12 weeks · intensive
For whoever has a deadline
About 8 hours a week, in 1 cycle focused on the gaps that weigh most.
Career in 2026 and 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.
Content reviewed on October 21, 2026
- Levels
- 4
- Skills mapped at Mid-level
- 8
What each level must prove
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.
Average score required: 69%
Ito Calculus
Why: 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
Why: 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
Why: 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
Why: 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
Why: 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
Why: 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
Why: 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
Why: 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.
Study for Quantitative Analyst: trails and practice exams
Each level of this career maps to a study trail. Read the full topic map for free, then measure your level.
Two ways to move up one level
40 weeks · regular
Alongside work
About 4 hours a week, in 3 cycles. Each cycle carries what was left from the previous one.
Frequently asked questions
What is 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.
What must each level of Quantitative Analyst prove?
Quantitative Analyst is mapped in 4 levels: Junior, Mid-level, Senior, and Expert. Open each level above to see the skills it must prove.
How long does the Quantitative Analyst plan take?
The plan has 2 paces: 12 weeks per level at about 8 hours a week (intensive) and 40 weeks per level at about 4 hours a week (regular).
How the plan works
AI tutor
A study session on each new topic, at your level.
AI school
Hands-on lessons on using AI in your career's daily work.
Assessments
Each requirement is proven by measurement, not by a checkbox.
Stage review
At the end of each cycle you see what moved and what carries over.
Find out which level you are at
A short diagnostic measures the skills you already have. The journey starts from there.