Affirm

1 month ago

Analytics Lead, Full Stack (Credit Analytics)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Lead analytics and risk-focused initiatives for Affirm’s credit portfolio across products and geographies. Partner with Engineering to build scalable risk models, monitor portfolio performance and macro trends, and translate regulatory requirements into credit policy and product design. Drive cross-functional collaboration with Product, Legal, Compliance, and external partners in a remote-first environment.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Manager level

Key Responsibilities

•Lead analytics and risk-focused initiatives for credit portfolio optimization across products and geographies.
•Partner with Engineering to design and build scalable risk models and credit risk capabilities.
•Monitor portfolio performance and macroeconomic trends that impact loan outcomes; adjust underwriting and marketing strategies to mitigate risk.
•Collaborate with Product, Legal, and Compliance to translate evolving regulatory and market requirements into credit policy, underwriting, and product design recommendations.
•Engage with merchants, vendors, and regulatory bodies to align credit risk practices and strengthen strategic partnerships.

Pay and Benefits

Salary: USD 180,000 - 230,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceFlexible SpendingTime OffEquity

Key Requirements

•Degree in Data Science, Computer Science, Engineering, Economics, or a related field, and 4+ years of experience (or equivalent senior-level experience)
•Experience setting credit strategy for de novo products using Sandbox data, retrospective studies or archives
•Experience in high-line unsecured lending, especially in the home improvement vertical
•SQL, Python, or other scripting languages
•Data mining, data visualisation, and statistical modeling

Experience:4+ yearsFintechCreditLending

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solvingInfluencingStakeholder management

Languages:English

Tech Stack:SQLPythonMachine learningData visualizationStatistical modeling

Company Brief

Affirm

Provides point-of-sale lending and buy-now-pay-later (BNPL) solutions for consumers and merchants, enabling installment payments, consumer financing, and embedded financial services through APIs and partnerships with retailers and platforms.

Industry: Lending

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2012

Website LinkedIn

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Affirm

1 month ago

Analytics Lead, Full Stack (Credit Analytics)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Manager level

Key Responsibilities

•Lead analytics and risk-focused initiatives for credit portfolio optimization across products and geographies.
•Partner with Engineering to design and build scalable risk models and credit risk capabilities.
•Monitor portfolio performance and macroeconomic trends that impact loan outcomes; adjust underwriting and marketing strategies to mitigate risk.
•Collaborate with Product, Legal, and Compliance to translate evolving regulatory and market requirements into credit policy, underwriting, and product design recommendations.
•Engage with merchants, vendors, and regulatory bodies to align credit risk practices and strengthen strategic partnerships.

Pay and Benefits

Salary: USD 180,000 - 230,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceFlexible SpendingTime OffEquity

Key Requirements

•Degree in Data Science, Computer Science, Engineering, Economics, or a related field, and 4+ years of experience (or equivalent senior-level experience)
•Experience setting credit strategy for de novo products using Sandbox data, retrospective studies or archives
•Experience in high-line unsecured lending, especially in the home improvement vertical
•SQL, Python, or other scripting languages
•Data mining, data visualisation, and statistical modeling

Experience:4+ yearsFintechCreditLending

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solvingInfluencingStakeholder management

Languages:English

Tech Stack:SQLPythonMachine learningData visualizationStatistical modeling

Company Brief

Affirm

Industry: Lending

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2012

Website LinkedIn