Quant

Findmino; Amsterdam; Hybrid; EUR 70,000 - 120,000; Full time

Job summary

Findmino seeks a Quantitative Analyst/Researcher to apply mathematical models and statistical techniques to analyze financial risks and support decision-making.

You will collaborate with traders, risk managers, and IT specialists to ensure models meet business needs, identify market trends, and translate data into actionable investment insights. This role also focuses on developing new techniques to improve efficiency and competitive advantage.

Qualifications

• Proven ability to apply statistical techniques and mathematical modeling to financial data.
• Ability to interpret large datasets and translate into actionable insights.
• Familiarity with machine learning, data analysis, and software development is a plus.

Responsibilities

• Collaborate with traders, risk managers, and IT specialists to ensure model functionality and performance.
• Identify financial market trends and make explicit recommendations based on data analysis and modeling.
• Develop and implement new techniques to improve operational efficiency and provide competitive advantage.

Job description

(Quantitative Analyst, Quantitative Researcher, Data Scientist in Finance, Financial Modeler)

(Quant) A Quant is responsible for applying mathematical models and statistical techniques to analyze financial risks and support decision-making within the organization. The team where a Quant works usually consists of highly educated professionals who focus on optimizing the performance of financial instruments and developing advanced algorithms for trading strategies. The role requires strong analytical skills and the capacity to interpret complex datasets and translate them into actionable insights. Quants often collaborate with traders, risk managers, and IT specialists to ensure that model functionality and performance meet business needs. The company expects the Quant to identify trends in financial markets and make explicit recommendations based on data analysis and modeling. Additionally, there is a focus on developing and implementing new techniques that improve operational efficiency and provide competitive advantage in a dynamic market.

Required Education

For a position as Quant, you need at least an HBO or university degree in a quantitative field such as econometrics, mathematics, physics, financial economics, or actuarial science. At HAVO/VWO level, the Nature & Technology (N&T) or Nature & Health (N&G) profile is often most suitable due to the strong mathematical foundation, although Economics & Society (E&M) is also possible if you have taken mathematics B. Subjects like mathematics, physics, and economics are crucial for this role. Many employers prefer candidates with a master's degree or even a PhD in a relevant field, as the complexity of mathematical models and algorithms is very high.

Required Skills

As a Quant, you often start as a Junior Analyst or Research Assistant within financial institutions such as banks, hedge funds, or asset managers. From this senior position, you can grow to Lead Quant, Portfolio Manager, or Head of Quantitative Research, where you lead teams and make strategic decisions. Additionally, there are lateral opportunities toward Risk Management or Financial Engineering. The field is growing strongly due to increasing digitalization and complexity of financial markets, which offers excellent career opportunities for mathematically skilled professionals.

AI Impact on the job

AI transforms the role of 'Quant' by automating repetitive tasks such as data analysis and modeling. Quants must now place more focus on skills like machine learning, big data analysis, and software development to effectively integrate AI tools. This offers opportunities for more creative and strategic roles, but may lead to a reduction in traditional functions due to automation. The job market increasingly demands professionals who are technically skilled and able to translate AI-driven insights into investment strategies.

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