Related skills
sql python pandas tensorflow pytorch📋 Description
- Research, develop, and ship advanced pricing models for high-value assets.
- Identify new data signals and validate predictive power via backtesting.
- Collaborate with Product Engineering to refine risk and underwriting models.
- Encode market nuances with domain experts into automated features.
- Define and monitor model performance; explain price movements toward liquidity.
🎯 Requirements
- 5+ years in Data Science focused on feature engineering and model-building in pricing/financial modeling.
- SQL, Python, Pandas, Scikit-Learn, XGBoost, LightGBM, PyTorch, TensorFlow.
- Statistical rigor, experimental design, backtesting with noisy or sparse data.
- Collaborative in sprint-based teams with DS/ML Engineers; production-ready code.
- Cloud experience (AWS, GCP); ML Ops with MLflow, orchestration, deployment/telemetry.
- Advanced degree (Master’s or PhD) in Statistics, Economics, Mathematics, or Computer Science preferred.
🎁 Benefits
- Shape the future of Alt and the asset space.
- Autonomy and ownership on meaningful projects.
- $100/month work-from-home stipend.
- $200/month wellness stipend.
- WeWork office stipend.
- 401(k) retirement benefits.
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