🛠 Tech Stack

💼 About This Role

You'll monitor corporate liquidity risks and develop financial risk models for a rapidly growing fintech company. Your work will directly inform proactive risk management across the firm. This role offers the chance to shape risk frameworks at the epicenter of the wealth transfer.

🎯 What You'll Do

• Monitor and report on financial risks daily
• Conduct deep-dive quantitative analyses into liquidity risks
• Enhance liquidity risk models and forecasting frameworks
• Design dashboards and data pipelines with Data Science and Engineering

📋 Requirements

• Bachelor's degree in mathematics, computer science, or engineering
• 1-3 years of experience in data analytics or risk management
• Advanced proficiency in SQL and Python
• Understanding of Value-at-Risk, stress testing, and scenario analysis

✨ Nice to Have

• Advanced graduate degree (MFE or similar)
• Experience with AI/ML tooling and BI platforms like Superset or Looker
• Familiarity with derivatives, futures, and digital assets

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 💼 Equity grants
• 💰 Bonus opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Hiring Manager Interview· 45 min
3. 3Technical Interview· 60 min

🚩 Heads Up

• Experience level mismatch: senior title but requires only 1-3 years experience