This role pays more than
72%
of similar roles. Most pay
$157,175–$222,000
— the shaded band above.
At the midpoint, this role pays about
$215k
versus about
$190k
for comparable roles.
Based on 239 similar postings.
Employer
About Affirm
Affirm is a buy-now, pay-later (BNPL) financial technology company that offers point-of-sale installment loans to consumers, allowing them to split purchases into fixed monthly payments with transparent terms. Industry: Financial Technology & Consumer Lending
Affirm currently has
60 open roles
on FindRole.
Listed pay typically runs
$195,000–$255,000
across 60 roles with salary data.
The Financial Model Risk Management Lead joins the Model Risk Management team as a lead validator for finance and analytics models. Serving as the second line of defense, this individual performs independent challenges of quantitative models including ALM, allowance/loss forecasting, loan transition models, corporate financial planning, and decision-support analytics. The role involves leading end-to-end validation engagements on high-complexity models, identifying weaknesses, and collaborating with stakeholders to remediate findings and strengthen governance. Candidates must possess expertise in corporate finance, treasury, and statistical modeling techniques like time-series forecasting or machine learning. Required technical skills include proficiency in Python and SQL for analyzing large datasets, along with experience reviewing models built in Excel and Databricks. The role addresses the critical business problem of identifying, quantifying, and mitigating model risk to ensure robust financial reporting and regulatory compliance.
Perform independent challenges of financial and analytics quantitative models through rigorous validation and monitoring.
Lead end-to-end validation engagements for high-complexity and high-criticality models.
Identify model weaknesses and limitations while communicating findings to both technical and non-technical stakeholders.
Work with model owners across various departments to remediate findings and strengthen governance.
Implement and maintain the company's Model Risk Management framework in partnership with cross-functional teams.
Resolve audit, regulatory, and examiner requests by partnering with Internal Audit, Accounting, and Compliance.
What we're looking for
4–6 years of professional experience in model development, validation, quantitative finance, or data analytics with exposure to financial/analytics models.
Deep knowledge of corporate finance, treasury, ALM, and actuarial or statistical forecasting.
Proficiency in scripting languages like Python and large-scale datasets using SQL.
Experience with statistical modeling, time-series forecasting, simulation, and machine learning for finance and analytics use cases.
BS, MS, or PhD in a quantitative field such as Finance, Engineering, Mathematics, Statistics, Economics, Computer Science, or Data Science.
Strong interpersonal and communication skills to influence stakeholders and present findings to senior leadership.
Experience in credit underwriting or credit risk management (preferred).
AI/ML
LLM
Generative AI
Python
R
Neural Networks
Regression
Reinforcement Learning
Recommender Systems
Transformers
Prompt Engineering
RAG
Agentic AI
Statistics
Econometrics
Model Validation
Risk Management
Model Governance