12 semanas · intensivo
Para quien tiene plazo
Unas 8 horas por semana, en 1 ciclo centrados en las brechas que más pesan.
Carrera en 2026 y 2027
Quantitative Analyst
Quantitative analysts build the mathematical models that price financial instruments, measure risk and drive systematic strategies. The work sits between probability theory, numerical methods and the trading or risk desk that has to trust the results.
Contenido revisado el 21 de octubre de 2026
- Niveles
- 4
- Habilidades mapeadas en Mid-level
- 8
Lo que cada nivel debe demostrar
Mid-level
Builds and maintains pricing and risk models for rates, equity and credit, and answers for their results with the desk.
You own models in production: building curves, calibrating rate models and producing the VaR number that risk management reports. Compared with junior, you are expected to explain a P&L or risk move to a trader and to decide which model fits a product.
Puntuación media exigida: 69%
Ito Calculus
Por qué: Lets you derive the SDE and the pricing PDE for a new payoff yourself when the desk asks for a product nobody has modelled yet.
Girsanov Theorem & Change of Measure
Por qué: Lets you switch to the risk-neutral measure or another numéraire to price a quanto or a forward-starting product that is awkward under the real-world measure.
Black-Scholes Framework
Por qué: Lets you decide when Black-Scholes is a fair quoting convention and when its limits, such as the smile, mean you need a richer model.
Binomial & Lattice Models
Por qué: Lets you choose a tree or trinomial lattice for early-exercise products and judge whether the number of steps gives a stable price for a daily run.
Yield Curve Construction
Por qué: Lets you bootstrap a curve from deposits, futures and swaps with OIS discounting, so every downstream valuation uses discount factors the desk can reconcile.
Interest Rate Models
Por qué: Lets you calibrate a short-rate or market model to the swaption surface to value a callable bond, and see when the calibration is fitting noise.
Value-at-Risk Models
Por qué: Lets you produce and backtest a daily VaR and expected shortfall, and explain to risk management why the historical and Monte Carlo numbers differ.
Credit Risk Modeling
Por qué: Lets you price a CDS from a hazard-rate curve and judge default correlation in a credit portfolio, rather than treating credit names as independent.
Estudia para Quantitative Analyst: rutas y simulacros
Cada nivel de esta carrera corresponde a una ruta de estudio. Lee gratis el mapa completo de temas y luego mide tu nivel.
Dos caminos para subir un nivel
40 semanas · regular
Junto al trabajo
Unas 4 horas por semana, en 3 ciclos. Cada ciclo lleva lo que quedó pendiente del anterior.
Preguntas frecuentes
¿Qué es Quantitative Analyst?
Quantitative analysts build the mathematical models that price financial instruments, measure risk and drive systematic strategies. The work sits between probability theory, numerical methods and the trading or risk desk that has to trust the results.
¿Qué debe demostrar cada nivel de Quantitative Analyst?
Quantitative Analyst está mapeado en 4 niveles: Junior, Mid-level, Senior y Expert. Abre cada nivel arriba para ver las habilidades que debe demostrar.
¿Cuánto dura el plan de Quantitative Analyst?
El plan tiene 2 ritmos: 12 semanas por nivel, con unas 8 horas por semana (intensivo) y 40 semanas por nivel, con unas 4 horas por semana (regular).
Cómo funciona el plan
Tutor IA
Una sesión de estudio para cada tema nuevo, a tu nivel.
Escuela de IA
Clases prácticas de uso de IA en el día a día de tu carrera.
Evaluaciones
Cada requisito se demuestra midiendo, no marcando una casilla.
Revisión de etapa
Al final de cada ciclo ves qué avanzó y qué pasa al siguiente.
Descubre en qué nivel estás
Un diagnóstico corto mide las habilidades que ya tienes. El recorrido empieza ahí.