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存款欺诈风险分析主管

雇主

Affirm

地点

远程 · Remote · 美国

待遇

$USD 164,000 - USD 245,000 / yearly

工作模式

远程

截止日期

1月2日

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岗位摘要

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. The Fraud team at Affirm Bank works cross-functionally with Machine Learning, Product, Engineering, Operations to combat fraudulent activities to foster a safe platform. This…

岗位职责

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.
The Fraud team at Affirm Bank works cross-functionally with Machine Learning, Product, Engineering, Operations to combat fraudulent activities to foster a safe platform.
This role requires abundant cross-functional partnership. This individual will be the representative of the Credit Risk org, leading the charge on refining our Identity Verification and Fraud processes as well as our Application flow. Additionally, this role will work closely with the Product and Engineering teams to improve our Fraud solution.
Come join us in our mission to change consumer finance through better technology, lower costs, and increased transparency while providing the best customer experience.
What You'll Do
This role will take charge of owning fraud performance for depository products, including monitoring fraud losses, approval rates, false positives, customer friction, and other key risk metrics
Data Pipeline, Analytics & Monitoring
Build and maintain scalable data models and transformation pipelines, using tools (such as DBT) to standardize depository product, transaction, customer, fraud, and operational data.
Define trusted fraud performance metrics and analytical datasets, including fraud loss rates, approval and decline rates, false-positive rates, customer friction, and operational efficiency.
Develop recurring dashboards, scorecards, and monitoring frameworks to provide clear visibility into fraud performance, portfolio health, and emerging risks.
Conduct deep-dive analyses to diagnose fraud losses, control gaps, false positives, portfolio shifts, and unexpected performance changes, translating findings into actionable recommendations.
Fraud Strategy Building & Optimization
Develop and optimize fraud rules, policies, thresholds, models, and decision strategies that balance loss prevention, customer experience, operational capacity, and product growth.
Evaluate new data sources and signals to improve detection of identity risk, account takeover, device risk, transaction risk, and other fraud typologies relevant to depository products.
Lead testing and performance measurement of fraud strategy changes, including rule launches, model updates, policy changes, and new product controls, with clear pre- and post-implementation evaluation.
Partner cross-functionally with Product, Engineering, Machine Learning, Data Engineering, Fraud Operations, and Risk to improve fraud strategies, strengthen operational feedback loops, and support new product launches.
What We Look For
EXPERIENCE - 7+ years’ of Analytics experience
PRODUCT KNOWLEDGE - Passion to understand how Affirm product works and a curious mindset to help change and make it more effective
TECHNICAL SKILLS - Fluent in SQL and Python
PEOPLE SKILLS - A team player with ability to collaborate and influence across many different teams in the organization
COMMUNICATION - Ability to communicate findings and recommendations clearly to both technical and non-technical audiences
EXECUTION - Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity
MULTI-TASKING - Strong time management skills and the ability to manage multiple projects and priorities
RISK KNOWLEDGE - Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with fraud strategy development
We also encourage you to read our Chief Risk Officer’s views on what makes Credit Risk Managers influential and on a Modern Risk Management System.
Base Pay Grade - M
Equity Grade - USA 8
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 equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT): $185,000 - $245,000
USA base pay range (all other U.S. states): $164,000 - $224,000
Please note that visa sponsorship is not available for this position.
#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.
Benefits designed for you
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.

申请条件

- 具备跨职能合作经验,能够与机器学习、产品、工程和运营团队紧密协作
- 能够代表信用风险组织,主导身份验证和欺诈流程以及申请流程的优化
- 具备与产品和工程团队合作改进欺诈解决方案的能力
- 拥有存款产品欺诈绩效管理经验,包括监控欺诈损失、批准率、误报率、客户摩擦及其他关键风险指标
- 能够构建和维护可扩展的数据模型及转换管道,熟悉DBT等工具
- 具备标准化存款产品、交易、客户、欺诈及运营数据的能力
- 能够定义可信的欺诈绩效指标和分析数据集,包括欺诈损失率、批准和拒绝率、误报率、客户摩擦和运营效率
- 能够开发定期仪表板、评分卡和监控框架,提供欺诈绩效、投资组合健康和新兴风险的清晰可见性
- 具备深入分析能力,能够诊断欺诈损失、控制缺口、误报、投资组合变化及意外绩效变动,并转化为可操作建议
- 能够开发和优化欺诈规则、政策、阈值、模型和决策策略,平衡损失预防与其他业务目标
- 具备数据分析和建模相关经验
- 具备欺诈或信用风险领域相关工作经验
- 具备较强的沟通和利益相关者管理能力

雇主简介

Affirm is a financial technology company that provides buy now, pay later services, allowing consumers to make purchases with flexible payment options without hidden fees or compounding interest.

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