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After studying 300 Leetcode Hards, solving every Jane Street puzzle from the Dwarkesh ads, and watching one Horace He lecture, he finally landed the $400k annualized Jane Street internship. Unfortunately, during onboarding his manager said “this diff is negative alpha,” so Jane Street deployed an AI model to translate... show more

SemiAnalysis

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137,241 次观看 • 3 个月前 •via X (Twitter)

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Met a guy making $1.4 million/year as a Jane Street quant. No MIT. No Stanford. No hedge fund background. I asked him how he broke into quant from scratch. He sent me the exact video that got him in. Jane Street's 3-hour course on becoming a quant. Covers everything from interviews to building real quant strategies. You won't find anything better about becoming a quant than this video. I watched it last night. Halfway through, I realized I could break into Jane Street in months, not years. Bookmark this and read the article below. • 00:00 - what Jane Street quant does • 08:10 - the language of quants • 1:14:47 - Jane Street trading interview • 1:40:30 - Jane Street SWE interview • 2:17:54 - building ML systems as a quant

Met a guy making $1.4 million/year as a Jane Street quant. No MIT. No Stanford. No hedge fund background. I asked him how he broke into quant from scratch. He sent me the exact video that got him in. Jane Street's 3-hour course on becoming a quant. Covers everything from interviews to building real quant strategies. You won't find anything better about becoming a quant than this video. I watched it last night. Halfway through, I realized I could break into Jane Street in months, not years. Bookmark this and read the article below. • 00:00 - what Jane Street quant does • 08:10 - the language of quants • 1:14:47 - Jane Street trading interview • 1:40:30 - Jane Street SWE interview • 2:17:54 - building ML systems as a quant

Roan

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Jane Street pays $750k/year for engineers who build AI trading systems from scratch. This 15-minute talk by Jane Street senior engineer shows the exact system behind a $750k/year skillset. here's what he covers: • why generic AI fails at a top trading firm • custom models trained on their own trading code • real-time grading of every AI-written change • one AI engine across the whole trading desk most retail traders are still using generic AI tools - while the top hedge funds train their own models Watch this video then read article below

Jane Street pays $750k/year for engineers who build AI trading systems from scratch. This 15-minute talk by Jane Street senior engineer shows the exact system behind a $750k/year skillset. here's what he covers: • why generic AI fails at a top trading firm • custom models trained on their own trading code • real-time grading of every AI-written change • one AI engine across the whole trading desk most retail traders are still using generic AI tools - while the top hedge funds train their own models Watch this video then read article below

Movez

23,077 次观看 • 3 个月前

My friend applied to 100+ quantitative researcher jobs in two years. No PhD. No callbacks. Few days ago Jane Street offered him $600,000. The thing that helped him the most was this master class by IMC, one of the biggest HFT market makers in the world. Free on YouTube. One hour. Their head of alpha research explains how top trading firms actually build their models. Not the YouTube tutorial version. The real one. He watched it on a Sunday. Paused it nine times. After that hour he told me something I didn't believe. "It's embarrassingly simple." Three days later he applied to Jane Street. Every single question they asked him, he knew from that video.

My friend applied to 100+ quantitative researcher jobs in two years. No PhD. No callbacks. Few days ago Jane Street offered him $600,000. The thing that helped him the most was this master class by IMC, one of the biggest HFT market makers in the world. Free on YouTube. One hour. Their head of alpha research explains how top trading firms actually build their models. Not the YouTube tutorial version. The real one. He watched it on a Sunday. Paused it nine times. After that hour he told me something I didn't believe. "It's embarrassingly simple." Three days later he applied to Jane Street. Every single question they asked him, he knew from that video.

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bella

20,268 次观看 • 1 年前

Mrityunjoy Chakraborty, IIT Kharagpur professor: "Jane Street pays a 22 year old $500,000 a year for one skill: turning uncertainty into a number you can bet on. that number is the first thing this professor teaches, and it is free" this free lecture is the foundation every quant bot and hedge fund model is secretly built on. before the AI, before the strategy, there is one question. what is the chance this happens, exactly. get that number right and every bet after it is just math. get it wrong and no model, no bot, no amount of compute can save you. Chakraborty builds probability from the axioms up, on a blackboard, in notation a 15 year old can follow. Wall Street sells this as a $500,000 edge. an IIT professor hands you the source code for nothing.

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This young man setups locations every week to help feed the needy. He raises money and awareness on social media and in turn he uses it to help the less fortunate, he does this all the time, it is his calling. On this day, someone had called the police to report him blocking the street. The police arrive and tell him he needs to immediately leave and setup elsewhere. As much as I support helping others, I have to side with the cops on this one. Having people wait in the line in the middle of an active residential street isn’t safe. Maybe he couldn’t have setup in a park or a parking lot even. So are we all in agreement that for the wrong reason, the officer was right in this case?

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156,413 次观看 • 5 个月前

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Goshawk Trades

132,016 次观看 • 13 天前

EDGE REVEALED: How an Ex-Jane Street Trader Finds Edge in Markets & Life Agustin Lebron Agustin Lebron (former Jane Street trader, author of The Laws of Trading, now working at an AI startup applying reinforcement learning to market execution) breaks down what edge really means — and how to find yours in trading, careers & life. “Edge is something that either you know or you can do that the marginal participant in that market either doesn’t or can’t.” We cover: - What edge actually means & how Jane Street builds organizational edge (their worst skill is still "pretty decent") - Why you can never truly know if you have edge — the statistical vs intuitive approaches - The consolidation of quant trading: from dozens of options firms to a handful of giants - The gamblification of everything — retail trading, sports betting & prediction markets fueling quant profits - What it was like having Sam Bankman-Fried (SBF) as a Jane Street intern: "Day one, I'm going to ask all the questions" - How to apply edge thinking to your own career: find what you're differentially good at - Raising teenagers in the AI age: why the traditional path still works, but other paths are opening up 00:00 Introduction 00:44 What is edge in financial markets 01:43 Jane Street and organizational structures for quant trading 03:46 Identifying and validating edge in trading 06:22 Navigating extreme market events and volatility 09:37 Future of quant trading and consolidation 12:15 Why quant firm profits have increased 14:42 The gamblization of everything 15:55 Who should pursue a career in quant trading 18:19 Applying the concept of edge to career and life decisions 20:56 Advice for interns to excel in quant trading 23:44 Predicting long-term success in trading interns 25:08 Sam Bankman-Fried as an intern and FTX reflections 28:15 Reasons people leave Jane Street and what they do next 31:19 Advice for young people in a changing world 36:09 Navigating job insecurity in tech-driven roles 38:55 Where to live if you want to be successful 40:28 Raising kids for a rapidly changing future 42:55 Questions young people should ask themselves 44:45 Outro and book recommendation

EDGE REVEALED: How an Ex-Jane Street Trader Finds Edge in Markets & Life Agustin Lebron Agustin Lebron (former Jane Street trader, author of The Laws of Trading, now working at an AI startup applying reinforcement learning to market execution) breaks down what edge really means — and how to find yours in trading, careers & life. “Edge is something that either you know or you can do that the marginal participant in that market either doesn’t or can’t.” We cover: - What edge actually means & how Jane Street builds organizational edge (their worst skill is still "pretty decent") - Why you can never truly know if you have edge — the statistical vs intuitive approaches - The consolidation of quant trading: from dozens of options firms to a handful of giants - The gamblification of everything — retail trading, sports betting & prediction markets fueling quant profits - What it was like having Sam Bankman-Fried (SBF) as a Jane Street intern: "Day one, I'm going to ask all the questions" - How to apply edge thinking to your own career: find what you're differentially good at - Raising teenagers in the AI age: why the traditional path still works, but other paths are opening up 00:00 Introduction 00:44 What is edge in financial markets 01:43 Jane Street and organizational structures for quant trading 03:46 Identifying and validating edge in trading 06:22 Navigating extreme market events and volatility 09:37 Future of quant trading and consolidation 12:15 Why quant firm profits have increased 14:42 The gamblization of everything 15:55 Who should pursue a career in quant trading 18:19 Applying the concept of edge to career and life decisions 20:56 Advice for interns to excel in quant trading 23:44 Predicting long-term success in trading interns 25:08 Sam Bankman-Fried as an intern and FTX reflections 28:15 Reasons people leave Jane Street and what they do next 31:19 Advice for young people in a changing world 36:09 Navigating job insecurity in tech-driven roles 38:55 Where to live if you want to be successful 40:28 Raising kids for a rapidly changing future 42:55 Questions young people should ask themselves 44:45 Outro and book recommendation

Ethan Kho

214,514 次观看 • 6 个月前

Goldman Sachs headhunted this guy straight out of university at 20 He turned $25M into $400M JP Morgan, Goldman, and Lehman Brothers were all chasing the same trader In 27 minutes he reveals the 5 things that made every top fund on Wall Street want him The core of all 5 comes down to one thing: He never bet on a single view He combined weak signals into one high-conviction position and sized it correctly every time Spend 30 mins watching video, then 15 mins reading article to change your life forever

Goldman Sachs headhunted this guy straight out of university at 20 He turned $25M into $400M JP Morgan, Goldman, and Lehman Brothers were all chasing the same trader In 27 minutes he reveals the 5 things that made every top fund on Wall Street want him The core of all 5 comes down to one thing: He never bet on a single view He combined weak signals into one high-conviction position and sized it correctly every time Spend 30 mins watching video, then 15 mins reading article to change your life forever

Atlas

31,419 次观看 • 3 个月前

A codebreaker made $31 billion. he returned 66% a year for thirty years. Buffett averaged 20%. Soros averaged 30%. nobody came close. he gave one lecture about it at MIT. Wall Street has spent forty years trying to reverse-engineer what he said. he didn't hire traders. not one MBA. not one analyst. he hired physicists, astronomers, and Cold War cryptographers. he ran the fund from a strip mall on Long Island. his name is Jim Simons. the Medallion Fund made more money than Goldman Sachs most years. he never explained how. the part nobody talks about: the same pattern recognition he used to crack Soviet codes for the NSA is what he used to crack financial markets. he said it in this lecture. nobody in finance picked it up. a quant at a multi-billion dollar fund told me they play this for every new hire on day one. not a textbook. not a model. a 45-minute talk from a man who beat Buffett, Soros, Dalio, and every hedge fund alive. $31 billion. one formula. zero finance people. Goldman, JPMorgan, Citadel, Bridgewater. he beat all of them. from a strip mall. the lecture is free. he died the following year. it is in the video.

A codebreaker made $31 billion. he returned 66% a year for thirty years. Buffett averaged 20%. Soros averaged 30%. nobody came close. he gave one lecture about it at MIT. Wall Street has spent forty years trying to reverse-engineer what he said. he didn't hire traders. not one MBA. not one analyst. he hired physicists, astronomers, and Cold War cryptographers. he ran the fund from a strip mall on Long Island. his name is Jim Simons. the Medallion Fund made more money than Goldman Sachs most years. he never explained how. the part nobody talks about: the same pattern recognition he used to crack Soviet codes for the NSA is what he used to crack financial markets. he said it in this lecture. nobody in finance picked it up. a quant at a multi-billion dollar fund told me they play this for every new hire on day one. not a textbook. not a model. a 45-minute talk from a man who beat Buffett, Soros, Dalio, and every hedge fund alive. $31 billion. one formula. zero finance people. Goldman, JPMorgan, Citadel, Bridgewater. he beat all of them. from a strip mall. the lecture is free. he died the following year. it is in the video.

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17,622 次观看 • 15 天前

Did Proctor just admit to a dirty investigation? Last night on 20/20, Proctor said the moment he knew John was hit by Karen's SUV was at the hospital when he saw that John only had on one shoe. He knows from experience that if the other shoe is on the street, that is likely the point of impact, meaning he was hit by a car on the street. The problem with that statement is that Michael Proctor went to the hospital to see John at 1pm. At that time, he had not yet visited the crime scene. He had no idea where the other shoe was, and for all he knew, the shoe was inside the house. He then had Karen's SUV towed from Dighton at 4:30pm. The other shoe wasn't found on the street until 6pm by the SERT team. So, he knew at 1pm that at 6 pm, they would find the other shoe on the street, amd he should have Karen's SUV towed an hour and a half earlier so they have the vehicle in custody??? OK, got it.

Did Proctor just admit to a dirty investigation? Last night on 20/20, Proctor said the moment he knew John was hit by Karen's SUV was at the hospital when he saw that John only had on one shoe. He knows from experience that if the other shoe is on the street, that is likely the point of impact, meaning he was hit by a car on the street. The problem with that statement is that Michael Proctor went to the hospital to see John at 1pm. At that time, he had not yet visited the crime scene. He had no idea where the other shoe was, and for all he knew, the shoe was inside the house. He then had Karen's SUV towed from Dighton at 4:30pm. The other shoe wasn't found on the street until 6pm by the SERT team. So, he knew at 1pm that at 6 pm, they would find the other shoe on the street, amd he should have Karen's SUV towed an hour and a half earlier so they have the vehicle in custody??? OK, got it.

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121,320 次观看 • 1 年前

🔥🤣 REMEMBER WHEN I SAID DAWOKEFARMER WOULD GO INTO HIDING & LIKELY FLEE THE STATE OUT OF FEAR OF ARREST? He just posted “GET IN THE STREETS NOW PEOPLE ITS TIME TO SHUT THIS COUNTRY DOWN..PLEASE AMERICANS” LOL All his video the past 24 hours now are w/ a plain white wall Background now. If he’s so brave why is he OUT IN THE STREET ANYMORE?

🔥🤣 REMEMBER WHEN I SAID DAWOKEFARMER WOULD GO INTO HIDING & LIKELY FLEE THE STATE OUT OF FEAR OF ARREST? He just posted “GET IN THE STREETS NOW PEOPLE ITS TIME TO SHUT THIS COUNTRY DOWN..PLEASE AMERICANS” LOL All his video the past 24 hours now are w/ a plain white wall Background now. If he’s so brave why is he OUT IN THE STREET ANYMORE?

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🏙️ A man decides to finally drone-map one of the wealthiest and most private cities in America — North Oaks, Minnesota, the only unmapped city left in the country. After he posts the footage, the city sends him a legal letter accusing him of invading their privacy and telling him never to return. He then discovers something that completely flips the script: the city has been using Flock surveillance cameras at every single entrance and exit, tracking every vehicle that comes and goes. This double standard launches him into a two-month deep dive into America’s massive surveillance system. In the end, he removes all his Street View images from Google Maps — except for one drone selfie of himself — and immediately re-uploads the rest to an open-source mapping platform. These kinds of privacy hypocrisies always reveal the real story.

🏙️ A man decides to finally drone-map one of the wealthiest and most private cities in America — North Oaks, Minnesota, the only unmapped city left in the country. After he posts the footage, the city sends him a legal letter accusing him of invading their privacy and telling him never to return. He then discovers something that completely flips the script: the city has been using Flock surveillance cameras at every single entrance and exit, tracking every vehicle that comes and goes. This double standard launches him into a two-month deep dive into America’s massive surveillance system. In the end, he removes all his Street View images from Google Maps — except for one drone selfie of himself — and immediately re-uploads the rest to an open-source mapping platform. These kinds of privacy hypocrisies always reveal the real story.

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This is Prinnie. She was a tiny puppy when she met John he crossed the road to say hi and she ran straight to him like she already knew him. He’d just moved into the nursing home up the street and said all he wanted was some company, so they started visiting. Three years later she still sprints to him every single time… pls don’t pass without leaving a big heart ❤️ for them .

This is Prinnie. She was a tiny puppy when she met John he crossed the road to say hi and she ran straight to him like she already knew him. He’d just moved into the nursing home up the street and said all he wanted was some company, so they started visiting. Three years later she still sprints to him every single time… pls don’t pass without leaving a big heart ❤️ for them .

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315,083 次观看 • 2 个月前