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13 min 34 sec
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My Life as a Quant: Reflections on Physics and Finance

A physicist's memoir of leaving particle theory for Goldman Sachs. It shows how financial models get built, why traders adopt some and ignore others, and why even the best ones are thought experiments, never laws.

Table of Content

If you work with spreadsheets, forecasts or models of any kind, you probably trust them a little more than you should. In My Life as a Quant, physicist turned Wall Street modeler Emanuel Derman tells how he learned that lesson the long way. After building models the industry still relies on, he concluded that financial models are not laws of nature. They are thought experiments: useful, partial, and always chasing a market made of people.

That idea is the thread running through this memoir. Derman moves from the dream of becoming the next Einstein to the humbler craft of making complicated things usable, and each turn says something about ambition, work and the limits of clever tools. Along the way you’ll hear how a fruit salad helped price exotic Japanese options, why the best career clue can hide inside a job you dislike, and why the phrase as if sits at the heart of his thinking.

A young physicist lands in New York dreaming of cracking the universe open. Seven years later he holds a doctorate and a very different idea of what it takes to produce knowledge.

Oxford, a wood-paneled office in New York, the Rocky Mountains. The posts kept changing, and loneliness kept coming back between the happier stretches, until Derman had to admit something about the whole life he had chosen.

Bell Labs meant timecards, fluorescent lights and a long commute, and Derman complained about it every evening. Yet the job handed him the one skill Wall Street would soon pay for.

A sharper formula is worthless if nobody on the trading floor will touch it. Working beside Fischer Black, Derman learned what makes a model useful, and why its most honest feature is admitting what it ignores.

After a punishing year at a rival firm, Derman came back to Goldman facing options tied to Japanese stocks and currencies at once. His way through came from physics and from the kitchen.

A strange pattern on a quiet Tokyo trading floor suggested that the industry’s favorite formula was missing something. Derman solved it elegantly, and the reaction taught him more than the solution did.

Derman set out to find the hidden laws of the universe and ended up building tools for traders who needed answers by lunchtime. His memoir is the portrait of a gifted person learning, one job at a time, what clever tools can and cannot do. Physics promised fundamental truths. Finance offered something messier: markets shaped by people, where the best model is the one honest about what it leaves out.

That honesty is what to keep. When you build or inherit a model at work, whether a pricing sheet, a sales forecast or a plan, ask what it assumes, the way Fischer Black called BDT an as-if model. Favor the version people can actually use, as traders used Bosco and Samurai, over the one that only impresses on paper. And when the stakes are real, think in ranges of futures and treat any single confident number with suspicion.

There is a personal thread too. Derman’s best work came after he let go of the Einstein dream and noticed what he enjoyed: writing code that made hard things simple. A model, like a career plan, is a thought experiment. It earns its keep by helping you think, not by telling you the future.

About this book

What is this book about?

In 1966 Emanuel Derman came to New York with the hope of becoming the next Einstein. Seven years of a Columbia physics PhD, a string of lonely postdocs and five frustrating years at Bell Labs later, he walked into Goldman Sachs in 1985 as one of the quants Wall Street was hiring to build pricing models. His memoir follows that second career from the inside. He builds Bosco for bond traders, works with Fischer Black and Bill Toy on the Black-Derman-Toy interest rate model, survives a bruising year at Salomon Brothers, simplifies exotic Japanese options with a fruit salad image and chases the volatility smile with Iraj Kani. Along the way, his trust in grand theories keeps shrinking. His conclusion is the book's lasting value. Financial models are not like physical laws. They are thought experiments for exploring a market made of people, and the craft lies in making them clear, usable and honest about what they assume. Readers get a rare look at how quantitative finance actually works. They also get a lesson for anyone who relies on forecasts, spreadsheets or plans, and for anyone wondering when to leave a career that no longer fits.

Book Information

Rating:

Genre:

Biographies & Memoirs, Economics

Topics:

Markets, Risk Management

Publisher:

Wiley

Language:

English

Narrator:

Hannah

First published:

January 1, 2004

Pages:

304

Length:

13 min 34 sec

Get the book:

Amazon

Who it's for

  • Building or using models

    Analysts, engineers and finance professionals who build or rely on models and forecasts.

  • Researchers wondering about industry

    Scientists and academics wondering whether their skills could carry them into industry.

  • Wondering how quants work

    Curious readers who want to see how Wall Street's quants actually work.

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About the Author

Emanuel Derman

Emanuel Derman was born in South Africa and trained as a theoretical physicist, earning his PhD at Columbia University. At AT&T Bell Laboratories in the 1980s he created programming languages for modeling business problems. From 1985 to 2002 he led quantitative research groups on Wall Street and became a managing director at Goldman Sachs in 1997. He co-created two widely used models, Black-Derman-Toy for interest rates and Derman-Kani for local volatility, and later directed the financial engineering program at Columbia.

Ratings & Reviews

Ratings at a glance

3.9

Overall score based on 17 ratings.

What people think

Listeners find this work to be an intriguing narrative that offers deep perspectives on physics and finance, especially noting its worth as a superb supplement to finance courses. Furthermore, the autobiography is skillfully composed and recounts stories poignantly, infused with plenty of humor. They value the high-quality information, with one listener pointing to the detailed discussions of quantitative analysis mechanics, while another observes how brainpower can be lucrative on Wall Street.

Top reviews

Sirinat

Rarely do you find a Wall Street memoir that quotes Schopenhauer and Blake with such sincerity. Derman’s journey from a frustrated theoretical physicist to a Goldman Sachs heavyweight is both poignant and intellectually stimulating. Truth is, the sections on his meandering postdoc years resonated more than the financial modeling, capturing that specific brand of academic heartbreak. He writes with a dry humor that balances out the inherent arrogance of the physics world he left behind. While the deep dives into the Black-Scholes model might alienate some, they provide essential context for how the 'quant' revolution actually functioned. It's an excellent companion to any finance course, offering more soul than a textbook.

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Plernpiriya

Derman is a master storyteller who manages to make interest rate modeling sound like a high-stakes adventure. The book isn't just about stocks; it’s about the evolution of a man who realized that pure science wasn't the only way to find intellectual fulfillment. I found the stories about his time under Fischer Black to be the highlights of the book. Not gonna lie, I actually learned more about the application of math in the real world here than in most of my undergrad courses. His humility—viewing himself as a 'fish out of water' despite his PhD—makes him a very relatable protagonist. A truly amazing book with great work-life learnings.

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Rania

Finally, a memoir that captures the 'quant' revolution without all the usual Wall Street bravado. Derman’s journey is one of constant learning, as he transitions from the lofty heights of theoretical physics to the gritty reality of the trading desk. The information quality is superb, particularly the detailed discussions on volatility and bond options. I found his description of the cultural shift—where a PhD is only as good as their latest model—to be very eye-opening. Personally, I think this is a must-read for anyone considering a career change. It’s poignantly written, deeply informative, and filled with a quiet, dry humor that stays with you.

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Dream

As a physics student myself, Derman’s description of the 'postdoc trap' felt incredibly authentic. He captures that bleak reality where you’re either the next Feynman or you’re essentially nothing in the eyes of the elite. The transition to Wall Street is handled with a wry modesty that I didn't expect from someone in his position. Personally, I loved the 'smile' anecdote regarding his potential advisor; it perfectly encapsulates the awkwardness of graduate school life. My only gripe is that the second half feels a bit like a catalog of achievements rather than a cohesive narrative. Still, it’s a fascinating look at how brainpower migrated from labs to the Street.

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Siriporn

Picked this up after reading some Michael Lewis, and it’s a completely different beast. Derman isn't looking to expose scandals; he’s recounting a life spent trying to find meaningful work that also pays the bills. The detail about Bell Labs and the development of Unix was a nice touch, showing the intersection of technology and finance. To be fair, he does get a bit technical when discussing his tenure at Goldman Sachs, but his writing is literate enough to carry you through. It’s a poignant reflection on how the 'smart young things' ended up on the trading floor. Definitely worth a read for anyone interested in the history of financial engineering.

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Moon

Wall Street isn't all about greed, and this book proves it. Derman shows how the flight of brains to the Street was often born of necessity and the stifling atmosphere of corporate labs like Bell. I loved the technical 'mechanics' of his work, which gave me a much deeper appreciation for the models that run our modern markets. The truth is, his writing style is surprisingly sophisticated for a quant; he weaves in literary references without sounding like a total snob. There were moments where the pacing slowed down during the interest rate sections, but the humor kept me going. It’s an excellent read for anyone who appreciates the marriage of physics and finance.

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Boss

It’s a bit of a mixed bag for the casual reader. In my experience, the first third of the book—the struggle of being a physics 'peregrinator'—was far more compelling than the actual quant work at Goldman. Derman is a fluid writer, but he often gets lost in the weeds of interest rate modeling and exotic options. Look, if you aren't interested in the mechanics of quantitative analysis, you might find yourself skimming the middle chapters. I appreciated his honesty about the creative stifling at Bell Labs, yet the final philosophical reflections felt a bit forced. It’s a solid 3-star read that could have used a more aggressive editor to trim the technical tangents.

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Jiraporn

The first half is brilliant, but the ending left me wanting more. Derman’s 'peregrinations' through the academic world are described with such vivid, painful detail that you can't help but root for him. However, once he gets to Goldman, the narrative shifts into a series of professional milestones that lack the same emotional punch. To be fair, the technical insights are top-notch for anyone in the industry, but they feel detached from the human element established earlier. He tries to make some big philosophical statements in the final chapter, but they fall a little flat. It’s a decent memoir, just a bit uneven in its pacing.

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Air

Not exactly what I expected, but interesting nonetheless. I was looking for a secret-to-success book, but this is much more of a somber reflection on a life lived between two worlds. The chapter about his search for a PhD advisor at Columbia was hilarious and awkward, reminding me of my own time in academia. Gotta say, though, the second half feels a bit like a diary of a desk job. It’s well-written, but if you don't have a baseline interest in financial engineering, the 'hype' around Black-Scholes might feel a bit boring. It’s a solid, thoughtful memoir that just happens to be about finance.

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Ooi

Maybe I just didn't get the hype. Frankly, the author comes across as incredibly elitist, expressing a weird scorn for experimentalists and solid-state physicists. While the story of his career shift is unique, the book feels like a long-winded way to justify why he 'sold out' to Wall Street. The technical discussions on price options theory are dense—it's like being in a lecture you didn't sign up for. I was hoping for more 'Liar's Poker' style drama and less philosophical hand-wringing about the Tangible World. If you aren't already obsessed with the Black-Scholes model in 'steroid mode,' this is probably a pass.

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Questions about this book

It is Emanuel Derman’s memoir of moving from theoretical physics to Wall Street. He describes a Columbia PhD, years of lonely postdocs, a frustrating stint at Bell Labs and then seventeen years building pricing and risk models at Goldman Sachs, with a year at Salomon Brothers in between. Running through it is his growing conviction that financial models are useful thought experiments, never laws of nature.

It is an interest rate model Derman built with Fischer Black and Bill Toy to value bond options. Borrowing the lattice idea from physics, it treats short-term rates as moving in separate steps and uses current bond prices and the yield curve to infer a range of future one-year rates. Black called it an as-if model, because it works as if the market cared only about short rates.

After decades in physics and finance, Derman concluded that financial models are unlike physical laws. They do not reveal truths about markets. They are thought experiments for exploring a complex, human reality. He sees quant work as a blend of art and science in which intuition, creativity and clear communication matter as much as mathematics, and he favors thinking about risk as a range of possible futures.

It suits people who build or depend on models, from finance professionals to analysts working with forecasts. Scientists and academics weighing a move into industry will recognize Derman’s restless postdoc years and his decision to leave. Readers curious about Wall Street get an insider’s view of how pricing tools such as Bosco, BDT and Samurai were built and why traders adopted or rejected them.

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My Life as a Quant

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