数据解决方案与验证高级专员
查看雇主原标题
Data Solutions & Validation Sr. SpecialistRobinhood · Denver, CO; New York, NY; Westlake, TX · 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 67/100,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
- 稀有职位匹配
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+11
- 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民主化地使用金融。未来二十年,预计将有124万亿美元的资产由年轻一代继承。这是人类历史上最大规模的财富转移。如果你准备好站在这一历史性文化与金融变革的中心,请继续阅读。
岗位职责
• 模型验证与审查执行:对基于规则和机器学习的金融犯罪监控模型、过滤系统和检测逻辑进行独立、严谨的定量和定性分析,重点关注模型设计、算法合理性、数据完整性和变更管理
• 技术审查与修复:在快节奏的金融科技环境中充当技术桥梁,利用数据工程、数据建模和基础设施方面的扎实基础。与软件工程师、数据工程师和数据科学家无缝协作,解读复杂逻辑、评估模型实现、测试数据管道,并支持模型问题的修复。
• 优化与模型调优:执行有效的调优方法和统计分析,持续校准和增强监控模型。参与专注于最大化风险检测能力、同时系统性减少误报量的战略举措,以确保高效且有效的警报审查流程。
• 逻辑与数据完整性保障:开展全面的数据验证和逻辑测试工作,为数据质量奠定坚实基础。确保输入我们合规模型的关键数据管道和输入的完整性、准确性及端到端可靠性,降低系统性风险并维护我们交易监控生态系统的完整性。
• 领域专业知识:作为AML和模型风险方面的知识型专家资源,提供实用的领域见解,并支持跨职能合作伙伴理解模型逻辑、性能和风险权衡。
• 跨职能协作:在工程、产品和合规团队之间建立牢固的工作伙伴关系,确保技术解决方案在概念上合理、有效,并与我们的风险承受能力保持一致。
• 变更与问题管理:对受覆盖的系统、模型和解决方案遵守变更和问题管理政策,确保端到端可追溯性,并为内部审计和外部监管机构维护可辩护的文档。
• AI战略与技术前瞻采用:带来利用AI工具、大型语言模型(LLM)和自动化技术的实操能力和经验,以提高日常生产力、提升交付成果质量并优化团队工作流程。
• 文档与报告:撰写详尽、简洁且可辩护的验证报告、变更与问题管理文档以及执行摘要,清晰解释模型理论、测试逻辑、性能发现以及面向关键利益相关者的可操作建议。
你带来的能力
• 教育背景:定量、技术或金融领域(例如计算机科学、数据分析、统计学或金融)的学士学位或同等学历
• 经验:在金融服务或金融科技行业拥有5年以上AML、金融犯罪或风险管理经验,重点关注模型验证、定量分析或监控系统管理。
• 领域专业知识:在AML基于规则系统和/或机器学习模型的验证、确认、测试或调优方面拥有3年以上直接经验,并具备核心模型风险管理(MRM)原则和治理标准的工作知识。
• 技术与分析技能:精通SQL,并具有使用定量工具或编程语言(例如Python、R)查询大型数据集、执行统计分析和评估模型性能的经验。
• 适应性与沟通能力:出色的口头和书面沟通能力,能够向非技术合作伙伴解释复杂的技术和定量概念,并具备在快节奏环境中管理多个相互竞争优先事项的能力。
福利待遇
• 具有挑战性、高影响力的工作,助力你的职业发展。
• 以绩效为导向的薪酬,对卓越影响设有乘数、奖金计划、股权所有权和401(k)匹配。
• 一流的福利,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%的覆盖。
• 生活方式钱包——高度灵活的福利支出账户,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) $136,000 — $160,000 USD
第2区(Denver, CO;Westlake, TX;Chicago, IL) $120,000 — $141,000 USD
第3区(Lake Mary, FL;Clearwater, FL;Gainesville, FL) $106,000 — $125,000 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,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
• Model Validation & Review Execution: Perform independent, rigorous quantitative and qualitative analyses of rule-based and machine learning financial crimes surveillance models, filtering systems, and detection logic targeting model design, algorithm soundness, data integrity, and change management
• Technical Review & Remediation: Act as a technical bridge within a fast-paced fintech environment by leveraging a solid foundation in data engineering, data modeling, and infrastructure. Collaborate seamlessly with software engineers, data engineers, and data scientists to decipher complex logic, evaluate model implementations, test data pipelines, and support the remediation of model issues.
• Optimization & Model Tuning: Execute effective tuning methodologies and statistical analyses to continuously calibrate and enhance surveillance models. Work on strategic initiatives focused on maximizing risk detection capabilities while systematically reducing false positive volumes to ensure an efficient and effective alert review process.
• Logic & Data Integrity Assurance: Conduct comprehensive data validation and logic testing initiatives to establish a strong foundation of data quality. Ensure the completeness, accuracy, and end-to-end reliability of critical data pipelines and inputs feeding our compliance models, mitigating systemic risks and safeguarding the integrity of our transaction monitoring ecosystem.
• Subject Matter Expertise: Serve as a knowledgeable subject matter resource in AML and Model Risk, providing practical domain insights and supporting cross-functional partners in understanding model logic, performance, and risk trade-offs.
• Cross-Functional Collaboration: Build strong working partnerships across engineering, product, and compliance teams to ensure technical solutions are conceptually sound, effective, and aligned with our risk tolerance.
• Change & Issue Management: Uphold change and issue management policies for covered systems, models, and solutions, ensuring end-to-end traceability and maintaining defensible documentation for internal audit and external regulators.
• AI Strategy & Tech-Forward Adoption: Bring hands-on capabilities and experience leveraging AI tools, Large Language Models (LLMs), and automation techniques to enhance daily productivity, elevate deliverable quality, and optimize team workflows.
• Documentation & Reporting: Author thorough, concise, and defensible validation reports, change and issues management documentation, and executive summaries that clearly explain model theory, testing logic, performance findings, and actionable recommendations for key stakeholders.
What you bring
• Education: Bachelor's Degree or equivalent in a quantitative, technical, or financial field (e.g., Computer Science, Data Analytics, Statistics, or Finance)
• Experience: 5+ years of experience across AML, Financial Crimes, or risk management within the financial services or fintech industry, with a focus on model validation, quantitative analysis, or surveillance system management.
• Domain Expertise: 3+ years of direct experience in the verification, validation, testing, or tuning of AML rule-based systems and/or machine learning models, along with a working knowledge of core Model Risk Management (MRM) principles and governance standards.
• Technical & Analytical Skills: Proficiency in SQL and experience using quantitative tools or programming languages (e.g., Python, R) to query large datasets, perform statistical analyses, and evaluate model performance.
• Adaptability & Communication: Excellent verbal and written communication skills with the ability to explain complex technical and quantitative concepts to non-technical partners, coupled with an ability to manage multiple competing priorities in a fast-paced environment.
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.
• Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
• 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) $136,000 — $160,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $120,000 — $141,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $106,000 — $125,000 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.