Fraud Model Risk Manager, Machine Learning

Affirm; Oshawa; Remote; CAD 162,000 - 212,000; Full time

Job summary

Join a leading company in credit innovation as a Fraud Model Risk Manager. This role offers the opportunity to perform critical validations of machine learning models for fraud detection, ensuring that essential risks are mitigated effectively. With competitive compensation and a remote-first culture, you will thrive in a collaborative environment focused on data-driven solutions.

Benefits

100% subsidized medical coverage

Flexible Spending Wallets for various needs

Competitive vacation and holiday schedules

Employee stock purchase plan

Qualifications

• 7+ years in model development, validation, or data science.
• Deep understanding of machine learning and fraud risk management.
• Experience with large-scale datasets and coding environments.

Responsibilities

• Perform independent challenges of machine learning models.
• Collaborate to remediate model validation findings.
• Implement and maintain the company’s MRM framework.

Skills

Machine learning modeling

Fraud detection

Critical thinking

Problem solving

Communication

Education

BS, MS, or PhD in a quantitative field

Tools

Python

SQL

scikit-learn

pyspark

Job description

Join to apply for the Fraud Model Risk Manager, Machine Learning role at Affirm

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

We’re looking for an intelligent, driven professional to join our Model Risk Management (MRM) team. This team seeks to establish, maintain, and oversee an effective MRM framework to identify, quantify, monitor, mitigate, and report on model risk throughout the company. You will have an outstanding opportunity to work cross-functionally to develop a profound understanding of models that drive critical business decisions and add value to the company by mitigating risks due to ineffective model design or model misuse.

What You’ll Do

• Perform independent challenges of machine learning models used for fraud detection / fraud risk management through thorough validation and ongoing monitoring
• Identify model weaknesses and opportunities for improvement
• Collaborate with model owners to remediate model validation findings
• Partner cross-functionally to implement and maintain the company’s MRM framework
• Partner with Internal Audit, Internal Controls, and Compliance to ensure timely resolution of audit and regulatory requests

What We Look For

• 7+ years of professional experience in related technical areas such as model development, model validation, data science
• Deep and broad knowledge and experience in machine learning modeling, fraud detection, and fraud risk management; experience in credit risk a plus
• Proven ability to work with script languages (e.g., Python) and large-scale datasets (e.g., SQL)
• Extensive experience with machine learning platforms and frameworks (e.g., scikit-learn, pyspark) and cloud-based coding environments and databases
• BS, MS, or PhD in a quantitative field such as Math, Data Science, Computer Science
• Oriented toward detail, curious about data / models / algorithms, skilled at critical thinking and problem solving
• Extraordinary interpersonal and verbal / written communication skills

Pay Grade

Equity Grade

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, employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

CAN base pay range per year : $162,000 - $212,000

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include :

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe it’s on us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of support during the hiring process.

For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider qualified applicants with arrest and conviction records.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Mid-Senior level

Employment type

Full-time

Job function

Finance and Sales

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