Alfie Fuller’s Post

𝐓𝐡𝐞 𝐁𝐚𝐬𝐢𝐜𝐬 𝐨𝐟 𝐄𝐪𝐮𝐢𝐭𝐲 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡! Equity Research is all about helping people make smart decisions with their money in the stock market. ↘️Use this PDF to clarify What a Financial Analyst do. 📌 What is Equity Research? 📌 Purpose of Equity Research. 📌 Types of Equity Research. 📌 Main Components of Equity Research. 📌 Role and Responsibilities of an Equity Research Analyst. For more information on this, look below👇. Save or download it, so you don't have to spend your precious time looking for it. Happy Learning! I hope it helps you a bit, if it does, then 🔁Repost this for the benefit of your network! 📍 Rahul Saxena in your service. Follow and stay tuned for more such posts. (Now that I'm available on Instagram too, you may Follow me, here is the link to the same: https://lnkd.in/gXYWRiYX, or Id- @saxena_rahull)

End of the week job roll out and interesting tidbit. I recently came across an article highlighting that only about a third of Quantitative Analytics, Research & Trading professionals found their current bonus motivating, and even fewer felt it met their expectations, standing at just 40%. Interestingly, a staggering 85% of these professionals indicated that a low or non-existent bonus would prompt them to leave their current company. With bonus season behind us, it's intriguing to observe how firms heavily reliant on this talent pool and proactive professionals who understand their value navigate this situation. Below is this weeks end of the week job roll out. Get in touch with me (gm@pinpoint.cateers) to discuss. A lot of firms are currently competing form macro Quantitative analyst and traders, the obvious need is there so do get in touch if you are in NY and are looking to explore different options. New York - Macro Quantitative Analyst - 20Bn$+ HF - $150k - $325k base -Quant systems engineer - 20Bn$ + HF - $ 200k - $300k base -Quant systems developer - 20Bn$+ HF - $200 $250k base - Machine learning developer - 20Bn$ + HF - $200k - $250k base - Execution trader - technology focused multi-strat tier 1 HF - fixed income/ FX/ commodities/ Macro market - $150k - $250k base - Macro Volatility researcher - Multi-strat tier 1 HF - commodities/ equities - $150k - $200k base -Quant researcher/trader entry level - HFT HF- PhD requirement from top university in STEM - $120000 - $200000 ( Chicago also open) - Experienced software engineer - HFT HF - market data exp required - £120k - $285k base Europe -Fully Systematic Macro PM - Sharpe 2.5+ - London, Paris exceptionally competitive , multi million $/£ range . -Senior Quant trader - HFT HF - asset class open - London, Amsterdam £150k - £250k base -Quant Researcher G10 and emerging markets - Multi Strategy Fund - London -£500K+ TC Remote Systematic Portfolio managers who can work in a stand alone Hedge fund style with a Sharpe score of 3+, with experience in either managing Futures/ Equities (preferred)/Arbitrage trading. Sakshi Vashisth George Stubbs Harrison Jones Jacob Best Josh Padpu Keira Galvin Saahil Mehra Sharpay Zeng Trewan Bashford Yuet Sum (Didi) Wong Aaisha U. Stefan Pillinger Lennard Heppner

Announcing new openings in Quantitative Research - similar yet unique at the same time 🚀 Team Global Equities👇 Exposure to 10+ markets, fundamental research, building alfas and managing all aspects of the research process - apply here: https://lnkd.in/dGDcVbkA Team Microstructure Futures👇 Building new signals, working with a world-class Portfolio Manager, working on risk and cost modeling, directly participating in execution development - apply here: https://lnkd.in/dEzcUiiY Perfect combination of Research and Development while being part of global Quantitative Trading is what these are about 🌌

𝗛𝗲𝗱𝗴𝗲 𝗙𝘂𝗻𝗱𝘀 - 𝗧𝗵𝗲 𝗺𝗼𝘀𝘁 𝘀𝗼𝘂𝗴𝗵𝘁 𝗮𝗳𝘁𝗲𝗿 𝘀𝗸𝗶𝗹𝗹𝘀𝗲𝘁𝘀 𝗳𝗼𝗿 𝟮𝟬𝟮𝟰 Within hedge funds, we can all agree on a visible trend towards strategies being more algorithmic & systematic and more data-driven to get ahead of the curve across various markets. In order of demand, here is a list of key skillsets hedge funds are actively looking for: 𝟭. Futures and Equities Quantitative Researchers 𝟮. Data Scientists and Quantitative Developers 𝟯. Quantitative Researchers within Cash Equities & Currencies 𝟰. Quantitative PMs & Macro Risk Strats across APAC & Europe 𝟱. Data Engineers & Quantitative Data Engineers 𝟲. Systematic Quantitative Developers, Quantitative Analysts and Senior Software Engineers 𝗪𝗵𝗮𝘁 𝗱𝗼 𝘁𝗵𝗲𝘀𝗲 𝗱𝗲𝗺𝗮𝗻𝗱𝘀 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆: A visible pivot towards more sophisticated, numerical & quantitative approaches to trading markets. One thing worth noting, such professionals must require an adaptable mindset capable of adjusting to the ever-changing financial landscape. As the financial markets continue to make headway, professionals with these skillsets will become crucial to the objectives and performance of hedge funds. #quantitativefinance #hedgefunds #rec2rec #financialtrading #financialmarkets

Titles of Quant roles can be quite confusing, what’s the difference between ad Quant Researcher and a Quant Analyst for instance? Another really helpful post from Quant Insider that I thought might help shed some light 🔵 Quant Researcher – typically work very closely with PMs and usually takes home a % of PnL Use stats and ML to predict market returns and find “alpha”. Usually have a PhD and have very strong programming    🔵 Quant Trader – traders build algos / computer programmes to make markets / create liquidity. They will buy or sell assets and aim to hedge positions. They make profit from the bid-ask spread.    🔵 Quant Analyst – Quant Analysts build pricing and risk tools. They model asset prices and calculate risk. Typically strong math / statistics background and excellent programming. Knowledge of products / assets 🔵 Quant Developer – a Quant Dev is a hybrid position between a developer and a researcher. They need excellent computer science background but also need to understand finance. Devs put into production trading strategies, build trading platforms or develop pricing / risk tools    Thanks for reading and hope it helps. Please like ❤️ / share ♻ / comment 🗣 and it might reach someone that it really helps. If you’d like to discuss further please get in touch, would love to do so. #financialservicesrecruitment #hedgefunds #assetmanagement #quant #quantinvesting #investmentbanking #buyside #sellside #marketmaking #londonjobs #dublinjobs 

EXCLUSIVE: The TRADE sits down with equity trader at T. Rowe Price, Oriane Cochard, CFA, to explore the versatility of new talent reaching the trading desk and how the hiring process has changed to accommodate this. #interview #buyside #equities #talent #tradingdesk #hiring #data #technology #troweprice #markets #trading

I feel there is lot of confusion around the roles of Quant: Quant Trader, Quant Reseracher, Quant Developer and Quant Analyst. I have tried to define each roles to the best of my knowledge 💕💕 1. Quantitative Traders: These professionals use mathematical models to inform their trading decisions. They employ techniques like fundamental analysis, technical analysis, and quantitative models for predicting market movements. Quantitative traders are responsible for designing algorithms that search for alpha, or returns above those from standard stock market fluctuations, often using econometrics, statistics, or machine learning. They work in banks or quantitative/systematic hedge funds.🎯🎯 2. Quantitative Researchers: Their focus is on developing and improving mathematical models. They typically have strong mathematical backgrounds, often with PhDs in fields like Math/Stat. They are employed in alternative research firms, large hedge funds, or investment banks, but usually in a middle office capacity, where they concentrate on model development rather than implementation.📚📚 3. Quantitative Developers (Quant Devs): These individuals focus on developing, implementing, and maintaining quantitative models. They work closely with quantitative analysts and software engineers, often in investment banks and hedge funds. Their skills include proficiency in programming languages like Python, C++, C#, and Java, and they are responsible for developing programming libraries, creating numerical library components, and consulting on high-performance computing. They work in various office settings, from front office (close to trading and portfolio management) to middle and back offices (focusing on technology systems and support functions).♥️♥️ 4. Quantitative Modeler: Commonly referred to as a quant or quantitative analyst, uses numerical and quantitative techniques to build complex models. They are typically employed in sectors like investment banking, risk management, and portfolio optimization. Quants require advanced knowledge in mathematics, finance, statistical modeling, and programming languages.😄⭐️😄 #quant #quantitativefinance #financialengineering #riskmanagement #market

With rising demand for top quant professionals, now is the perfect time to explore sought-after roles in quantitative trading. From algorithmic trading to risk management, this field offers exciting opportunities to make a significant impact. Quantra’s All Courses Bundle, with its Placement Assist feature, helps you develop the technical skills needed for these top quant jobs. Top Quant Jobs 1. Quantitative Analyst Use mathematical and statistical techniques to develop models and strategies for financial markets, risk management, and investment decisions. Analyse large datasets, create algorithms and implement trading strategies to optimise financial outcomes. 2. Quantitative Developer Work closely with quantitative analysts to design and implement software solutions for financial modelling and algorithmic trading. Get skilled in programming languages such as Python, and focus on building robust and efficient systems to execute quantitative strategies. 3. Quant Fund Manager Responsible for overseeing and managing investment funds, and making strategic decisions to optimise returns for investors. Analyse financial data, and implement investment strategies to achieve the fund's objectives. Unlock Placement Support → https://bit.ly/3SKEjFe #Trading #AI #MachineLearning #AlgorithmicTrading #QuantFinance #DataScience

Working with a Top-performing fast-growing 1.6B+ Macro Hedge fund looking for an experienced Macro Researcher- research predictive macro models & improve existing suite of models. The candidate needs experience with quantitative modeling and solid futures markets. Leading a group or team of researchers is a big +. Research and analyze market data, Evaluate and improve existing quantitative models. GREAT role at growing Fund Reach out for more details- careers@hf-solutions.com #quantitativeresearch #quant #quantitativeanalysis #futurestrading #futures #modeling #marketdata #predictiveanalytics #macro #macroeconomics #python