Exciting Opportunity: Quant Researcher - Systematic Fixed Income RV! Onyx Alpha Partners is partnering with a Senior PM at a leading hedge fund in London. This is a special opportunity to pioneer research in systematic fixed income trading markets. We are seeking an experienced Quant Researcher to drive innovation and excellence within a newly formed trading pod. If you're passionate about quantitative research and ready to shape the future of fixed income trading, apply now to hear more about this incredible team! Apply Now: https://lnkd.in/eVGhuPrY #SystematicTrading #EGBs #FixedIncome #Hiring #QuantitativeFinance
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๐ค๐๐ฎ๐ป๐๐ถ๐๐ฎ๐๐ถ๐๐ฒ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต๐ฒ๐ฟ๐ - ๐๐พ๐๐ถ๐๐ ๐ฆ๐๐ฎ๐-๐๐ฟ๐ฏ ๐ง๐ฒ๐ฎ๐บ ๐๐๐ถ๐น๐ฑ My client, a reputable multi-billion ($XX) dollar hedge fund, is actively looking to fill a number of quantitative #research seats within a team build headed by a highly successful PM. The team is primarily focused on #equities stat-arb, while also having a sleeve focused on index rebalance. The team is supported by exceptional #technology and is a key area of investment with headcount to expand to a dozen individuals. The open positions include: ๐ญ. ๐ฆ๐ฒ๐ป๐ถ๐ผ๐ฟ ๐ค๐๐ฎ๐ป๐๐ถ๐๐ฎ๐๐ถ๐๐ฒ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต๐ฒ๐ฟ - ๐๐ป๐ฑ๐ฒ๐ ๐ฅ๐ฒ๐ฏ๐ฎ๐น๐ฎ๐ป๐ฐ๐ฒ ๐ฎ. ๐ค๐๐ฎ๐ป๐๐ถ๐๐ฎ๐๐ถ๐๐ฒ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต๐ฒ๐ฟ - ๐ฆ๐๐ฎ๐ ๐๐ฟ๐ฏ (๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด) ๐ฏ. ๐ฆ๐ฒ๐ป๐ถ๐ผ๐ฟ ๐ค๐๐ฎ๐ป๐๐ถ๐๐ฎ๐๐ถ๐๐ฒ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต๐ฒ๐ฟ - ๐ฆ๐ต๐ผ๐ฟ๐-๐ง๐ฒ๐ฟ๐บ ๐๐๐๐๐ฟ๐ฒ๐ ๐ฐ. ๐ค๐๐ฎ๐ป๐๐ถ๐๐ฎ๐๐ถ๐๐ฒ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต๐ฒ๐ฟ - ๐๐พ๐๐ถ๐๐ถ๐ฒ๐ ๐๐ ๐ฒ๐ฐ๐๐๐ถ๐ผ๐ป Locations: The hiring manager is open to considering all locations where our client currently has an office, however, there is a strong preference for ๐ก๐ฒ๐ ๐ฌ๐ผ๐ฟ๐ธ ๐ผ๐ฟ ๐๐ผ๐ป๐ฑ๐ผ๐ป. #TGQuant
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How Hedge Fund CXX talk about their Hiring process for Quant Role. ๐Quant Analyst ๐Quant Researcher ๐Quant Developer ๐Software Developer Listen to Ray Dalio Interview (ย world's largest hedge fund,ย Bridgewater Associates) #hft #fund #trading #algorithmtrading #investing
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Portfolio Manager & Quant Research Recruitment Consultant | Hedge Fund and Prop | ๐๐ฎ๐๐ง๐ญ๐ ๐๐๐
๐ค๐๐ฎ๐ป๐๐ถ๐๐ฎ๐๐ถ๐๐ฒ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต๐ฒ๐ฟ๐ - ๐๐พ๐๐ถ๐๐ ๐ฆ๐๐ฎ๐-๐๐ฟ๐ฏ ๐ง๐ฒ๐ฎ๐บ ๐๐๐ถ๐น๐ฑ My client, a reputable multi-billion ($XX) dollar hedge fund, is actively looking to fill a number of quantitative #research seats within a team build headed by a highly successful PM. The team is primarily focused on #equities stat-arb, while also having a sleeve focused on index rebalance. The team is supported by exceptional #technology and is a key area of investment with headcount to expand to a dozen individuals. The open positions include: ๐ญ. ๐ฆ๐ฒ๐ป๐ถ๐ผ๐ฟ ๐ค๐๐ฎ๐ป๐๐ถ๐๐ฎ๐๐ถ๐๐ฒ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต๐ฒ๐ฟ - ๐๐ป๐ฑ๐ฒ๐ ๐ฅ๐ฒ๐ฏ๐ฎ๐น๐ฎ๐ป๐ฐ๐ฒ ๐ฎ. ๐ค๐๐ฎ๐ป๐๐ถ๐๐ฎ๐๐ถ๐๐ฒ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต๐ฒ๐ฟ - ๐ฆ๐๐ฎ๐ ๐๐ฟ๐ฏ (๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด) ๐ฏ. ๐ฆ๐ฒ๐ป๐ถ๐ผ๐ฟ ๐ค๐๐ฎ๐ป๐๐ถ๐๐ฎ๐๐ถ๐๐ฒ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต๐ฒ๐ฟ - ๐ฆ๐ต๐ผ๐ฟ๐-๐ง๐ฒ๐ฟ๐บ ๐๐๐๐๐ฟ๐ฒ๐ ๐ฐ. ๐ค๐๐ฎ๐ป๐๐ถ๐๐ฎ๐๐ถ๐๐ฒ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต๐ฒ๐ฟ - ๐๐พ๐๐ถ๐๐ถ๐ฒ๐ ๐๐ ๐ฒ๐ฐ๐๐๐ถ๐ผ๐ป Locations: The hiring manager is open to considering all locations where our client currently has an office, however, there is a strong preference for ๐ก๐ฒ๐ ๐ฌ๐ผ๐ฟ๐ธ ๐ผ๐ฟ ๐๐ผ๐ป๐ฑ๐ผ๐ป. #TGQuant
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๐๐ข๐ ๐ก ๐๐ซ๐ข๐จ๐ซ๐ข๐ญ๐ฒ Laz Partners ๐๐ฎ๐ฒ-๐๐ข๐๐ ๐๐ฉ๐ฉ๐จ๐ซ๐ญ๐ฎ๐ง๐ข๐ญ๐ข๐๐ฌ: ๐๐๐ง๐ข๐จ๐ซ ๐๐จ๐ซ๐ญ๐๐จ๐ฅ๐ข๐จ ๐๐๐ง๐๐ ๐๐ซ: ๐๐ช๐ฎ๐ข๐ญ๐ข๐๐ฌ & ๐๐ซ๐๐๐ข๐ญ (๐๐/๐๐จ๐ง๐๐จ๐ง):ย We are working with a leading alternative investment manager that is looking to hire a Senior PM (directional-biased) with diverse exposures to both equity and credit, given that the fund runs an unconstrained mandate. Attractive pay-outs and allocations on offer for any senior/experienced fundamental PMs that are trading both fundamental equities and credit. A strong track record and history of running a large allocation (preferably 500m+) with a scalable strategy would be preferred. ๐๐ข๐ซ๐๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐๐๐๐ซ๐จ ๐๐๐ฌ & ๐๐ฎ๐-๐๐๐ฌ (๐๐/๐๐จ๐ง๐๐จ๐ง): We are working with 3 macro hedge funds that are looking to hire directional-biased macro PMs and sub-PMs with expertise in G10 Rates and/or G10 FX. Allocations of $250m-$1bn on offer, as well as competitive payouts and risk limits. ๐๐ฎ๐๐ง๐ญ๐ข๐ญ๐๐ญ๐ข๐ฏ๐ ๐๐๐๐ซ๐จ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ญ (๐๐จ๐ง๐๐จ๐ง): A macro HF (sub-$5bn AUM) is looking to hire exceptionally talented quantitative analysts with macro fixed income/rates backgrounds join their growing quant team & to focus on building models/frameworks to help drive trade idea generation and investment performance. Must have expertise in Python & MSc/PhD in a highly numerical subject. ๐๐ฎ๐ง๐ข๐จ๐ซ ๐๐ช๐ฎ๐ข๐ญ๐ฒ ๐/๐ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ญ: ๐๐ ๐๐ก๐๐ซ๐ฆ๐/๐๐๐๐ฅ๐ญ๐ก๐๐๐ซ๐/๐๐ข๐จ๐ญ๐๐๐ก (๐๐จ๐ง๐๐จ๐ง): Must have 1-3 years of experience, from either the buy-side or sell-side (public or private equity), with a strong knowledge of Pharma/Healthcare or Biotech. The regional coverage will look at US names and the incoming analyst will be supporting and assistant PM running a sleeve within a larger pod at Tier-1 Multi-Strat HF. ๐๐ช๐ฎ๐ข๐ญ๐ฒ ๐๐จ๐ง๐ -๐๐ง๐ฅ๐ฒ ๐๐๐ฌ & ๐๐๐๐ฆ๐ฌ (๐๐จ๐ง๐๐จ๐ง): We are working with a well-established Equity Hedge Fund and a mid-sized asset manager, both of which are looking to hire equity long-only PMs & whole teams. The strategy must be running a minimum of $500m-$1bn AUM, with 3-5+ years of track record and a clear edge, while being scalable to multiple $billion & with an institutional client base (as opposed to retail). Areas of interest include European Equities, Small-Cap Equities, and Thematic Equities (Eg. AI, Robotics, Healthcare). ๐๐ช๐ฎ๐ข๐ญ๐ฒ ๐/๐ ๐๐๐ฌ (๐๐/๐๐จ๐ง๐๐จ๐ง/๐๐ฎ๐๐๐ข/๐๐ข๐๐ฆ๐ข): We are interested in speaking with any Equity L/S PMs that have been running at least $150m-$200m+ for at least 2+ years with full ownership of the track If interested in a confidential discussion, please email Alex Lazaridis ([email protected]) and we will connect you with the relevant member of our team who can help. ๐๐ฅ๐ฌ๐จ, ๐ข๐ญ ๐ฐ๐จ๐ฎ๐ฅ๐ ๐๐ ๐ก๐ข๐ ๐ก๐ฅ๐ฒ ๐๐ฉ๐ฉ๐ซ๐๐๐ข๐๐ญ๐๐ ๐ข๐ ๐๐ง๐ฒ๐จ๐ง๐ ๐ซ๐๐๐๐ข๐ง๐ ๐ญ๐ก๐ข๐ฌ ๐๐จ๐ฎ๐ฅ๐ ๐ฉ๐ฅ๐๐๐ฌ๐ ๐ฅ๐ข๐ค๐/๐ฌ๐ก๐๐ซ๐ ๐๐จ๐ซ ๐๐ซ๐จ๐๐๐๐ซ ๐ซ๐๐๐๐ก.
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We're looking for pilot clients, preferably hedge funds or managed account holders trading in equities, bonds, or derivatives, for our Local Outlier Factor engine; details ๐ The LOF engine offers 'unsupervised' anomaly detection in liquid markets. It is based on a statistical method that analyzes large datasets without pre-set patterns, aiming to detect underutilized insights that the manager was unaware of, hence early flagging an opportunity or risk. Examples can be uncovering irregular price movements in micro-cap equities within niche sectors before they gain broader market attention, or identifying discrepancies in municipal bonds yields that suggest under-the-radar fiscal changes. The test client can use the engine free of charge but is expected to provide their own data.
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This is how I aced technical rounds at a major quant hedge fund A few months back I interviewed at one of the top Quant Hedge funds for a Junior Quant researcher role I gonna share a few of the major topics that I prepared, which helped me ace the technical round ( I couldn't clear the final HR round) โก Probability Probability questions are the most unpredictable type of interview questions. It ranges from general problems such as a roll of a dice to questions about stochastic processes. 1. Basic Concepts ๏ท Random Variables ๏ท Probability distributions ๏ท Permutations and combinations ๏ท Martingales 2. Conditional probability ๏ท Bayes theorem ๏ท Law of total probability 3. Stochastic or random process โก Mathematics 1. Statistics ๏ท Normal Distributions ๏ท Log-Normal Distributions ๏ท Binomial Distribution ๏ท Poisson Distribution ๏ท Exponential Distribution ๏ท Monte-Carlo Simulation ๏ท Z-score, hypothesis testing ๏ท Different types of tests: t-test, F-test, chi2 test, etc. ๏ท Regression Analysis 2. Linear Algebra ๏ท Vector and matrix multiplication ๏ท Matrix operations (transpose, determinant, inverse, etc.) ๏ท Eigenvalue and eigenvectors ๏ท Matrix decomposition 3. Calculus ๏ท Derivatives ๏ทProduct rule, chain rule, power rule, L'Hospital's rule ๏ท Partial derivative ๏ท Integration ๏ท Fourier transformation 4. Data Structures and Algorithms (Medium to Hard Level) 5. Machine Learning - Linear Regression Model - Decision Tree -SVM -LTSM - PCA - Kalmar filter -XGBoost 6. Time series Models 7. Mathematical Puzzles and Brain teasers (if you are applying for entry-level roles, prepare well for this) 8. Financial Products and asset class knowledge Kickstart your Quant Interview Prep with Quant Insider. Check out Quant Insider Stack - https://lnkd.in/gcfdUEfg A Bundle ofย Interview Byte, Quantopia Library, and Quant Insider Project Handbookย with Bonus Resources. โInterview Byteโ 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 Handbookย hasย 10 industry-oriented projectsย 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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Two Sigma with an AUM of $60+ Billion, pays a median salary of $250,000 for a Quantitative Researcher role. Two Sigma is among the top hedge funds and one of the most preferred hedge funds by Quants. It's known for its Scientific Approach. Here's an interview question asked in the Quant role interview by Two Sigma. Consider the linear regression setting in which you are given a training set: D:={(x1,y1),...,(xN,yN)}ย consisting ofย Nย inputs whereย yi ย andย yj ย are conditionally independent given their inputsย xi,xj Letย X:={x1,...,xn}ย andย Y:={y1,...,yN}. Our goal is to find the parametersย ฮธโ for the linear regression model. One approach for finding these parameters is maximum likelihood estimation in which we maximize the predictive distribution of the data given the parameters. We obtain the MLE parameters as: ฮธMLEโargmaxp(YโฃX,ฮธ) To find the parametersย ฮธMLE we typically perform gradient descent. However, a closed-form solution also exists to find the parameters. Derive the closed-form solution to findย ฮธMLE Solution - Attached below (Swipe left) Kickstart your Quant Interview Prep with Quant Insider. Check out Quant Insider Stack -ย https://lnkd.in/gcfdUEfg A Bundle of Interview Byte, Quantopia Library, and Quant Insider Project Handbook with Bonus Resources. โInterview Byteโ 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 conducted by Top HFTs and Hedge Funds. (https://lnkd.in/gWBEn78U) Checkout our Course on Machine Learning for Finance -ย https://lnkd.in/eyXnPRwz Use Coupon code - "EARLYBIRD20" for 20%ย off on the course For more quant finance memes follow us on Instagram - Quant Insider (https://lnkd.in/gfjc4hBu)
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Two Sigma with an AUM of $60+ Billion, is among the top hedge funds and one of the most preferred hedge funds by Quants. It's known for its Scientific Approach. Here's an interview question asked in the Quant role interview by Two Sigma. You have a random number generator that picks numbers between [0,1] uniformly at random. You draw numbers from this generator and keep adding the result. What is the expected number of Draws to get this sum to reach 1? Solution - The image attached below Kickstart your Quant Interview Prep with Quant Insider. Check out Quant Insider Stack -ย https://lnkd.in/gcfdUEfg A Bundle ofย Interview Byte, Quantopia Library, and Quant Insider Project Handbookย with Bonus Resources. โInterview Byteโ 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 Handbookย hasย 10 industry-oriented projectsย based on challenges conducted by Top HFTs and Hedge Funds. (https://lnkd.in/gWBEn78U) Quant Insider Career Catalyst is your guide to all interview prep tips, preparation roadmap and job application strategies (https://lnkd.in/gVhA4tNG) For more quant finance memes follow us on Instagram - Quant Insider (https://lnkd.in/gfjc4hBu)
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I saw this on an anonymous job post today for a rates quant with a hedge fund. "Due to demand, we are advertising this role anonymously." CLASSIC! ๐คฃ 1. If the demand is so great then why are you advertising at all? I have the candidates in my network already. Doh! 2. Why have so few people applied? Could it be that nobody likes applying for things that are not defined? 3. It should be illegal to advertise in this way. Why can't you give your name? There are only so many ways to skin a cat but still enough to avoid this kind of nonsense. ๐ "I'm looking for a quant, can't tell you who with or why or for how much but you can trust me. I won't share my name just for now because........erm....the client has asked for anonymity.....which we can hide behind even though it is clearly nonsense." We are in 2024 right?
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๐๐ข๐ ๐ก ๐๐ซ๐ข๐จ๐ซ๐ข๐ญ๐ฒย Laz Partnersย ๐๐ฎ๐ฒ-๐๐ข๐๐ ๐๐ฉ๐ฉ๐จ๐ซ๐ญ๐ฎ๐ง๐ข๐ญ๐ข๐๐ฌ: ๐๐ฎ๐ฒ-๐๐ข๐๐: 1๏ธโฃ ๐๐จ๐ฆ๐ฆ๐จ๐๐ข๐ญ๐ข๐๐ฌ (๐๐ง๐๐ซ๐ ๐ฒ) ๐๐ ๐จ๐ซ ๐๐ฎ๐-๐๐ (๐๐/๐๐จ๐ง๐๐จ๐ง): We are working with a leading macro hedge fund that is looking to hire commodities-focused portfolio managers (Senior PMs or Sub-PMs) with an energy focus. Must have a clear framework and an established track record, either as a lead PM or Sub-PM 2๏ธโฃ ๐๐๐ง๐ข๐จ๐ซ ๐๐ข๐ซ๐๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐๐๐๐ซ๐จ ๐๐จ๐ซ๐ญ๐๐จ๐ฅ๐ข๐จ ๐๐๐ง๐๐ ๐๐ซ (๐๐/๐๐จ๐ง๐๐จ๐ง): We are working with a leading macro hedge fund that is looking to speak with experienced Senior Directional Macro Portfolio Managers with expertise in G10 Rates (G3 Especially) and/or G10 FX. 3๏ธโฃ ๐๐๐ง๐ข๐จ๐ซ ๐๐ซ๐ญ๐ข๐๐ข๐๐ข๐๐ฅ ๐๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ (๐๐) ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ญ (๐๐จ๐ง๐๐จ๐ง):ย We are working with a leading multi-strategy fund that is looking to hire an AI Analyst, with expertise in Machine Learning and a good top-level knowledge of markets (macro especially a big plus) to join a successful rates pod. 4๏ธโฃ ๐๐ ๐๐๐๐ซ๐จ ๐๐ฎ๐-๐๐ - ๐๐๐ญ๐๐ฌ ๐ ๐จ๐๐ฎ๐ฌ (๐๐จ๐ง๐๐จ๐ง): We are working with a leading macro hedge fund that is looking to hire EM Macro (Rates & FX) Sub-PMs to join a successful and growing pod in London. Must have an established buy-side or sell-side track record, ideally with a strong focus on EM Rates. Any specialization within EM Rates (such as Turkey, Brazil, Asia, CEEMEA etc) and/or trading a certain part of the curve is especially interesting vs having a very broad/generalist focus. 5๏ธโฃ ๐๐ง๐ฏ๐๐ฌ๐ญ๐ฆ๐๐ง๐ญ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ญ - ๐๐ซ๐ข๐ฏ๐๐ญ๐ ๐๐๐๐ฅ๐ญ๐ก (๐๐จ๐ง๐๐จ๐ง): We are working with a leading global asset & wealth manager looking to hire a Financial Analyst (3-5 years) to work as part of a team managing discretionary portfolios for HNW/UHNW clients. In this multi-faceted role, the Analyst will be helping manage investments (equities/fixed income/multi-asset) for the firmโs clients. Focus areas will include trade idea generation, providing broad-based support to the investment team in the day-to-day management of the portfolios, execution, cash management, financial modeling, client interaction, and performance reporting. 6๏ธโฃ ๐๐ฅ๐จ๐๐๐ฅ ๐ ๐ข๐ง๐๐ง๐๐ข๐๐ฅ๐ฌ ๐๐ซ๐๐๐ข๐ญ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ญ (๐๐จ๐ฎ๐ญ๐ข๐ช๐ฎ๐ ๐๐ฌ๐ฌ๐๐ญ ๐๐๐ง๐๐ ๐๐ซ - ๐๐ฐ๐ข๐ญ๐ณ๐๐ซ๐ฅ๐๐ง๐): European Banks (& global banks) experience required, with coverage of insurers being a plus. 5-10 years of experience and this role provided a clear path towards becoming a PM. This is a top team that is expanding with an excellent reputation and growing AUM. Absolute Return Credit Funds. If interested in a confidential discussion, please be sure to email [email protected] and we can connect you with the relevant member of our team. Also, it would be very much appreciated if anyone reading this could please like/share for broader reach so that we can help anyone who might be considering new opportunities.
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