高级分析师
查看雇主原标题
Senior AnalystAffirm · Remote US · Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidiz
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 60/100,仅依据与该职位一起存储的证据计算。
- 新的雇主官方职位
- 远程职位
- 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
- 远程职位+8
- 稀有职位+11
- 公司来源健康度+8
该职位未包含:已披露薪资、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
机器翻译在Affirm,我们存在的意义在于那些重要的时刻——为人们提供清晰、可预测的分期付款方式,没有隐藏费用,没有意外,在最重要的事情上无需妥协。
关于风险与分析团队
风险与分析(R&A)团队做出指导Affirm业务战略的关键决策。我们与机器学习、产品、工程、资本市场和商业团队合作,通过优化审批、转化、损失和盈利能力,负责任地推动Affirm增长。
我们贯穿整个客户和商户生命周期,应对各种挑战,从优化结账转化率和降低欺诈风险,到构建可扩展的数据基础并支持国际增长。我们分析业绩不仅仅是为了报告业绩,而是为了通过构建工具、可扩展的数据基础设施和分析框架,确定在哪里投入资源以实现最大影响。
我们通过简化工作流程和培养学习与文档文化,改善Affirm整体的分析体验。通过掌控整个分析生命周期,从最初的问题到最终的商业决策,我们将复杂的数据和系统转化为清晰、可执行的信号,确保Affirm高效且智能地增长。
一个职位,多个团队
我们通过这一单一职位发布,在Affirm的风险与分析组织中招聘多个高级分析师职位。候选人不是针对某个特定团队进行面试,而是经历一个共享的面试流程,旨在评估我们在R&A中寻找的核心技能。
如果入选,我们将与您合作,根据您的兴趣、经验、优势和当前业务需求,确定最佳的团队匹配。在流程推进过程中,您将有机会进一步了解我们的团队并分享您的偏好。
可能的团队安排包括:
• 销售点(POS):优化商户和结账表现,以改善整个购买漏斗的转化率、审批率和单位经济效益。
• 直接面向消费者(DTC)/卡:推动Affirm应用、网页和卡体验的参与度、重复使用和生命周期健康。
• 欺诈:在保持无摩擦用户体验的同时,预防和减少客户旅程中的欺诈损失。
• 核心分析:构建定量研究、绩效监控和可扩展的数据基础,以支持快速、经济合理的决策。
• 服务:通过分析还款行为、催收策略和运营效率,提升放款后的客户体验。
• 国际扩张:构建必要的衡量和决策基础,以可持续地在新的全球市场推出和扩展Affirm。
岗位职责
作为Affirm风险与分析组织的高级分析师,您将加入多个分析团队之一,在客户和商户生命周期中开展工作。虽然您处理的具体问题将取决于您最终的团队安排,但所有高级分析师职位都有一个共同基础:端到端地负责复杂的分析问题,将数据转化为业务战略,并影响技术和非技术团队的决策。
您将自主运营,负责整个分析生命周期,从最初的问题到最终的商业决策。您具备卓越的分析严谨性、深厚的领域专业知识,以及将复杂的监管、经济和机器学习洞察转化为可执行业务战略的能力。您在模糊环境中茁壮成长,在增长与韧性之间取得平衡,并能够在战略和执行层面运作,以影响整个组织的利益相关者。
• 优化端到端战略:利用高级数据分析独立得出洞察,制定并优化跨产品和地区的业务、风险或增长战略。
• 管理宏观与市场趋势:监控组合表现和外生宏观经济趋势,主动调整分析和运营策略,以降低风险并平衡增长。
• 建模与能力建设:与工程和机器学习团队深度合作,设计、构建和解读可扩展的风险、欺诈或增长模型的绩效指标。
• 跨职能领导:与产品、法律和合规团队紧密合作,解读不断变化的监管和市场要求,并将其直接转化为分析政策和产品设计建议。
• 监督框架与发布:监督分析框架的开发和执行。推动跨职能讨论,确保新产品发布和市场进入符合风险偏好、运营能力和当地法规。
• 外部与战略协调:与外部利益相关者(包括商户、供应商和合作伙伴)互动,以协调做法、确保合规并加强战略关系。
• AI利用与指导:构建可重复的AI辅助工作流程,使其在团队分析中产生累积效应,同时指导初级分析师的技术技能和领域细节。
我们寻找什么
• 2–5年在消费信贷、信贷或金融科技行业从事分析驱动型职位的成熟经验,特别是利用高级分析来制定和优化业务战略。
• 数据科学、计算机科学、工程、经济学或相关定量领域的学位。
• 精通SQL、Python或其他脚本语言。
• 在数据挖掘、数据可视化和统计建模方面拥有深厚专业知识,并具有将机器学习技术应用于业务或风险管理问题的经验。
• 具有领导跨职能举措的成熟经验,能够连接产品、法律、合规和工程,使分析战略与业务目标保持一致。
• 对消费信贷法规、区域市场动态以及影响政策和增长的更广泛经济格局有深入理解。
• 展现出将复杂的监管和经济洞察转化为可执行战略的能力。
• 卓越的沟通能力,能够影响技术和非技术职能的高级利益相关者。
福利待遇
我们的福利体现了我们对关怀、透明和灵活性的承诺。以下是一些亮点:
• 免费健康保险:我们为员工及其家属支付100%的保费。
• 支出津贴:每月津贴支持您的科技设备配置,并让您能够选择适合自己的健康和保健选项。
• 充电休假:灵活休假和慷慨的节假日安排帮助您在需要时休息。
• 拥有您所构建成果的一部分:我们的员工购股计划(ESPP)让您能够以折扣价购买Affirm股票。
我们致力于提供包容性的面试流程,包括为残障候选人提供便利。如果您需要支持,我们很乐意提供帮助。
对于位于旧金山或洛杉矶的职位:根据法律要求,Affirm会考虑有逮捕和定罪记录的合格申请人。
点击“提交申请”,即表示您确认已阅读Affirm的全球候选人隐私声明,并同意按其中所述使用您的个人信息。
薪资
股权等级 - 6
新加入Affirm的员工通常从薪酬区间的起点开始。Affirm专注于提供简单透明的薪酬结构,该结构基于多种因素,包括地点、经验和工作相关技能。
基本工资是总薪酬方案的一部分,总薪酬方案可能包括用于健康、保健和科技支出的月度津贴,以及福利(包括为您和您的家属提供100%补贴的医疗、牙科和视力保险)。此外,员工可能有资格获得Affirm Holdings, Inc.(母公司)提供的股权奖励。
美国基本工资区间(CA、WA、NY、NJ、CT)每年:$145,000 - $205,000 美国基本工资区间(美国其他所有州)每年:$128,000 - $188,000
#LI-Remote 远程优先,内置灵活性 Affirm很自豪是一家远程优先公司。大多数职位几乎可以在雇佣国家内的任何地方完成。部分职位可能偶尔需要在Affirm办公室现场工作,少数职位因工作性质需要在办公室工作。所有新员工都将受邀参加现场入职体验。
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
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
About the Risk & Analytics Team
The Risk & Analytics (R&A) team makes crucial decisions that direct Affirm’s business strategy. We partner with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to grow Affirm responsibly by optimizing approval, conversion, losses, and profitability.
Operating across the entire customer and merchant lifecycle, we tackle a diverse array of challenges, from optimizing checkout conversion and mitigating fraud risk to building scalable data foundations and enabling international growth. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools, scalable data infrastructure, and analytical frameworks.
We improve the analytics experience across Affirm by streamlining workflows and fostering a culture of learning and documentation. By taking ownership of the entire analytical lifecycle, from initial question to final business decision, we turn complex data and systems into clear, actionable signals that ensure Affirm grows efficiently and intelligently.
One Role, Multiple Teams
We are hiring multiple Senior Analyst roles across Affirm's Risk & Analytics organization through this single job posting. Rather than interviewing for one specific team, candidates will go through a shared interview process designed to assess the core skills we look for across R&A.
If selected, we will work with you to determine the best team match based on your interests, experience, strengths, and current business needs. You will have the opportunity to learn more about our teams and share your preferences as you move through the process.
Potential team placements include:
• Point of Sale (POS): Optimize merchant and checkout performance to improve conversion, approvals, and unit economics across the purchase funnel.
• Direct to Consumer (DTC) / Card: Drive engagement, repeat usage, and lifecycle health across Affirm's app, web, and card experiences.
• Fraud: Prevent and reduce fraud losses across the customer journey while maintaining a frictionless user experience.
• Core Analytics: Build the quantitative research, performance monitoring, and scalable data foundations that enable fast, economically sound decisions.
• Servicing: Enhance the post-origination customer experience by analyzing repayment behavior, collections strategies, and operational efficiency.
• International Expansion: Build the measurement and decision foundations needed to sustainably launch and scale Affirm in new global markets.
岗位职责
As a Senior Analyst in Affirm's Risk & Analytics organization, you will join one of several analytical teams working across the customer and merchant lifecycle. While the specific problems you tackle will depend on your eventual team placement, all Senior Analyst roles share a common foundation: owning complex analytical problems end to end, translating data into business strategy, and influencing decisions across technical and non-technical teams.
You will operate with autonomy to own the entire analytical lifecycle, from initial question to final business decision. You bring exceptional analytical rigor, deep domain expertise, and the ability to translate complex regulatory, economic, and machine learning insights into actionable business strategies. You thrive in ambiguity, balance growth with resilience, and are comfortable operating at both strategic and execution levels to influence stakeholders across the organization.
• Optimize End-to-End Strategy: Leverage advanced data analytics to independently derive insights, develop, and optimize business, risk, or growth strategies across products and geographies.
• Manage Macro & Market Trends: Monitor portfolio performance and exogenous macroeconomic trends, proactively adjusting analytical and operational strategies to mitigate risk and balance growth.
• Model & Capability Building: Partner deeply with Engineering and Machine Learning teams to design, build, and interpret performance metrics for scalable risk, fraud, or growth models.
• Cross-Functional Leadership: Collaborate closely with Product, Legal, and Compliance teams to interpret evolving regulatory and market requirements, translating them directly into analytical policy and product design recommendations.
• Oversee Frameworks & Launches: Oversee the development and execution of analytical frameworks. Drive cross-functional discussions to ensure new product launches and market entries align with risk appetite, operational capabilities, and local regulations.
• External & Strategic Alignment: Engage with external stakeholders, including merchants, vendors, and partners, to align practices, ensure compliance, and strengthen strategic relationships.
• AI Leverage & Mentorship: Build repeatable AI-assisted workflows that compound across the team's analyses, while mentoring junior analysts on technical craft and domain nuances.
What We Look For
• 2–5 years of proven experience in an analytically driven role within the consumer lending, credit, or fintech industry, specifically leveraging advanced analytics to develop and optimize business strategies.
• Degree in Data Science, Computer Science, Engineering, Economics, or a related quantitative field.
• Advanced proficiency in SQL, Python, or other scripting languages.
• Deep expertise in data mining, data visualization, and statistical modeling, with experience applying machine learning techniques to business or risk management problems.
• Proven experience leading cross-functional initiatives that bridge Product, Legal, Compliance, and Engineering to align analytical strategies with business objectives.
• Strong understanding of consumer lending regulations, regional market dynamics, and the broader economic landscape influencing policy and growth.
• Demonstrated ability to translate complex regulatory and economic insights into actionable strategies.
• Exceptional communication skills with the ability to influence senior stakeholders across technical and non-technical functions.
福利待遇
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
• Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
• Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
• Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
• Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.
薪资
Equity Grade - 6
Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
USA base pay range (CA, WA, NY, NJ, CT) per year: $145,000 - $205,000 USA base pay range (all other U.S. states) per year: $128,000 - $188,000
#LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.