Financial risk analyst: responsible for evaluating and managing various risks in the financial market, such as market risk, credit risk and operational risk. Using mathematical models and statistical methods, data analysis and risk prediction are carried out, and corresponding risk management strategies are put forward.
Quantitative analyst: use advanced mathematics and statistical modeling technology to analyze a large number of data in financial markets and formulate and optimize quantitative trading strategies. By constructing mathematical models and algorithms, we can find out the price differences and trading opportunities in the market, and carry out quantitative trading and asset management.
Financial Engineer: Using the knowledge of mathematics, finance and computer science, design and develop pricing models and risk management tools for financial products and derivatives. Responsible for the construction of complex mathematical models and the research and development of financial engineering and financial innovation.
Data analyst: In financial institutions or research institutions, he is responsible for extracting information and opinions about financial markets from big data. Using statistics and data mining technology, this paper analyzes the trends, patterns and laws of financial markets to provide support for investment decision-making and risk management.
Financial Market Strategist: Based on in-depth understanding of financial markets and data analysis, make portfolio strategies and trading decisions. Combining mathematical models and quantitative methods, we can evaluate market trends, formulate trading strategies, and pursue the balance between investment return and risk control.
Financial consultant: providing clients with consulting services in financial investment, financial management and risk management. Using the knowledge of mathematics and statistics, we can analyze customers' needs and risk preferences, and make personalized investment plans and strategies for customers.