Dive into an insightful discussion with Brian from QuantLabs.net, as he takes us through the challenges and prerequisites of becoming a successful quant developer, the highly intriguing intersection of finance, math, and computer science. This episode is a comprehensive guide that unravels the essential skillsets, high-stakes industry expectations, and potential pathways for ambitious quant aspirants.

From mastering foundational knowledge in math and English, to proficient coding and impressive trading records, understand the key requirements to thrive in the industry, be it in major financial entities, startups, or small firms. Brian illuminates the rigorous educational prerequisites, emphasizing the need for a profound understanding of mathematical concepts, computer languages, financial markets and instruments, and risk and analytics management.

Understand the importance of participation in competitions, contributions to open-source projects, and showcasing coding abilities to enhance your career prospects. The podcast also conducts a comprehensive analysis of requisite tools such as Python, Excel, C++, MATLAB, FPGA, SQL, machine learning libraries like TensorFlow and PyTorch, and more. All while emphasizing the importance of soft skills, statistical model understanding, and prowess in programming and machine learning.

This illuminating examination concludes with a comparative analysis of quant developer’s salaries across various regions. From $118,000 in London to surprisingly lower figures in Canada and Singapore, discover the promising markets, factors affecting career moves, potential earnings, and prestigious firms like Citi and JP Morgan. Get insights into starting your own ventures, becoming a consultant, and resources for further learning. All this and more in this wide-ranging guide for aspiring quant developers!

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Know what I trade on my Substack Quantlabs Substack | Substack

Welcome to another episode of the Quantlabs podcast. In this episode, Brian delves into the exciting and ever-evolving world of Quant development as it applies to high-frequency trading (HFT). High-frequency trading is a complex and nuanced topic, but Brian brings it down to earth with practical insights and thoughtful commentary. He sheds light on the importance of retail trading bots, the innovative use of Discord and Telegram as trading platforms, and the rise of unique Cryptocurrency trading techniques.

Exploring High-Frequency Trading and Data Processing with DPDK - QUANTLABS.NET

One of the highlights of the episode is when Brian introduces us to the concept of Data Plane Development Kit (DPDK)—an intriguing open-source project that take centre stage in discussions around rapid packet processing. This segment not only clarifies what DPDK is and why it matters for high-frequency trading, but also explores the potential of using this library for high-speed data processing in large scale applications. A deep dive into the nuts and bolts of the open-source project, its licensing, users, functionality, and supported hardware follows.

The episode ends with an invitation for listeners to engage further on these topics via Discord or delving deeper with materials available on Substack. For those interested, Brian also generously offers access to free tech books he's written, available at quantlabs.net. This podcast provides a fountain of knowledge for anyone interested in the intersection of Quant development and high-frequency trading, regardless of their level of expertise.

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Know what I trade on my Substack Quantlabs Substack | Substack

Hello, everybody. Brian here from swanlabs.net. On March 25th, an insightful article was shared with me via my usual source. The piece originated from eFinancialCareers.com and reveled in the surprising new hiring trend within high-frequency trading firms: recruiting video game CEOs and former UBS directors.

Usually, these wouldn't be the people you'd expect leading the charge in high-frequency trading, but from an executive standpoint, it can make a lot of sense. It's interesting to note that pathways into a hedge fund or high-frequency trading are not always straightforward.

An individual to highlight in this unique hiring trend is Heath Newton, who joined Susquana as a software engineer. Having spent nine years at Bloomberg and thirteen years as the CEO of independent game studio INOVAE, Heath offers an unconventional background to this financial niche. Another mover in this space is Domenico Mangieri, who's pathway into Jump Trading was a little more traditional - starting in finance with an AI firm Altair before joining UBS and Morgan Stanley.

I found this development quite fascinating - these unusual hiring patterns opens up more interesting ways to enter the high-frequency trading industry. So, stay tuned, and don't forget to pay attention to my links for Discord, Substack, and the books I have on offer. Have a good day!

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Know what I trade on my Substack Quantlabs Substack | Substack

efinancialcareers.com/news/high-frequency-trading-engineer-video-games-ubs

Welcome to the latest episode of our podcast where host Brian from quantlabs.net speaks on the fascinating world of High Frequency Trading (HFT). A shout rests on his lips for his audience as he appreciates their unwavering support that's taken his podcast to new heights on both YouTube and various podcast networks. Brian retreats into the two areas his listeners crave - High Frequency Trading and Trading Systems.

Dive into the insights shared by Naveen Kumar Suppala, a Software Development Leader and Principal Global Quant, Research and Dev professional based out of India. Suppala brings to the table a series of articles filled with the golden nuggets of wisdom on key subjects such as the memory layout, HFT C++ core techniques, low latency programming, market order vs limit order backtesting, kernel bypassing in HFT, and more. A goldmine of valuable information awaits as we traverse through these various areas.

The journey doesn't stop here. Brace yourselves as we navigate through a Github repository filled with the intricate concepts of the Operating System (OS). Find out how some HFT shops customize the Linux kernel and build systems on top of these tailored operating systems. The repository covers diverse areas such as hardware basics, the layers involved in an OS, task scheduling, multitasking issues, synchronization objects, and much more aimed at enhancing your understanding of the OS nuances.

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Know what I trade on my Substack Quantlabs Substack | Substack

A call to action from Brian invites you to engage in insightful discussions over on his Discord channel, receive updates about his trading on Substack, and explore the trading books via quantlabs.net. Dive into the episode to amplify your knowledge on High Frequency Trading and Trading Systems!

A Deep Dive into Techniques, Tools, and Systems - QUANTLABS.NET

linkedin.com/in/naveensuppala/recent-activity/articles/

github.com/braboj/tutorial-os?tab=readme-ov-file#operating-systems

Hello everyone! In this episode, our host, Brian from quantlabs.net, dives into a discussion regarding the upcoming book, "C++ High Performance for Financial Systems," by Ariel Silihan. Throughout the podcast, Brian provides an overview of the book and shares his opinions about the chosen publisher, PACT.

The book promises to guide experienced programmers seeking to break into the finance industry by teaching them how to build high-performance trading systems. It covers subjects such as system design and architecture, low latency strategies, risk management, and machine learning. Although the author is highly capable, Brian presents some concerns about the publishing company's credibility as it has been criticized for its lack of editorial contribution.

Brian also talks about the inherent challenges in teaching these complex concepts through a book, given the rapidly evolving landscape of this field. He also provides some insights on what it takes to gain a real competitive edge beyond what one can learn from such books.

It's suggested that the book is primarily intended for experienced C++ developers looking to enter the finance industry and anyone interested in creating scalable, robust trading systems. Familiarity with C++, basic understanding of finance, and trading concepts is assumed for readers.

reddit.com/r/cpp/comments/1bjkkos/c_high_performance_for_financial_systems/?rdt=64280

amazon.ca/High-Performance-Financial-Systems-leveraging-ebook/

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Know what I trade on my Substack Quantlabs Substack | Substack

Although the helpfulness of the book is still to be determined, Brian extends an invitation to discuss the subject further in his Discord community. Listen to the podcast to get a full understanding of Brian's take on this upcoming release, and don't miss his recommendations for learning and trading!

Welcome everyone to another episode with Brian from QuantLabs.net. Our topic today is the striking performance of systematic hedge funds in the first quarter of 2024. We delve into a recent article from Hedgeweek.com revealing their significant outperformance against other strategies under erratic markets triggered by geopolitical tensions.

These hedge funds, which use algorithms to find investment-worthy market trends, have seen a nearly 9% gain in the first two months, far surpassing the wider 2.6% average, drawing from data offered by Barclays Prime Brokerage Division. This observation aligns with our own analysis, which has identified particular sectors that have outperformed the S&P 500.

However, not all is smooth sailing, the current American market is heavily skewed, notably by NVIDIA. As we explore instruments to invest in, we emphasize prioritizing low volatility to avoid large drawdowns, which can jeopardize your performance. Hence, it is crucial to design a system that will enable you to find a consistent metric for your volatility threshold, ensuring you invest only into suitable instruments.

Despite the volatility of the global market, which impacts different regions and assets differently, the use of systematic strategies results in appreciable gains when greater risk is embraced. Nevertheless, even those funds with lower risk thresholds have also made substantial gains. Lastly, we stress the importance of not basing your trading on opinion or hunches, but on data and strategies instead.

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Know what I trade on my Substack Quantlabs Substack | Substack

To stay updated with my trading insights and engagement, feel free to join our Discord community, check out my Substock page, or sign up for our insightful newsletter. All of the details will be in the description. Thanks for tuning in!

Systematic Strategies Shining - QUANTLABS.NET

https://www.hedgeweek.com/systematic-hedge-funds-shine-in-q1/

In this podcast episode, Brian discusses the evolution and appeal of various programming languages, particularly Java and Python, and their roles in the development of robust, enterprise-level applications. Drawing from his extensive experience, Brian shares why Java's "write once, deploy anywhere" feature, vast standard library, strong community support, and mature ecosystem make it a popular and reliable choice for developers. He impresses upon the unique aspects that separate Java from Microsoft technologies - its independence and diversity of features.

In this fascinating episode, Brian delves into the latest advancements in the tech world, focusing on Microsoft's new technological wonder – AutoDev. This AI-driven software development framework is designed to transcend traditional code assistance tools, marking a leap towards more autonomous, efficient, and secure development methodologies.

Go here to see the question.

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However, Brian also stresses on the emerging power of Python and its growing significance in the realms of cloud computing and machine learning. The transition from Java to Python presents challenges - from the intricacies of upgrading the Python interpreter to the after-effects of deprecated libraries that could potentially disrupt the existing code.

Java vs. Python - A Multifaceted Take on Programming Languages - QUANTLABS.NET

Our conversation also branches out to the wide array of programming languages, such as JavaScript, Kotlin and C++. The pros and cons of these languages are discussed, touching on lively debates from coding subreddits. Particular attention is given to web application development technologies, including Spring Boot, React, Next, Flask, Django, and Fast API. It provides a balanced analysis, showcasing how JavaScript dominates on the front end while Python flexes its flexibility.

Delving into the multifaceted world of coding and exposing the constant evolution, the episode offers effective strategies programmers can adopt to stay relevant. The podcast concludes with insights on using excel in Java's open-source project and extends an invitation to the audience to continue the conversation on our discord server.

Welcome back, everyone. This is Brian from quantlabs.net. In today's podcast, we're diving deep into the world of hedge fund internships, particularly the ones offered by Steve Cohen's Hedge Fund, Point72. These aren't your average internships. According to an article from efinancialcareers.com, the Quibus Systematic Strategies team at Point72 is paying Quant interns a whopping $25,000 per month.

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This might sound out of the ordinary, but from my experience working with the Canada Pension Plan Investment Board (CPBIB), I can confirm that top-tier organizations are willing to pay top dollar for talented interns. CPBIB, regarded as a prestigious firm in Canada, was known to pay University of Waterloo interns quite generously.

High-Paying Opportunities In Trading - QUANTLABS.NET

But coming back to Point72, it's not just about the money. Their internships are also tremendous opportunities for career advancement and learning cutting-edge technologies. The K-E-P-L team specializing in trading medium-frequency statistical arbitrage strategies is particularly interesting, promising lucrative careers meriting competitive pay.

In 2020, their Quantitative Research Internship exclusively for PhD candidates offered a base salary between $250,000 and $300,000. This is just the base pay, not including bonuses which can catapult some interns into the million-dollar earning bracket. The bar had been set high last year when a quant teacher was offered a $300,000 case.

If you're vying for a top spot in these hedge fund internships, understanding Python, C, or C++, among other languages, is essential. These opportunities aren't just limited to PhD candidates. Undergrad student positions are also available, promising a minimum salary of $240,000.

Interested in such quant internships or want to share your thoughts? Visit my substack to engage in insightful discussions or check out the quantlabs.net/books to get your hands on some useful trading tech books. Thanks for tuning in!

In this fascinating episode, Brian delves into the latest advancements in the tech world, focusing on Microsoft's new technological wonder – AutoDev. This AI-driven software development framework is designed to transcend traditional code assistance tools, marking a leap towards more autonomous, efficient, and secure development methodologies.

Go here to see the question.

Join our Discord for quant trading and programming

news https://discord.gg/k29hRUXdk2

Get our free trading tech books here books2 – QUANTLABS.NET

Listen as he breaks down how AutoDev empowers AI agents to manage a broad spectrum of software engineering tasks independently. From intricate code editing and comprehensive testing to advanced Git operations, this framework is sweeping the tech world with its robust capabilities.

Microsoft's AI-Driven Framework – AutoDev - QUANTLABS.NET

Brian also discusses the shift in the industry as AI takes a central role, allowing developers to concentrate on higher-level strategic tasks. Learn about the rigorous evaluations AutoDev underwent and its impressive results – achieving a first-pass success rate of 91.5% for code generation and 78% for test generation.

Discover how this level of automation is redefining AI-driven software engineering, setting new standards in the industry. In addition, Microsoft's other offerings, like the free Artificial Intelligence for Beginners course and Microsoft Student Learn Ambassadors program, are also highlighted in this informative episode.

Step into the world of hedge funds and quantitative finance with Brian in this riveting podcast episode from quantlabs.net. The episode kicks off with a comprehensive discussion on the basics of getting a job in a hedge fund: from academic prerequisites to critical soft skills and technical know-how. Expect an insightful walk-through on necessary certifications such as CFA, MBA, FRM, and a sneak peek on job opportunities in high-profile locations like England.

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Don’t forget to subscribe to my Substack for more trading tips and strategies! Let’s keep learning and growing together. https://quantlabs.substack.com/

This episode also offers a candid view on the fiercely competitive job market and strategies to stay ahead. From marketing oneself as a brand through platforms like GitHub to the importance of internships, Brian expands on emerging opportunities and the constantly changing nature of the finance industry. With banks evolving into technology companies and Goldman Sachs hiring coders, avenues for diverse skill sets are opening up in this sector.

Transitioning to discussions on hedge funds, the episode shares a list of leading hedge funds, different job roles, and the corresponding compensation packages you can expect. While cautionary tales of the high-pressure and cut-throat work environment underscore the industry's complexity, the chance to work with diverse asset classes and network with talented professionals, make for a rewarding career choice.

A Glimpse into Hedge Fund Jobs and the World of Quantitative Finance - QUANTLABS.NET

Finally, the episode winds up with an exploration of the different types of quantitative analysts in banks, prop shops, and hedge funds. From traders and researchers to financial engineers and developers, the roles are diverse, each with its unique challenges and learning curves. Tune in for an upfront conversation on what to anticipate in the rapidly evolving world of quantitative finance.