Data scientists are in high demand. They manage and analyze large amounts of complex data using mathematical models to find recurring trends and behaviors. Within a company, the data scientist’s job is to guide strategic decision-making and improve the services it offers to clients. To do this, the data scientist must lean on their solid background in statistics as well as their mastery of different programming languages (such as Python, R, SAS, etc.). 

Statistical researchers collect large amounts of data, then synthesize and process them to make them understandable to as many people as possible. 

They can hold a variety of different roles within a company, from developing software to perform data analysis to identifying different approaches to problem solving. Statistical researchers often work for an opinion institute, a marketing firm, or a laboratory. 

Actuarial analysts can be responsible for several cross-sector activities, including actuarial science, audit/control, and management control, and they use their expertise to price health, retirement, and savings contracts. 

Their main job is to use statistical data to create and monitor contracts in order to control the amount of risk to which the company is exposed, and to use policyholders' premiums to safeguard the equilibrium of company. 

Market researchers play an important role in launching new advertising campaigns. They use statistical data to ascertain the state of the competition and the desires of the consumer in order to create the most appropriate marketing strategy. 

They may create questionnaires and surveys and report their results. They are also called upon to assess the financial risk associated with a poorly calibrated advertising campaign so that they can anticipate lackluster results post-launch. 

Quantitative analysts are generally attached to a company R&D division, and their role is to develop and adapt mathematical models to evaluate the price of derivative products and to protect themselves from the risks thereof. Quants can be responsible for a number of areas, including programming, validating models, or creating new models. 

Data scientists are in high demand. They manage and analyze large amounts of complex data using mathematical models to find recurring trends and behaviors. 

Within a company, the data scientist’s job is to guide strategic decision-making and improve the services it offers to clients. To do this, the data scientist must lean on their solid background in statistics as well as their mastery of different programming languages (such as Python, R, SAS, etc.). 

Structuring associates are responsible for developing complex financial products called derivatives based on stocks or bonds. They usually specialize in one type of product. Once the products have been developed, structuring associates employ complex mathematical models to price them before they go on the market. 

Financial controllers draw up provisional budgets and develop the necessary tools to monitor their performance. They collaborate on the creation of a department or company’s strategic goals and use the tools they have created to monitor their implementation. The financial controller may be charged with company accounting, finance, administration, or personnel management.