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RavenPack is the leading big data analytics provider for financial services. Financial professionals rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content. RavenPack’s products allow clients to enhance return...
About Us Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients i...
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Senior / Staff ML Researcher - London My client, an exciting, disruptive startup looking to make waves in the current market are looking to add to their growing team through the acquisition of a new Senior Staff ML Researcher. Our product will save t...
My client is a systematic hedge fund with offices across Europe, North America and Asia. The firm has a mandate for Quantitative Researchers who are specialised in Data Science, particularly forms of Machine Learning. Successful applicants will apply...
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The Team AHL Portfolio Management is the team responsible for the portfolio construction and investment management of the firm's flagship funds as well as the AIS (AHL Investment Solutions) business. The team has been running for several years. It ma...
About Man AHL Man AHL is one of the world's longest running diversified systematic investment managers, trading in over 800 markets globally and offering a range of absolute return and long-only quantitative strategies that invest across traditional ...
Responsibilities: Managing all aspects of the research process, including methodology selection, data collection and analysis, prototyping, backtesting, and performance monitoring Improvement of existing strategies Has experience on her/ his own rese...
Corporate Title: VP Location: London Job Purpose: To apply statistical methods to extract informational value from trade flow in order to optimize the pricing and liquidity to a diverse set of FX end users To research, test and implement quantitative...
Requirements:- You can be in the final year of your PhD or have just completed a PhD in Computer Science / Physics/ Maths / EE. A passion for maths/ problem solving. You should be familiar with Linux infrastructure as well as Python and C . You shoul...
The Team AHL's Fast Trading Strategies (FTS) team is responsible for the development of high Sharpe, fast frequency trading strategies across all asset classes. The team has been running for over a decade, and currently manages a large and successful...
Responsibilities: manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Indeoendently conducting quantitative finance research with a ...
Role:- Your role will involve developing trading strategies for cryptocurrencies, using the latest advances in scientific research using Artificial Intelligence, Machine Learning and other advanced mathematical and statistical tools . Researching hig...
You will join a small, prestigious mid-frequency systematic quant team at a highly successful proprietary trading firm. You will take ownership of the full lifecycle of creating market leading systematic trading strategies. This will consist of resea...
AI Content Tutor, Researcher and Junior Editor 25,000 - 33,000 per annum London - Hybrid Are you a creative writer, an English Language Graduate, with a keen interest in Technology Products and Services, Excellent research skills and a desire to harn...
An International media company is now recruiting a Japanese speaking Researcher/Reporter to join their friendly team in London. This is a rare and great opportunity who has strong interests with current affairs and eager to work within Media industry...
Business Analyst and User Researcher | Inside | SC Cleared SR2 is working closely with a leading consulting firm in London to grow DDaT teams for an upcoming public sector project, which will require a Business Analyst with User Research experience ..
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Role:- Conduct quantitative research with PM and other quants to develop and back-test different machine learning and statistical models, as well as productionize such models. Combine sound financial insights and machine learning techniques to explor...
Our client, a leading organization in finance, technology and financial news sector, is looking for a diligent and highly motivated individual to join their dynamic team. This is a temporary contract until the end of 2024 (likely to be extended) with...
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Role:- Working alongside the PM on developing trading strategies, with a primary focus on: idea generation, data gathering and research/analysis, model implementation and backtesting for systematic equity strategies Combine sound financial insights a...
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SC Cleared User Researcher | Public Sector | Hybrid SR2 is partnered with a leading UK Consultancy to support the scaling of teams for an upcoming public sector workstream, which will require multiple User Researchers. This project is a key piece of ...
My client is a leading systematic hedge fund which is expanding their presence in HFT and short-term trading in equities and futures. This firm trades on key exchanges such as CME, ICE, and Eurex, and has low cost, cutting-edge infrastructure. The fi...
Role:- Researchers are responsible for conducting quantitative research using statistical and predictive modelling techniques. Research and implement various trading strategies Identify new trading opportunities by using statistical methods and analy...
Role:- You will be involved in proprietary research and developing enhanced solutions to deliver them into production. You will be joining a team of researchers with doctoral and post-doctoral degrees in Mathematics and Computer Science. Requirements...
The primary focus of this role will be on the research and development (R&D) of new systematic equity vol strategies within the Quantitative Investment Strategies (QIS) context. This role will encompass the full spectrum of index development, from im...
Role:- Managing all aspects of the research process, including methodology selection, data collection and analysis, prototyping, back-testing, and performance monitoring Improvement of existing strategies Portfolio optimization Evaluating new dataset...
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