Data & AI
Data Scientist
Builds statistical and machine learning models to uncover patterns in data and predict future outcomes.
TechnicalResearch HeavyStem
Data & AI
Quantitative Analyst
Builds mathematical models used to price financial instruments, manage risk, and inform trading strategies.
Also known as: Quant, Quantitative Researcher
Compare with another careerWhat you do
Develops statistical and mathematical models for pricing derivatives, assessing portfolio risk, or generating trading signals. Writes code to backtest strategies against historical data, works closely with traders and risk teams, and continually refines models as market conditions change.
Typical work environment
Desk-based work in a bank, hedge fund, or trading firm, often under time pressure during market hours, working in small, highly specialized teams.
Typical entry point
Junior or graduate quant analyst role in an investment bank, hedge fund, or trading firm
Relevant subjects
Core
Mathematics
Also relevant
PhysicsEconomicsComputer Science
Relevant interests
Core
FinanceInvesting / Trading
Also relevant
AI / DataResearch
Useful skills
Python· AdvancedMATLAB· IntermediateAnalytical thinking· AdvancedProblem solving· AdvancedData analysis· Advanced
These are useful, relevant skills to build over time — not a checklist you need to already have.
Common education routes
Bachelor's degree—MathematicsPrimary route
Bachelor's degree—StatisticsPrimary route
Master's degree—Actuarial ScienceCommon route
Master's degree—EconomicsCommon route
These are common routes in, not the only path — and not a university or course recommendation.
Career characteristics
Strong salary potentialDeep technical specialisationGood international mobilityResearch-intensive
General tendencies for this career, not a guarantee — actual roles vary by employer and location.
Industries
DataBankingInvestment
Tags
STEMAnalyticalResearch-heavy
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