Remote Analytics Associate, Risk & Lending

Job summary

Qualifications

• 1–3 years of experience in an analytically-driven role; internships or experience in consumer lending/fintech valued.
• Degree in Data Science, Computer Science, Engineering, Economics, or related quantitative field.
• Solid working knowledge of SQL, Python, or other scripting languages.
• Familiarity with data mining, data visualization, and foundational statistical modeling.
• Basic understanding of consumer lending regulations, fair lending principles, and ML applications to business problems.
• Exceptional communication skills and ability to collaborate with cross-functional peers.

Responsibilities

• Derive insights and support strategy to optimize product, risk, or growth strategies across geographies.
• Monitor portfolio health by tracking performance metrics, user behavior, and macro trends.
• Technical execution: write clean SQL and Python; partner with Engineering to support ML and risk model deployment.
• Collaborate with Product, Legal, and Compliance to translate regulations into data models and policies.
• Drive launch alignment to ensure new products and market entries fit operational capabilities and risk appetite.
• Demonstrate AI fluency by integrating tools to accelerate data mining and routine tasks.