Quantitative analysts, better known as quants, remain in demand throughout the modern financial world.
This job role requires strong mathematical skills, a keen analytical sense, and a measure of business acumen. Additionally, an affinity for technology, including machine learning and other programming skills, helps quant candidates attract employers.
If your financial organization needs to hire quant analysts, understanding the skills and experience they possess becomes critical. This knowledge helps your HR team craft job descriptions to attract the experienced candidates your business wants. So let’s dive into what makes up an ideal quantitative analyst to ensure your company makes the right hire.
How is Quant Analysis Revolutionizing the Financial World?
Educational Qualifications For a Quant
At a minimum, a quantitative analyst candidate needs at least a bachelor’s degree in one of the STEM disciplines. Companies typically want candidates with degrees in mathematics, computer science, data science, or an engineering discipline. Some companies also consider a finance or business administration degree, especially in tandem with a STEM educational background.
Note that many open positions require candidates with an advanced degree. A significant number of quants hold either master’s or even doctorates in their chosen scientific discipline. In short, this isn’t a career path for someone with a high school diploma and a few certifications.
What Skills Identify Top Quant Candidates?
Experienced quantitative analysts typically possess a robust collection of skills and analytical abilities. Notably, many positions require programming chops in Python or other languages used for data science. Experience in writing SQL queries and database design is another requirement for many companies. Exposure to analyzing and managing large datasets remains essential.
Not surprisingly, exceptional quant candidates possess top-shelf mathematical skills, in many cases backed up by an advanced math degree. Strong abilities with statistics and data analysis also differentiates the best candidates. Related to programming, companies want quants with the ability to craft machine learning models used for mathematical analysis.
Typical Responsibilities For a Quantitative Analyst
Of course, the specific responsibilities for a quant depend on their position, but a few generalities definitely apply. A financial services company might want someone able to perform pre and post-trade analysis along with developing forecasting metrics. Researching trading strategies supported by hard mathematical data is another typical job function. In some cases, they might leverage machine learning as part of this work. Companies need to look for at least 3-5 years of experience performing job duties like these.
Want to Learn More?
If your company wants to hire a quant, connect with the experienced team at The CERES Group. As one of the top FinTech staffing agencies in Boston, we provide the top-ranked candidates to help your company’s success. Schedule a meeting with us at your earliest convenience.