Financial Technology
The Financial Technology sector uses technology to improve financial services, covering areas like digital payments, blockchain, and online lending. Analysts in this sector study market trends, assess tech innovations and provide insights on growth opportunities and risks in the evolving financial landscape.
Pharmaceuticals & Biotechnology
The Healthcare sector spans pharmaceuticals, medical devices, and healthcare services. Analysts study medical advancements, regulatory impacts, and demographic trends to identify growth areas and investment risks.
Technology, Media, and Telecommuncations
TMT covers tech-driven industries like software, media, and telecommunications. Analysts evaluate new trends, such as streaming, cloud computing, and 5G, to identify investment opportunities and forecast industry growth.
Real Estate Investment Trusts
This sector involves Real Estate Investment Trusts (REITS) and property development. Analysts examine market trends, property valuations, and economic factors to assess investment opportunities in commercial and residential real estate.
Consumer Products
The Consumer Retail sector includes companies that sell goods and services to individuals. Analysts track consumer spending, e-commerce trends, and brand performance to understand market dynamics and growth potential.
Utilities, Renewable Energy, and Transportation
The Energy & Infrastructure sector includes utilities, renewable energy, and transportation infrastructure. Analysts evaluate energy trends, regulatory changes, and investment in sustainability to understand sector growth and stability.
Bruin Algorithmic Insights
Bruin Algorithmic Insights (BAI) is a subdivision of BFB focused on technical applications in the financial industry. Members of BAI get extensive training on appropriate coding, machine learning, and data analysis skills to be prepared to break into the quantitative analysis or fintech industry. BAI members get hands-on experience with a variety of projects including portfolio optimization, nlp of financial statements, and ML on financial data.
