Overview

🏢 Company | High-growth fintech, powering e-commerce lending

👤 Role | Data Scientist (Risk Intelligence)

🎯 Impact | Credit decisioning, Underwriting models, Portfolio analytics

📏 Size | ~25 people, well-funded and scaling

🌟 Skills | SQL, Python/R, Machine Learning, Dashboards

📍 Location | NYC (On-site, 5 days/week)

💰 Offer | $140,000 – $170,000 + Equity (0.05%–0.10%)

💎 Benefits | Foundational data hire, direct exposure to lending strategy, visa sponsorship considered

Want to build the brain behind smarter lending?

Join a rapidly scaling fintech that’s changing how consumer brands access capital. With billions in GMV processed, they’re rethinking credit intelligence from the ground up.

You’ll be the bridge between data, credit, and product, owning how lending decisions are made, risk is assessed, and models are deployed. If you’re in a big org but miss autonomy and impact, this role will feel like a breath of fresh air.

What you’ll be doing

• Build underwriting models and decision engines from scratch

• Analyse portfolio performance and develop risk strategies

• Design dashboards and reporting tools for key stakeholders

• Partner cross-functionally with credit, engineering, and product

• Translate complex data into commercial decisions

You’ll thrive here if you:

• Are fluent in SQL and Python (or R)

• Have 4+ years’ experience in data science, ideally in lending, fintech, or underwriting

• Enjoy tackling messy, real-world data and building models end-to-end

• Communicate clearly, collaborate well, and work without ego

• Thrive in fast-paced, high-ownership environments

• Bonus: experience in e-commerce lending or modern fintechs and banks

What’s next

Hit apply and we’ll share a full briefing pack and walk you through the company, the product, and how this role connects to their next stage of growth.