Derivative pricing
Develop valuation models for options, swaps and structured products. The work combines stochastic modelling, numerical methods, market data and risk sensitivities such as Greeks.
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Choose a domain
Quant finance covers different kinds of work. These focused pages make it easier to compare roles and see the current vacancies in each area.
Develop, review and challenge models used to assess lending, capital and portfolio risk. Roles span credit risk analytics, model development, independent validation and regulatory reporting.
Research data-driven trading ideas and turn them into models, execution logic and reliable systems. These roles combine market microstructure, statistics, software engineering and real-time data.
Support investment decisions through research, portfolio construction, asset allocation, risk analysis and performance measurement. Roles often connect quantitative research with investment and product teams.
Apply statistical modelling, machine learning and data engineering to financial problems. The work can improve risk models, automate decisions and generate insight from market or customer data.
Work with power, gas, commodities and renewable-energy markets. Roles cover price forecasting, portfolio optimisation, trading analytics, risk and market-data modelling.
Monitor and analyse market, counterparty and liquidity risk for trading activity. Work may include exposure analysis, limits, stress testing, profit-and-loss explain and risk reporting.
Support balance-sheet management, funding, liquidity planning and interest-rate risk. Roles use models and scenarios to help banks and financial institutions manage long-term financial exposures.
Apply actuarial science, financial mathematics and risk modelling to insurance liabilities, pensions, Solvency II capital, pricing, reserving and long-term balance-sheet decisions.
Develop valuation models for options, swaps and structured products. The work combines stochastic modelling, numerical methods, market data and risk sensitivities such as Greeks.
Current market
104active jobs
Industry overview
104active jobs
FAQ
A quant job applies mathematics, statistics, programming and financial market knowledge to trading, risk, investing, pricing or data problems.
A quantitative analyst uses data, mathematics, statistics and programming to solve financial problems such as risk measurement, pricing, modelling, trading research or portfolio analysis.
A risk manager measures, monitors and communicates financial risks. The work can include market, credit, liquidity, model or operational risk, depending on the employer and role.
Python is widely used across quant finance. SQL, C++, C#, R and SAS can also be important depending on the role and employer.
Quant professionals work at banks, trading firms, asset managers, insurers, energy companies and consultancies. Explore the Dutch Quant Landscape for employers represented on Quant Jobs NL.
Model development designs, builds and maintains quantitative models. Model validation independently reviews whether those models are sound, appropriately implemented and suitable for their intended use.
Not always. Requirements differ by role and employer, but strong quantitative education, programming ability and relevant financial or analytical experience are commonly valued.
Quant analysts typically focus on research, models, analysis and decision support. Quant developers focus more on building reliable software, data pipelines and production systems for quant workflows.