“My mentoring session with Andre was extremely valuable and gave me the clarity and direction I needed at an important stage of my application journey. He was kind, approachable, and generous with his time, creating an atmosphere in which I felt comfortable sharing my experiences, asking questions, and discussing my doubts openly.
One of the most helpful aspects of our conversation was his guidance on how to organize and communicate my personal story. Andre helped me understand how to connect different experiences into a coherent narrative, identify the elements that matter most, and explain their significance more clearly. His perspective was fundamental in helping me see how to present my background with greater confidence, purpose, and authenticity.
I particularly appreciated his advice on what to avoid. He helped me recognize that including every detail does not necessarily make a story stronger, and that being selective can make a message much more effective. Our discussion gave me a clearer understanding of how to avoid unnecessary repetition, keep my narrative focused, and ensure that each part contributes something meaningful to the overall application.
Andre also provided valuable guidance on how to organize the application process itself. He helped me think more clearly about priorities, how to approach the different components, and how to make the work feel more manageable. Having a clearer structure has made a difference to my mindset: instead of seeing the applications as one overwhelming task, I now feel better equipped to approach them through specific, achievable steps.
Another important takeaway was his advice on how to use the coming days effectively. Our conversation helped me understand where to focus my energy, which tasks deserve immediate attention, and how to establish a realistic plan. I left the session with a stronger sense of direction and a better understanding of how to balance thoughtful preparation with consistent progress.
What made the experience positive was the combination of practical guidance and encouragement. Andre offered suggestions in a considerate and constructive way, helping me reflect on my choices while also making me feel supported. His kindness made it easier to engage honestly with the process and to see areas for improvement as opportunities to strengthen my applications.
Overall, this session was fundamental in helping me understand both what I want to communicate and how to move forward. I now have a clearer approach to telling my story, organizing my applications, avoiding common mistakes, and planning the next few days with intention.
I am very grateful for Andre’s support and for the care he brought to our conversation. His advice gave me useful tools, renewed confidence, and a more focused approach to the work ahead. I would highly recommend a session with him to anyone seeking thoughtful guidance, practical direction, and a supportive space to develop their application narrative. The session helped me turn uncertainty into a clearer plan, and I feel much more prepared to make the most of the time ahead and present my experiences in a meaningful and convincing way.”
less analysts and higher workload, you'll be spending the time pumping out more then fine tuning them when things are bad/hallucinated. Gonna be a lot of documents half-baked by an MD where all the formulas are absolute garbage and you'll have to write it from scratch
Can I see the link to source
17:36
thanks
I still believe manual labor would be better than using an AI model or any LLM model. I say this not because sure jobs might be more competitive than they already are for banking or because there will be less openings for banking but because these models can’t pick up the phone and talk to clients and walk them through what’s going on. Sure, there’s probably a MD who can do that but they probably have so much other things on hand that they wouldn’t have time to run the ops for this on their own. On top of that, banking requires a lot of personality and human like behavior imo… and an AI or generative model wouldn’t be able to act like so. Apart from that, I feel like manual labor is still more effective in terms of catching small or minor mistakes and gpt can be used as a verifier to catch anything small as well but not to build out a full blown out comprehensive model that can be inaccurate. It is only trained on past data, not current data, so cannot create projected valuations based on current market expectations unless the data is being constantly fed.
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