Senior Manager / Assistant Director - AI Researcher, Quantitative Strategies
SGD 102K-150K (estimate) Senior-level Full Time
Tasks
- Collaborate with quant developers for production pipelines
- Conduct sensitivity testing and stability diagnostics
- Define requirements acceptance criteria and monitoring KPIs
- Design experiments and research agendas
- Detect and manage non stationarity
- Develop alpha signals and predictive features
- Establish research robustness standards
- Evaluate modeling approaches
- Incorporate turnover liquidity transaction cost constraints
- Lead AI ML investment research initiatives
- Mentor junior researchers on methodology
- Mitigate overfitting with regularization and feature selection
- Perform leakage controls and realistic signal timing
- Present research findings to investment leadership
- Produce governance ready research documentation
- Run walk forward evaluation and time series cross validation
- Support model risk validation and explainability
- Translate model outputs into implementable signals
Perks/Benefits
- N/A
Skills/Tech-stack
Capacity | Cost modeling | Cross Sectional Prediction | Cross-validation | Data Curation | Data Modeling | Deep learning | Diversification | Drawdown | Experiment tracking | Explainability | Feature Selection | Git | Julia | Learning Theory | Liquidity | Look Ahead Bias | MLflow | Machine Learning | Market Microstructure | Model Risk Management | Model risk | Non Stationarity | Permutation Importance | Portfolio construction | PyTorch | Python | R | Ranking | Regularization | Reinforcement Learning | Representation Learning | Reproducible Research | Risk Management | Risk factors | SHAP | SQL | SQL Data Modeling | Series forecasting | Slippage | Stability Testing | Statistical Learning | Statistical Learning Theory | Survivorship Bias | TensorFlow | Time Series | Time Series Forecasting | Time series cross-validation | Transaction cost modeling | Turnover | Walk Forward Evaluation | Weights and Biases
Education
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