🛠 Tech Stack

💼 About This Role

You'll design and implement processes that feed Quantitative Research and Discretionary Trading teams. You'll develop time series and forecasting models using state-of-the-art machine learning and advanced statistical methods. Your work will support live models running around the clock.

🎯 What You'll Do

• Dive deep into multiple datasets to understand relationships
• Develop time series and forecasting models for quant strategies
• Provide new insights using machine learning and statistical methods
• Work closely with Quant Researchers, Portfolio Managers, and Operations

📋 Requirements

• 3+ years hands-on experience with Machine Learning and Statistics on large datasets
• Python or C++ with full-stack experience
• Production code for multi-client systems serving model results
• Experience with distributed data processing like Spark/Scala or SQL

✨ Nice to Have

• Experience in buy-side or financial services
• Comfortable working in containerized environments
• Ability to communicate findings to nontechnical stakeholders

🎁 Benefits & Perks

• 💵 Competitive base salary range $175k-$250k
• 🏢 Onsite work in modern office environment
• 📈 Work with world-class talent in quantitative finance
• 🔬 Access to diverse datasets and cutting-edge technology

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interview· Half day