X4 Alpha’s Post

As a recruiter in the quantitative trading space, I have had the chance to speak with graduates from different backgrounds who are eager to kickstart their career as a quantitative researcher – including individuals who love machine learning (ML). Whether they’ve been given some less-than-accurate information from their university peers, or they’ve had a bad experience with an interview process – many graduates hold some misconceptions about how their interests will appeal to employers. Some people think that in becoming a quantitative researcher, they will have to put aside their passion for ML… The truth is - firms are actively looking for individuals who have strong quantitative degrees and are interested in ML to join them as junior quant researchers. In fact, many (if not all) of the quant researcher roles we are working with involve applying ML methods to research, develop and implement trading strategies. There are many advantages that ML can bring to the world of systematic and algorithmic trading. These methods offer the capability to analyse extensive datasets, unveil intricate patterns, and adjust to dynamic market conditions. When it comes to developing non-classical techniques in systematic strategies, ML is one of the main vehicles of revolutionising future trading practices. So for firms that are innovation and technologically driven – a quantitative researcher who has an interest in ML is a great addition to their team! Our clients are actively looking for 2024 or 2025 graduates from top global universities who are passionate about ML to join their team as quant researchers. If you think this sounds like you, feel free to drop me a message. #quantitativefinance #quantfinance #quantresearch #quantitativeresearch #machinelearning #graduateopportunities #systematictrading

#Hiring: share resume at gaurav.verma@zodiac-solutions.com Title – Machine Learning Engineer  Location – Syracuse, NY (Onsite) Contract/Permanent Skills: Designing predictive models for self-running artificial intelligence (AI) software. Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations. Turning unstructured data into useful information Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Documenting machine learning processes. Tools and frameworks. Advanced proficiency with Python, Java, and R code writing. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. In-depth knowledge of mathematics, statistics, and algorithms. #artificialintelligence #machinelearning #machinelearningengineer #usatoday #usajobseekers #jobsearch #jobseekerssa #mlalgorithms #hiring #hiringimmediately #hiringjobs

Say you wanted to implement Reinforced Learning, but you can only hire 1 person. Would you hire a Data Scientist with RL experience, and enough software dev experience such that you can invest in their Software Development skills? Or, would you hire seasoned Software Developer with a mathematical background, and invest in the DS? Assuming there is not a unicorn that walks up to you, and who is a expert in both 😀 Meaning, of all of your candidates, almost all will probably be strong in one and weak in the other. Thx b #reinforcementlearning #datascientist

I've been working on extracting the top skills listed in the roles Job Journal finds. It's taken more time than I wanted but eventually I'll be able to turn this truly unique dataset into insights. My aim is to answer the questions: What skills are these companies hiring for? How can I get/maintain those skills? While I work on the report, it's been hard at work finding some epic roles. We're at 112 active subscribers with an open rate of 40-50% DAILY, so it must be doing something right. Here are a few notable roles from the last few days: 1️⃣ [Today] Applied Scientist IV at Belcan in Seattle, WA: https://lnkd.in/eYB9mjkX 2️⃣ [Yesterday] Machine Learning Scientist at JPMorgan in New York, NY: https://lnkd.in/ed8ssqaJ 3️⃣ [3 Days Ago] Senior MLE at Bumble in London: https://lnkd.in/eDUcw2zr If you're looking for jobs that require recommender systems experience, look no further: https://lnkd.in/g6SKFJMe #recommendersystems #jobs

🌟 𝐓𝐡𝐞 𝐑𝐢𝐬𝐞 𝐨𝐟 𝐐𝐮𝐚𝐧𝐭 𝐑𝐨𝐥𝐞𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐓𝐞𝐜𝐡 𝐅𝐢𝐞𝐥𝐝 📈🚀 I had recently explored a term "Quant" which is escalating quickly in today's tech world. A quantitative analyst or “quant” is a specialist who applies mathematical and statistical methods to financial and risk management problems in the tech world. In today's rapidly evolving tech industry, the demand for quantitative skills has reached an unprecedented level. From finance to data science, quantitative roles are reshaping the way businesses operate. But what does the future hold for this dynamic field? Let's dive right in! 💡💼🎯 When it comes to analyzing vast amounts of data, quant professionals are invaluable assets to any organization. Equipped with advanced mathematical modeling techniques, they uncover deep insights that drive informed decisions, boost profitability, and reduce risk. As technology fused with quantitative skills continues to revolutionize industries, we can't underestimate the role of quants 🖥️⚙️ 💼 The opportunities within the quant field are ever-expanding and diverse. With automation disrupting traditional job roles, the demand for quants is at an all-time high. Today's real market recognizes the undeniable value of quant skills. 🔍❗️ 🌐 Looking into the future, the potential for quants is limitless. They hold the key to unlock innovation across sectors like finance, technology, healthcare, and beyond. As society becomes data-driven, those adept in analyzing and exploiting these vast information resources will remain at the forefront of progress. 📊🔬So whether you're a mathematics enthusiast, an aspiring data scientist, or someone keen on harnessing the power of numbers, consider exploring a career in quantitative roles in the tech field. Embrace the endless opportunities, explore cutting-edge technologies, and position yourself for success in an era driven by data. 💪✨#QuantitativeSkills #TechIndustry #DataDrivenSuccess #Opportunities #FutureofWork

A Quantitative Scientist, often referred to as a Quant Scientist, is a professional who applies mathematical and statistical techniques to analyze and solve complex problems in various fields, particularly in finance, economics, and data science. The tasks of a Quant Scientist can vary depending on the industry and specific job role, but here are some common responsibilities: 1. Developing quantitative models: Quant Scientists create mathematical models to analyze and predict market trends, investment opportunities, or other phenomena of interest. They may use statistical techniques, machine learning algorithms, and data analysis to build these models. 2. Data analysis and interpretation: Quant Scientists collect and analyze large datasets, identifying patterns, trends, and correlations. They use statistical methods and programming languages (such as Python or R) to extract insights and draw meaningful conclusions from the data. 3. Risk management: In finance, Quant Scientists play a crucial role in assessing and managing risks associated with investments and financial products. They develop risk models to evaluate the potential risks and returns of various portfolios and trading strategies. 4. Algorithmic trading: Quant Scientists often work on developing algorithmic trading strategies. They use quantitative models and statistical analysis to identify profitable trading opportunities, build automated trading systems, and optimize trade execution. 5. Research and development: Quant Scientists stay up-to-date with the latest advancements in quantitative methods and financial markets. They conduct research to improve existing models, develop new techniques, and explore innovative approaches to problem-solving. 6. Collaboration and communication: Quant Scientists frequently collaborate with other professionals, such as traders, portfolio managers, and software developers. They need to effectively communicate their findings and insights to both technical and non-technical stakeholders. #QuantitativeScience #DataAnalysis #Mathematics #Statistics #Algorithm #Modeling #FinancialAnalytics #DataScience #Econometrics #MachineLearning #RiskManagement #QuantitativeResearch #PythonCoding #BigData

Hi All, My client is looking for a Machine Learning Engineer at Syracuse, NY (onsite only) Designing predictive models for self-running artificial intelligence (AI) software. Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations. Turning unstructured data into useful information  Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Documenting machine learning processes. Tools and frameworks. Advanced proficiency with Python, Java, and R code writing. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. In-depth knowledge of mathematics, statistics, and algorithms.  Qualification: BE / MCA Reach me on : dtrevor@futransolutions.com #Hiring #machinelearning #AI #artificialintelligence #Python #R #Java #benchsales #benchsalesrecuiters #benchsalesmarketing #Vendorlists #hotlists #c2c #MLframeworks #datamodeling #statistics Bala Chandra

Computer Scientist

Please spread the word -- Eagle Rock Analytics, Inc. is #hiring multiple Research Associates for summer employment.  Successful candidates will support one of the following initiatives: - Building the Cal-Adapt: Analytics Engine, a cloud based data platform which will enable powerful analysis in support of California’s Fifth Climate Assessment. - Researching and developing quality assurance and data wrangling approaches in support of the development of a cloud based repository of #weather observations. - Development of a #climate risk index for quantifying the impacts of climate adaptation and resilience investments. The Summer Research Associate position would be a good fit for a recent graduate or current graduate student looking for summer salary and experience.  Successful candidates will Share our values and vision, have a familiarity with #geospatial data and #python (or similar language) and have previously demonstrated capacity to work independently.  Full details are in the links below, which direct to full job-descriptions:   Summer Research Associate Position https://lnkd.in/eGd7HZyr    All our positions are remote, with flexible hours and a generous compensation package.  Learn more about what Eagle Rock Analytics does, our values and vision, and the open position on our website: eaglerockanalytics.com.  Check out our careers FAQ, or email us a question of your own to learn more about open positions, the application process, or Eagle Rock Analytics.   Application instructions are included in the job posting.  We’ll begin reviewing applications immediately, and will continue to review until the listings are removed from our website. About Us.  Eagle Rock Analytics is a small climate and environmental consulting firm, with a focus on applied research that transforms big geospatial data into understandable information that answers questions or advances the science.  We don’t take profits on public good projects, allowing us to prioritize our clients and stakeholders, maintain professionalism and scientific ethics, and do work without ego.  We’re hoping to find people to join our team who agree that slow, steady, methodical, and empathetic is better than a fast-paced, work-hard-play-hard, everyone is a unicorn/rockstar approach. Links. Full position description: https://lnkd.in/eGd7HZyr Careers FAQ: https://lnkd.in/eFaEK9n6 Our Work and Values: https://lnkd.in/ePDhBqBz https://lnkd.in/eWyWtgsS https://lnkd.in/eEDp5WZt