Here are a few prop firms known to take this approach: IF YOU WANT TO GET IN I CANT WAIT TO GET AWAY SAY THIS AGAIN 👑👑 😉😘💸🌍😸💯😘 BE PREPARED .. - Quantopian - Well-known online quant firm that funds new algorithmic/quant traders based on passing a multi-stage exam process and coding evaluation. No track record needed. - Hedgemine - Quantitative prop firm that provides online exams testing math/programming skills. Successful candidates invited to trading interview without proven returns. - Worldquant - Global quantitative trading firm that recruits pure quants through technical phone interviews testing math/programming aptitude over trading history. - Tower Research Capital - Major high-frequency trading firm recruiting new traders through competitive online screening exams evaluating skills/knowledge over past results. - Capital Fund Management - Paris-based quant firm recruiting algorithmic traders at entry-level through evaluations of coding/model building skills through online exams. - Progressive Trader - Chicago-based prop firm funding new traders who can pass their detailed series of online trading challenge exams on concepts over track record. - XTX Markets - London high-speed market making firm screening new trader candidates based on aptitude tests over years of experience or education background. So firms catering specifically to quant/algo trading or those focused more on aptitude than experience do evaluate new traders based mainly on exhaustive testing processes when considering funding without an established track record.
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Hudson River Trading is a multi-asset class quantitative trading firm, that pays a median bonus of $100,000 dollars and a Medin salary of $200,000 for Quant role. Here is an Interview question asked in their Quant role Interview Romeo and Juliet have a date at a given time, and each will arrive at the meeting place with a delay between 0 and 1 hour, with all pairs of delays being equally likely. The first to arrive will wait for 15 minutes and will leave if the other has not yet arrived. What is the probability that they will meet? Solution - Let the point (x,y) mean that Romeo arrives at x time, and Juliet arrives at y time. The sample space is the unit square since 0≤x,y≤1 Let A be the event that Romeo and Juliet meet, A is the subset of points (x,y) satisfying |x−y|≤0.25 and lying inside the unit square. If x≥y then x≤y+0.25⟹y≥x−0.25. If y≥x then y≤x+0.25 Thus event A consists of all points in the unit square satisfying y≥x−0.25 when x≥y and y≤x+0.25 when y≥x. Graphing this set of points and calculating its area (divided by the area of unit square = 1) will yield the answer 7/16 For more such questions along with their solutions, check out Quant Insider Stack. Kickstart your Quant Interview Prep with Quant Insider. Check out Quant Insider Stack - https://lnkd.in/gcfdUEfg A Bundle of Interview Byte, Quantopia Library, and Quant Insider Project Handbook with Bonus Resources. ‘Interview Byte’ contains 1000+ Interview questions (https://lnkd.in/gkqcrrKf) Quantopia Library is the goldmine for building your domain knowledge and technical skills. (https://lnkd.in/geThBB4d) Quant Insider Project Handbook has 10 industry-oriented projects based on challenges and competitions conducted by Top HFTs and Hedge Funds. (https://lnkd.in/gWBEn78U) For more quant finance memes follow us on Instagram - Quant Insider (https://lnkd.in/gfjc4hBu) Connect with Quant Insider on other platforms as well https://lnkd.in/gpu4GKzE
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Executive Director, Quant Manager, Electronic Rates Trading, Oxford Graduate, Board Member, Author, Pilot
How to make a career in algorithmic trading by Interactive Brokers (IB). The article includes a section on the different types of Quants. The advent of algorithmic trading in the late last century caused a massive “techtonic shift” in the way trading took place in exchanges worldwide. This is a perfect source if you wish to make a career in Algorithmic Trading. Here, we highlight some important factors for job seekers in the domains of High Frequency Trading, Automated Trading, Quantitative Trading or simply Quant Jobs. Link: Interactive Brokers https://lnkd.in/e8GAFstb #quant #finance #algorithmic #trading #careers #quants
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I've seen a lot of questions lately about examples of how market microstructure is applied in quant or systematic trading. My colleague at Databento maintains a fantastic Quant StackExchange account and he wrote some great examples here: https://lnkd.in/gCxsZexg An interesting example I worked on in the past is port warming on a matching engine's gateways. A trading venue's matching engine is itself a distributed software application, so typical software optimization practices apply to it just as much as they apply to your own trading platform. So, you could in theory coerce the matching engine to warm its cache for your desired critical path by passing order messages through it, the same way you could warm the cache on your trading platform. The same principle applies in various ways. I found this especially useful on certain venues with Java-based gateways since you could force them to JIT. #algotrading #microstructure #trading #java #jit #optimization #quant #marketdata
Using market microstructure and exchange-specific knowledge to design trading strategies
quant.stackexchange.com
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Optiver is a leading market maker that pays $200k+ for derivative trader roles. Here's an interview question asked in the Derivative Trader role interview by Optiver The Portfolio daily Ө1d is equal to 10000$. Assuming a realized Volatility of 16%, what would be your daily P&L if the Stock moves by +/- 2% during one trading day? (Portfolio is delta neutral) Solution - Attached below (PDF) Follow-up question, what would be the daily P&L if the portfolio is not delta-neutral? Interview rounds at Optiver for a Trader role are quite challenging. You can expect questions related to below. 1. Mental Math/speed math 2. Brainteasers / Puzzles 3. Probability questions 4. Technical rounds on financial markets 5. Behavioral/ role fit rounds Kickstart your Quant Interview Prep Check out Quant Insider Stack - https://lnkd.in/gcfdUEfg A Bundle of Interview Byte, Quantopia Library, and Quant Insider Project Handbook with Bonus Resources. ‘Interview Byte’ contains 1000+ Interview questions (https://lnkd.in/gkqcrrKf) Quantopia Library is the goldmine for building your domain knowledge and technical skills. (https://lnkd.in/geThBB4d) Quant Insider Project Handbook has 10 industry-oriented projects based on challenges and competitions conducted by Top HFTs and Hedge Funds. (https://lnkd.in/gWBEn78U) For more quant finance memes follow us on Instagram - Quant Insider (https://lnkd.in/gfjc4hBu) Connect with Quant Insider on other platforms as well https://lnkd.in/gpu4GKzE
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We are Epoch, LLC. We offer a new, all-in-one quantitative finance platform for both the experienced quant, and for the everyday trader. We provide access to historical financial data across all asset classes, machine learning resources, and a user-friendly algorithm generation platform. Typical quant finance resources have barriers to entry for inexperienced traders and coders. We give all traders an edge by providing both open-source algorithm development environments, and access to pre-established financial algorithms. Stay tuned to meet the founders and see what's in store for the new year. ------------------- #quantitativefinance #algorithmictrading #backtesting #alphageneration
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Global Banking & Markets | Ex Goldman Sachs | Quantitative Investment Strategies | Data Science | Board Member - Harvard Business Review | Charter holder - CQF | FRM | CFA |
Quant Insider No wonder so many students have wrong expectations about Quant Finance. Most seem to think they can crack Quant Finance by reading few guides or masterclass, not knowing that journey of Quant takes years and shorter the path one takes, longer the delay in good Quant career. No substitution for hard work. I hope students realize that strong formal difficult education in Maths, Finance and Programming is the only way to make a good career in Quant.
But you said that I will be working with models in this (Quant finance) role 🙁 I have been trapped, guys! 😭 Register now to take advantage of the Early bird offer, by using coupon code EarlyBirdQI TO GET 20% OFF, a limited-time offer valid till Today end of today. Master class - Implementation of Machine Learning in Trading Financial Market (Registration Link - https://lnkd.in/gC84529y ) It will be taken by Hariom Tatsat, CQF, FRM (IIT KGP ALUM, MFE UC Berkeley), VP of Quant at Barclay Investment Bank New York, with 12+ years of experience in the Quantitative finance domain. Kickstart your Quant Interview Prep with Quant Insider. Check out Quant Insider Stack - https://lnkd.in/gcfdUEfg A Bundle of Interview Byte, Quantopia Library, and Quant Insider Project Handbook with Bonus Resources. ‘Interview Byte’ contains 500+ Interview questions (https://lnkd.in/gkqcrrKf) Quantopia Library is the goldmine for building your domain knowledge and technical skills. (https://lnkd.in/geThBB4d) Quant Insider Project Handbook has 10 industry-oriented projects based on challenges conducted by Top HFTs and Hedge Funds. (https://lnkd.in/gWBEn78U) For more quant finance memes follow us on Instagram - Quant Insider (https://lnkd.in/gfjc4hBu)
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This is Tim Reynolds. He co-founded Jane Street Capital, which traded $17 trillion in securities in 2020. The result? Trading revenue of $10.6 billion by March 2021. Here's how they do it: Jane Street makes money in ETF arbitrage and high-frequency trading. The firm ended 2020 having traded $4 trillion in global equities, $1.4 trillion in bonds, and $3.9 trillion in ETFs. Jane Street is an authorized participant in 2,600 ETFs and the lead market-maker on 506 ETFs. This plays an important role in maintaining ETF liquidity and of course lets Jane Street earn money arbitraging price differences. https://lnkd.in/eMicj7DF Jane Street is famous for using OCaml, a niche functional programming language. This sets it apart from others that use C++, Java, and Python. It lets Jane Street attract exceptional programmers. https://lnkd.in/e2T2FazU Jane Street is famous for its unique interview process. Candidates often face complex questions related to probability, mental math, and algorithmic thinking. This is another way Jane Street gets the best talent. https://lnkd.in/eiAxDzfC Looking to start using Python for algorithmic trading (instead of OCaml)? Here's a free Ultimate Guide with everything you need to get started. Join the 1,000s of people who finally started with Python after reading it: https://lnkd.in/ewtsDM9P
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Commodity & Equity Derivatives Trading and Risk Management-HFT/Quant/ALGO/ALGO for Retail/Ex-NCDEX/Ex-MCX/Ex-Farmer
📈 Exploring Opportunities in Algo Trading: A Path to Financial Success As the financial markets continue to evolve, the role of Algo Traders becomes increasingly vital. For those considering a career in algorithmic trading, the opportunities are vast, and the right tools can make all the difference. Let's delve into key points to navigate this exciting field: 1. Market Dynamics and Algo Trading: Understanding market dynamics is fundamental. Algo Traders leverage sophisticated algorithms to analyze data, identify trends, and execute trades at optimal moments. This intersection of finance and technology offers a unique space for those with a keen interest in both realms. 2. Growing Demand for Algo Trading Professionals: The demand for skilled Algo Traders is on the rise globally. Financial institutions, hedge funds, and proprietary trading firms are actively seeking professionals who can harness the power of algorithms to gain a competitive edge. 3. Educational Resources: To embark on a successful Algo Trading journey, it's crucial to equip oneself with the right knowledge. Platforms like algotradingdesk.com provide valuable insights into market trends, algorithmic strategies, and the latest developments in the world of trading. 4. Tools and Technologies: Mastering the tools of the trade is essential. Platforms like Quantsapp, QuantInsti, and NinjaTrader offer hands-on experience in developing and backtesting algorithms. Learning programming languages such as Python and R can significantly enhance your capabilities in algorithmic trading. 5. Specialization in Options Trading: Options trading, with its unique risk-reward profile, provides additional dimensions for Algo Traders. Strategies based on options, such as covered calls, straddles, and iron condors, open up diverse possibilities for generating profits. 6. High-Frequency Trading (HFT): For those seeking a more dynamic approach, exploring High-Frequency Trading can be intriguing. The ability to execute trades at lightning speed requires a deep understanding of market microstructure and cutting-edge technologies. 7. Networking and Continuous Learning: Connect with professionals in the field through forums, conferences, and industry events. The landscape of algo trading is ever-changing, and staying informed about the latest trends and technologies is key to staying ahead. In conclusion, the world of Algo Trading offers a myriad of opportunities for those with a passion for finance and technology. By staying informed, acquiring the right skills, and leveraging the available tools, one can unlock the doors to a rewarding and dynamic career in algorithmic trading. #AlgoTrading #OptionsTrading #FinancialMarkets #CareerOpportunities #FinanceAndTechnology
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🚀 Seeking Opportunities in Quantitative Research or Trading? 📈 Look no further! 🌟 Navigating the landscape of Quantitative Researcher or Trader roles can be challenging. Many times, we find ourselves on the hunt for the perfect opportunity, yet it's challenging to identify firms that truly match our aspirations and skillsets. Below, you'll find a handpicked selection of 100 prominent companies actively on the lookout for talented Quantitative Researchers and Traders.. Each of these organizations boasts an exceptional environment, fostering innovation and embracing the forefront of quantitative finance: 1. Akuna Capital 2. Ansatz Capital 3. Aquatic 4. AQR 5. BAM 6. Arrowstreet Capital 7. Belvedere Trading 8. Blackedge Capital 9. Citadel Securities 10. Citadel 11. Chicago Trading Company 12. Cubist 13. DE Shaw 14. DRW 15. Five Rings 16. Flow Traders 17. G-Research 18. Geneva Trading 19. GSA Capital 20. HAP Capital 21. Headlands Tech 22. HRT 23. IMC Trading 24. Jane Street 25. Jump Trading 26. Mako Trading 27. Marshall Wace 29. Maven Securities 30. Millenium 31. Old Mission 32. Optiver 34. PDT Partners 36. Peak6 37. QuantLab 38. Radix Labs 39. Renaissance 40. Schonfeld 41. Seven Eight 42. SIG 43. TGS 44. Alphagrep 45. Graviton Research Capital 46. Tower Research Capital 47. TransMarketGroup 48. Two Sigma 49. Valkyrie Trading 50. Vatic Labs 51. Virtu Financial 52. Voleon 53. Wolverine 54. APT Portfolio 55. XTX Markets 56. Capula Investment Management 57. Morgan Stanley 58. Goldman Sachs 59. Citi bank 60. BNP Paribas 61. J.P Morgan 62. Numora 63. Point 72 64. Dynamic Technology Lab 65. BP Trading 66. Castleton Commodities International 67. EDF Trading 68. Equinor 69. EDF Trading 70. Verition Fund Management 71. Societe Generale 72. Dolat Capital 73. Greenland Investment Management 74. Kivi Capital 75. Viking Global Investors 76. Trexquant Investment LP 77. Maverick Derivatives 78. Selby Jennings 79. Rebellion Research 80. NK Securities 81. Future First 82. XY Capital 83. Eclipse Trading 84. Vector Trading 85. iRageCapital Advisory Private Limited 86. Barclays 87. UBS 88. Macquarie Group 89. BlackRock 90. Aquis Search 91. Qube Research & Technologies 92. DV Trading LLC 93. ExodusPoint Capital Management, LP 94. Bank of America Merrill Lynch 95. PIMCO 96. Man Group 97. PEAK6 98. Valkyrie Trading 99. Da Vinci 100. Quantbox Research These firms offer an exciting spectrum of opportunities for those passionate about leveraging quantitative strategies in financial markets. Whether you're an experienced professional or an enthusiastic newcomer, these firms welcome talent to drive innovation and make impactful contributions to the world of finance. Stay updated on quantitative roles and opportunities by following QuantCrest Page to catch all the latest updates and insights 🌐💼 #QuantitativeResearch #QuantitativeTrading #FinanceCareers #Opportunity #QuantitativeFinance #CareerDevelopment #FollowForUpdates
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As 2023 draws to a close, I am excited to announce some cool new (and previously secret!) projects I am lining up for next year. Having spent the last two decades in the quantitative trading business, I’ve had incredible opportunities to work with some of the best quantitative people and teams in the world. I’ve built popular open-source quant software used globally and continue to co-host a widely attended quant conference that’s attracted thousands of attendees and hundreds of talks over the last 15 years. 2024 is a return to this effort, but with some much bigger plans. *ADVISORY WORK* To start, I will be taking on a small number of new advisory clients in 2024. Why? Most of us in asset management are locked away within large firms or under years-long non-competes. This makes it difficult to find relevant expertise to help build a quantitative business or strategy. My experience helps to accelerate systematic agendas by providing the missing knowledge and expert advice needed to navigate the complex decisions and challenges of a trading business. Whether it’s designing and validating research processes, building data pipelines, managing portfolio construction, or evaluating strategies — what I can offer is simple: compress the time between where you are now and where you want to be. Interested? You can DM me on LinkedIn or e-mail me now at jeffrey.ryan@lemnica.com. *PUBLIC WORKSHOPS* To help even more traders and firms excel, myself and a small team are planning a limited set of in-person workshops led by experienced practitioners from equities, options, commodities and crypto. We are expecting to launch in the first half of 2024. The focus of these workshops is converting quasi-discretionary trading into something more systematic and testable. They will be light on math (most strategies are!) and heavier on code/software — with a focus on offering insights into how things are done on a successful quant desk. These workshops will offer a collaborative environment with other attendees of complementary backgrounds - where you take away new insights, advice, and skills to make it happen. We are going to make these workshops as much about the interactions with attendees in the room as they will be about the ideas and execution needed to succeed. Interested in more details before we make it public? Again, reach out to me on LinkedIn or e-mail me directly. *SOFTWARE AND DATA PLATFORM* For the last few years I have been quietly working on some ambitious new software and data platforms. I can't provide many details until January, but it ties together nearly everything I have done for the last twenty years in quantitative finance - from institutional caliber research-ready data to a new collaborative effort around a game-changing symbology initiative (yes!). Thanks for reading and looking forward to sharing more when we all get back to our desks in 2024! Best, Jeff
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