Senior Quantitative Researcher (Options Market Making)

Location: Amsterdam

Company

hirify.global is a proprietary trading firm deploying its own capital across discretionary, systematic, and market-making strategies in global listed derivatives markets.

What you will do

• Lead research in option pricing, volatility modelling, alpha generation, and algorithm design for low-latency, exchange-traded options strategies.
• Translate trading questions, market observations, and practitioner intuition into testable hypotheses, quantitative models, and optimisation problems.
• Apply mathematics, statistics, machine learning, and optimisation to large datasets and rigorously validate research outcomes.
• Partner with traders and developers to implement research in production, monitor performance, and measure trading impact.
• Turn manual trading judgements and heuristics into reproducible, measurable, and scalable approaches reusable across desks, products, and markets.
• Communicate assumptions, uncertainty, limitations, and commercial implications while supporting researchers and meeting risk, model governance, change-management, and information-security standards.

Requirements

• Strong academic background in Mathematics, Statistics, Physics, Computer Science, Engineering, Operations Research, or a related quantitative discipline.
• PhD or another demonstrable track record of conducting independent research.
• At least three years of experience in the financial industry, including relevant experience in electronic options trading.
• Strong foundations in probability, statistics, and quantitative modelling, with the ability to develop predictive models and test complex hypotheses using real-world data.
• Proficiency in Python or another suitable research language.
• Rigorous experimental and model-validation skills, including understanding of uncertainty, overfitting, and the challenges of translating research into live trading.
• Commercial curiosity, initiative, sound judgement, and ownership from problem identification through implementation, adoption, and measurable results.
• Collaborative ability to connect quantitative research, trading knowledge, and engineering expertise.
• Experience with AI tools for analysis, programming, or research.

Culture & Benefits

• Significant responsibility for research that shapes trading decisions and performance, with opportunities to see work deployed and measure its impact.
• Equal partnership with experienced traders, researchers, and engineers, with influence over research priorities.
• Leadership opportunities and the ability to contribute to the development of other researchers.
• Fast-growing global firm with a strong engineering environment focused on technology, creativity, and practical innovation.
• Competitive compensation package, annual discretionary bonus, private healthcare and life assurance, group pension plan, and fully catered breakfast and lunch.
• 25 days of annual leave plus public holidays, with an enhanced allowance after two years of service, and an informal dress code.