🛠 Tech Stack

💼 About This Role

You'll analyze loan-level structured finance datasets to drive investment decisions for institutional clients. Core impact: Build scalable SQL/Python workflows and client-facing dashboards for a multi-trillion-dollar securitization market. The role offers deep exposure to ABS, RMBS, and consumer loan analytics.

🎯 What You'll Do

• Analyze loan-level structured finance datasets for investment insights.
• Develop SQL, Python, or R workflows for complex financial data.
• Translate raw data into dashboards and reports for institutional clients.
• Collaborate with engineering teams to build scalable analytics tools.

📋 Requirements

• 5+ years experience with financial data in structured finance.
• Strong understanding of securitization structures (ABS, RMBS).
• Proficiency in SQL, Python, or R for data manipulation.
• Experience with trustee reporting and investor reports.

✨ Nice to Have

• Experience with loan origination and servicing data.
• Client-facing or stakeholder-facing communication skills.
• Familiarity with capital markets and structured products.

🎁 Benefits & Perks

• 💵 $120k-$130k salary depending on experience.
• 🏠 Remote-first work with flexibility.
• 🏖️ Unlimited PTO for rest and travel.
• 🏥 Medical, dental, vision insurance for employees and families.
• 📚 $1,000 annual learning budget plus $1,650 fitness reimbursement.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3Onsite Interviews· 3 hours
4. 4Offer· N/A