Block

1 month ago

Staff Machine Learning Engineer, Underwriting and Credit

✓ 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

Senior individual contributor building and evolving ML systems for underwriting and credit across Cash App Borrow and Afterpay. You will own the full modeling lifecycle—from problem formulation to deployment and monitoring—driving calibration, experimentation, and governance, while collaborating with Product, Engineering, Legal, and Compliance in a remote US/Canada team.

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Build, evaluate, and maintain underwriting and decisioning models across Cash App Borrow and Afterpay.
•Design and evolve credit decision frameworks, including the modeling, automation, and policy logic that manage credit exposure over time.
•Design and run experiments to evaluate model performance, measure impact on approval rates and loss, and inform credit policy decisions.
•Develop deep understanding of borrower behavior, repayment dynamics, and portfolio structure across both products, and use that to inform model design and decision logic.
•Collaborate with Product, Engineering, Legal, Compliance, and Operations to ensure credit systems reflect business goals and regulatory expectations.

Pay and Benefits

Perks:Remote WorkHealth InsuranceRetirement Savings

Key Requirements

•Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science). Advanced degrees welcome.

Experience:10+ yearsFintechCreditRiskMachine learning

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solving

Languages:En

Tech Stack:PythonNumPyPandasScikit-learnPyTorchXGBoostLightGBMClaude CodeCursorCopilotMLflowSQLSnowflakeGitHubGCPAWS

Company Brief

Block

Builds financial services and commerce tools to empower businesses and individuals, operating products such as Square, Cash App, Spiral (Bitcoin initiatives), TIDAL, and developer-focused payment and banking solutions.

Industry: Fintech Infrastructure

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: 2009

Website LinkedIn

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Block

1 month ago

Staff Machine Learning Engineer, Underwriting and Credit

✓ 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: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Build, evaluate, and maintain underwriting and decisioning models across Cash App Borrow and Afterpay.
•Design and evolve credit decision frameworks, including the modeling, automation, and policy logic that manage credit exposure over time.
•Design and run experiments to evaluate model performance, measure impact on approval rates and loss, and inform credit policy decisions.
•Develop deep understanding of borrower behavior, repayment dynamics, and portfolio structure across both products, and use that to inform model design and decision logic.
•Collaborate with Product, Engineering, Legal, Compliance, and Operations to ensure credit systems reflect business goals and regulatory expectations.

Pay and Benefits

Perks:Remote WorkHealth InsuranceRetirement Savings

Key Requirements

•Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science). Advanced degrees welcome.

Experience:10+ yearsFintechCreditRiskMachine learning

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solving

Languages:En

Tech Stack:PythonNumPyPandasScikit-learnPyTorchXGBoostLightGBMClaude CodeCursorCopilotMLflowSQLSnowflakeGitHubGCPAWS

Company Brief

Block

Industry: Fintech Infrastructure

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: 2009

Website LinkedIn