Robert Fink

How can you best grasp the economic implications of fed rate hikes and inflation to best adjust your trading and investment strategies?
How can you best analyze interest rate changes to track significant shifts and understand their impact on daily investment decisions?
How can you best understand Fed policy impacts on the fixed income market, risk-taking, and investment management?
How can you best monitor mortgage rate effects on market delinquencies and household debt service payments?
How can you best link productivity to inflation by understanding the relationship between higher productivity, inflation, and the risks associated with additional money creation?

What is the impact of increased competition on transparency and what are the similarities to pre-crisis subprime lending?
How are banks existing lending and creating opportunities for private credit?
What are the asset liability considerations in private credit?
Allocator perspectives: how can you use private credit to enhance core fixed income allocation and how are lines being blurred between public and private markets?

How can you identify new talent needs with strong quantitative skills, programming expertise, and cross-asset trading knowledge?
How can you adapt recruitment strategies to shift towards targeting candidates with experience in data analytics, machine learning, and algorithmic trading?
How can you enhance training programs and develop comprehensive training programs focused on data science, advanced analytics, and cross-asset strategies?
How can you foster a collaborative culture to encourage collaboration between traditional traders and data scientists to integrate diverse skill sets effectively?
How can you leverage technology in recruitment and utilize AI-driven recruitment tools to identify and attract top talent with the desired skill sets for cross-asset and data-driven trading desks?

Main Day 2 | 13th November