任何推测。
职位描述
机器翻译加入我们,共同构建金融的未来。
我们的使命是让所有人都能平等地享受金融服务。未来二十年,预计将有124万亿美元的资产由年轻一代继承。这是人类历史上规模最大的财富转移。如果你准备好站在这场历史性的文化与金融变革的中心,请继续阅读。
岗位职责
• 为客户获取(信用审批和信用额度分配)和客户管理构建信用风险模型
• 与信用分析师和产品经理合作,理解业务问题并提供合适的模型来解决这些问题
• 利用传统和非传统数据源创建丰富的数据集。开发创新工具以生成强大的特征,提升模型表现
• 在生产环境中部署、维护和监控模型
• 与信用、产品和工程部门的高级利益相关者沟通,传达关键结果和发现
你的背景
• 你拥有7年以上数据科学和信用建模经验
• 你精通SQL和Python,用于数据分析和建模
• 你有设计实验并解读结果以指导产品决策的经验
• 你具备传统信用数据的领域知识和专业能力。有非传统信用数据(如现金流)经验者优先
• 你能与技术和非技术合作伙伴清晰沟通
福利待遇
• 具有挑战性、高影响力的工作,助力你的职业发展
• 以绩效驱动的薪酬,为卓越影响力提供倍增奖励、奖金计划、股权所有权和401(k)匹配
• 顶级福利,为你的工作提供支持,包括员工100%由公司支付的健康保险,受抚养人90%的保障
• 每位员工都可以使用市场上最好的AI工具,并持续进行AI技能培养,无论是否技术岗位
• 生活方式钱包——高度灵活的福利支出账户,可用于健康、学习等
• 雇主支付的人寿与残疾保险、生育福利和心理健康福利
• 充电休息时间,包括公司假期、带薪休假、病假、育儿假等!
• 卓越的办公体验,提供餐饮、活动和舒适的工作空间。
除了下方列出的基本薪资范围外,该职位还可获得奖金机会 + 股权 + 福利。
成功申请者的基本薪资将取决于多种与工作相关的因素,其中可能包括教育、培训、经验、地点、业务需求或市场需求。该职位的预期基本薪资范围基于工作执行地点,并与3个薪酬区之一对应。对于未列出的其他地点,可在面试过程中与招聘人员讨论薪酬。
薪资
第1区(Menlo Park, CA;New York, NY;Bellevue, WA;Washington, DC) $217,000 — $255,000 USD
第2区(Denver, CO;Westlake, TX;Chicago, IL) $191,000 — $224,000 USD
第3区(Lake Mary, FL;Clearwater, FL;Gainesville, FL) $170,000 — $199,000 USD
点击此处了解更多关于我们Total Rewards的信息,这些内容因地区和实体而异。
如果我们的使命让你充满动力,并且你准备好构建金融的未来,我们期待看到你的申请。
Robinhood为所有申请人提供平等机会,可应要求提供合理便利,并遵守适用的平等就业和隐私法律。包容性已融入我们的招聘和工作方式——欢迎不同的背景、观点和经验,让每个人都能发挥最佳水平。请查看你申请所在国家的隐私政策。
以上内容由机器翻译自动生成,可能存在错误;投递前请以雇主原文为准。
查看雇主原文
职位描述
Join us in building the future of finance.
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
岗位职责
• Build credit risk models for customer acquisitions (credit approval and credit limit assignment) and customer management
• Collaborate with credit analysts and product managers to understand the business problem and deliver appropriate models to solve them
• Create rich datasets leveraging both traditional and non-traditional data sources. Work on innovative tools to generate powerful features that boost models
• Deploy, maintain and monitor models in production
• Communicate with senior stakeholders in credit, product and engineering to deliver key results and findings
What you bring
• You have 7+ years of experience in data science and credit modeling
• You have strong proficiency in SQL and Python for data analysis and modeling
• You have experience designing experiments and interpreting results to guide product decisions
• You have domain knowledge and expertise in traditional credit data. Experience with non traditional credit data (such as cash flow) is a plus
• You communicate clearly with both technical and non-technical partners
福利待遇
• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.
In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
薪资
Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $217,000 — $255,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $191,000 — $224,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $170,000 — $199,000 USD
Click here to learn more about our Total Rewards, which vary by region and entity.
If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.