Quantitative Analyst

Quantitative Analyst

The financial sector is defined by constant change and innovation, and technology present within the FinTech sector is becoming increasingly complex. The trend in the growth of hedge funds and automated trading systems has positively impacted the demand for professionals who understand financial and quantitative data analysis

Presenting; the Quantitative Analyst. A mathematically-driven specialist to applies mathematical and statistical methods to financial and risk management problems. A Quantitative Analyst is responsible for developing and implementing complex models used by firms to make financial and business decisions about issues, investments, pricing etc.

The 2008 financial crisis unambiguously exposed flaws and limitations present within financial systems, and companies knew they have to implement changes if they wanted to reduce risks and prevent future crises. Since then, the crisis risk management industry has experienced unprecedented levels of growth, and will continue to grow to meet regulatory standards. Thus, the demand for specialists who understand the mathematical models behind security pricings, to generate profits and reduce risks are highly valued in the market.

So, not only can a Quantitative Analyst enjoy robust job security and a thriving job market, the role is both intellectually and financially rewarding. Salaries across the FinTech space are generally very high, and due to their specialised nature, knowledge and skills, salaries for a Quantitative Analyst average at £75,000+ per annum.

Responsibilities of a Quantitative Analyst differ according to the employer (e.g. if they are a Hedge Fund or Investment Bank), the product focus (e.g. are they commodities or asset-backed securities focused) and the level of experience and expertise of the Quantitative Analyst. Broadly, a Quantitative Analyst may be required to research and analyse market trends and statistics to make modelling decision, perform daily statistical analyses (e.g. risk analytics, loan pricing, default risk modelling), coding tasks and more.

There is also variety within the role of a Quantitative Analyst; the difference between a ‘back office’ Quantitative Modeller or Researcher, who may be more heavily involved in validating statistical models and generating new financial strategies, to a Quantitative Analyst that prefers the fast-paced, high octane front office environment. A ‘front office’ Quantitative Analyst may work directly with a trader, designing stock market algorithms etc. Therefore a Quantitative Analyst has the option to specialise within the role based on their preferences.

Typically a successful Quantitative Analyst will hold a degree in a mathematical / numerical-related discipline, and will have experience in OOP, big data modelling, database management, C++, Python, SQL, Machine Learning, financial modelling and more. Strong Quantitative Analysts are naturally analytical, adept at solving complex problems under pressure and have first-rate communication skills.

If you are a Quantitative Analyst looking for a new role in London and surrounding areas or Europe, get in touch with one of our specialist consultants today to discuss any potential opportunities.

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