Senior Analyst, Risk & Analytics (Remote)

Candidate

San Francisco (CA)

Remoto

USD 112.000 - 172.000

Tempo pieno

4 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Health coverage at no cost to you and,
Monthly tech stipends
Flexible time off and holidays
Employee stock purchase plan (ESPP)

Descrizione del lavoro

affirm is seeking Senior Analysts in Risk & Analytics to work on end-to-end analyses across customer and merchant lifecycles. You will translate data into business strategy, influence multiple teams, and own projects from question through decision.

You will collaborate with Engineering and ML teams to build robust metrics and risk models while mentoring newer analysts. The role emphasizes autonomy, fast learning, and ability to navigate ambiguity, with remote-first policies and compensation that

Competenze

  • 2–5 years of analytically driven experience in consumer lending, credit, or fintech.
  • Degree in Data Science, Computer Science, Engineering, Economics, or related field.
  • Advanced proficiency in SQL, Python, or other scripting languages.
  • Deep expertise in data mining, data visualization, and statistical modeling.
  • Experience leading cross-functional initiatives with Product, Legal, Compliance, and Engineering.

Mansioni

  • Own complex analytical problems end to end from question to decision.
  • Translate data into business strategy and influence stakeholders.
  • Collaborate with Engineering and ML teams to design and interpret performance metrics.
  • Lead cross-functional discussions to align analytics with product and regulatory needs.
  • Oversee development and launches, ensuring risk and regulatory alignment.
  • Mentor junior analysts and build repeatable AI-assisted workflows.

Conoscenze

SQL
Python
Data mining
Statistical modeling
Cross-functional leadership

Formazione

Data Science / CS / Engineering / Economics degree

Strumenti

Jupyter

Descrizione del lavoro

affirm is seeking Senior Analysts in Risk & Analytics to work on end-to-end analyses across customer and merchant lifecycles. You will translate data into business strategy, influence multiple teams, and own projects from question through decision.

You will collaborate with Engineering and ML teams to build robust metrics and risk models while mentoring newer analysts. The role emphasizes autonomy, fast learning, and ability to navigate ambiguity, with remote-first policies and compensation that

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