- Hypothesis testing
- Backtest/backtesting framework
- Statistical significance
- Risk-parity
- Cross-asset
- Factor investing
- Portfolio management
- Strategies, strategy research, investment models
- Portfolio Risk management
- Factor risk model
- Performance attribution
- Systematic investing strategies
- Quantitative and computational
- Economic research
- Risk management
- Proprietary
- Alternative data
- Text mining
- Q-learning
- Economic data, economic indicator
- Latent variable model
- Bayesian (Learning)
- Prior
- Systematic trading(investing) strategies
- Asset class, cross-asset
- Equity indices, macroeconomic data
- Systematic futures
- Equity arbitrage
- Market inefficiency
- Active equity
- Long-only, extended long, long-short
- Metrics
- Capital allocation, leverage and book size
- return, PnL, maxdrawdown, Sharpe ratio
- target volatility, holding period, potential for scalability
- Asset class, cross-asset
- Data Science
- Statistical analysis, statistical modeling
- missing data imputation
- data cleasing
- Platform
- pipeline
- Visualize, data visualization, dashboard
- Explore, data exploration
- Alternative data mining
- Statistical analysis, statistical modeling
- Engineering
- portfolio construction and implementation
- flexible and scalable, high-performance
- accuracy, usability, availability
- rebalancing platform
- optimization engine and supporting algorithms and tools
- APIs
- cloud computing, parallel computing
- microservices
- product
- [Asset Class] Pricing/Risk Analytics
More to show in the interview, tell stories about these
- Curious
- High-energy
- Self-starter
- Problem Solving
- precise approach to solving problems
- Teamwork
- Welcome collaboration
- Communicate complex, creative, socially conscious
- detail-oriented
- work independently, ownerships
- multiple task, fast paced enviornment