TQS / Fields
Where quantitative skills are used
“Quant” is not one industry. The same tools—mathematics, statistics, programming, and modeling—help people make very different decisions.
Eight fields, many questions
Trading and market making
Firms continuously quote buy and sell prices and trade across many markets.
- Problems
- Order books, pricing, execution, inventory, and risk management
- Methods
- Probability, statistics, optimization, and low-latency systems
Systematic funds
Models help assess patterns in data and manage portfolios systematically.
- Problems
- Signal research, portfolios, transaction costs, and risk models
- Methods
- Time series, statistics, machine learning, portfolio optimization
Banks and financial infrastructure
Quantitative teams build models and systems for prices, risk, and markets.
- Problems
- Derivatives, market and credit risk, model validation, fraud detection, exchange technology
- Methods
- Stochastic modeling, numerical methods, statistics, data engineering
Energy and commodities
Power, gas, and renewable generation must be scheduled despite weather and changing demand.
- Problems
- Generation forecasts, storage, dispatch, power trading, and grid balancing
- Methods
- Probabilistic forecasting, optimization, time series, weather data
Insurance and reinsurance
Insurers quantify rare losses, long-term liabilities, and uncertainty.
- Problems
- Pricing, reserving, catastrophe risk, fraud, and solvency
- Methods
- Actuarial mathematics, statistics, extreme-value theory, machine learning
Climate, weather, and catastrophe risk
Models estimate extreme events and their effects on infrastructure, businesses, and insurers.
- Problems
- Weather forecasts, climate risk, exposure models, and adaptation planning
- Methods
- Simulation, geospatial data, probabilistic modeling, causal inference
Logistics and digital marketplaces
Platforms coordinate supply and demand and decide what goes where and when.
- Problems
- Routing, matching, dynamic pricing, inventory, and demand forecasting
- Methods
- Operations research, optimization, auctions, causal experiments
Sports and health
Data informs decisions about strategy, treatment, and scarce resources.
- Problems
- Player valuation, sensor data, clinical trials, and resource planning
- Methods
- Statistics, time series, experimental design, image and sensor analysis
Tools that travel
Many of these paths start with the same foundations. Domain knowledge is added depending on the role.