Block

Block

Block is a company that consists of Square, Cash App, Spiral, TIDAL, TBD, and foundational teams. They are focused on economic empowerment by creating tools to expand access to the economy. Square helps sellers run and grow businesses, Cash App redefin...

Capital Markets
10K-50K
Founded 2009

Description

  • Architect and build systems that power fraud prevention and abuse mitigation across the Afterpay lending lifecycle.
  • Shape lending decision frameworks using advanced analytics, automation, and modeling to improve precision, adaptability, and speed.
  • Analyze large, complex datasets to surface insights that influence underwriting strategy, ecosystem safeguards, and product direction.
  • Lead signal discovery and deep experimentation to identify evolving risk patterns and inform next‑generation decision systems.
  • Build agentic features for operations teams that surface emerging fraud vectors, adapt to changing patterns, and enable faster, more precise decision‑making at scale.
  • Design and implement agentic engineering workflows that accelerate development, testing, and documentation.
  • Collaborate cross‑functionally with Product, Engineering, and Operations to design systems and features that enhance trust and portfolio health.
  • Share modeling context and approaches across teams to align how fraud risk is measured, interpreted, and discussed.
  • Mentor and elevate fellow scientists and modelers, contributing to modeling standards, best practices, and technical excellence across the team.
  • Exercise high autonomy and ownership, driving solutions from problem framing and design through deployment and iteration.

Requirements

  • Bachelor’s degree in a quantitative field required (e.g., Mathematics, Statistics, Physics, Computer Science); advanced degrees preferred.
  • 10+ years of experience in fraud, risk, credit underwriting, or another high‑stakes decisioning domain.
  • Deep expertise in machine learning methods, statistical modeling, and advanced analytical techniques.
  • Strong experimentation skills, including designing holdouts, measuring lift, and evaluating models beyond aggregate metrics.
  • Experience designing automated validation and testing frameworks for models and decision logic.
  • Proficiency with AI‑native development workflows and tools, including LLMs, agentic coding tools, and AI‑assisted automation.
  • Experience explaining modeling concepts, results, and limitations to senior stakeholders and cross‑functional partners.
  • Experience working across disciplines in environments with meaningful constraints.
  • Familiarity with the tech stack and tooling used: Python (NumPy, Pandas, scikit‑learn, PyTorch, XGBoost, LightGBM), MLflow, internal feature store and model hosting platforms, Prefect/Airflow, SQL/Snowflake, GitHub, and GCP/AWS.

Benefits

  • Salary range (Zone A–D): $276,800 — $415,200 USD (location‑dependent).
  • Fully remote role for candidates based in the US or Canada / flexible remote‑first work environment.
  • Medical insurance / health coverage.
  • Flexible time off (PTO) and modern flexible work arrangements.
  • Retirement savings plans.
  • Modern family planning benefits.
  • Inclusive interview experience with reasonable accommodations for disabled applicants.

Interested in this position?

Apply directly on the company website

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