Quantitative Researcher | Trading team
2 days ago
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.What You'll Do:Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump’s Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business teams to push for the best expression of our new ideas. Other duties as assigned or needed.Skills You’ll Need:Proven success with profitable trading strategies.Strong programming skills in C++/Python in a Linux environment.Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks, or support vector machines.Strong experience developing statistical models in a trading environment.Proven success working with large data sets and developing statistical models.Fascinated and interested in advancing machine learning within the trading community.Possess strong familiarity with Python, R or MATLAB along with development skills to support research efforts.Masters or PhD in Statistics, Physics, Mathematics (or related subject).Desire to work within a collaborative, team-driven environment.Reliable and predictable availabilityBenefits include:Private Medical, Vision and Dental InsuranceTravel Medical InsuranceGroup Pension SchemeGroup Life Assurance and Income Protection SchemesPaid Parental LeaveParking and Cycle Schemes #J-18808-Ljbffr
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Quantitative Researcher
7 days ago
London, Greater London, United Kingdom Jump Trading Full time £80,000 - £150,000 per yearJump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a...
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Quantitative Researcher – Trading ML
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London, United Kingdom Jump Trading Full timeJoin a forward-thinking company that thrives on innovation and collaboration. As a Quantitative Researcher, you will leverage your expertise in statistical analysis and machine learning to drive insights from vast data sets, contributing to the development of profitable trading models. This role is perfect for those who are passionate about pushing the...
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Quantitative Researcher | Trading team
4 days ago
City Of London, United Kingdom P2P Full timeOverviewJump’s London office is the hub for managing Jump’s substantial United Kingdom, European and expanding Middle Eastern operations, which includes all aspects of Jump’s robust activities, including quantitative research and development, trading, trading and back office systems development, and venture and strategic investments. Working in the...
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Campus Quantitative Researcher
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London, Greater London, United Kingdom Jump Trading Full time £60,000 - £120,000 per yearJump Trading is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless...
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Trading Quantitative Researcher
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London, Greater London, United Kingdom BlackRock Full time £60,000 - £120,000 per yearLocations: London, United KingdomJob descriptionAbout this roleBlackRock Global Markets (BGM) brings together BlackRock's global trading, financing and financial resource management, securities lending, ETF markets, cash management, and index investments businesses to deliver investment, trading, financing, and risk management excellence for clients. Trading...
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London, United Kingdom Oho Group Full timeQuantitative Researcher - Python Quantitative Researcher is required for a leading statistical and trading firm specialising in complex modelling of sporting events. The Quantitative Researcher will devise and implement strategies to exploit market inefficiencies using their own home-grown software. As a Quantitative Researcher your role will be around...
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Quantitative Researcher
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london, United Kingdom Bowden Brown Full timeQuantitative Researcher - London We're working with a quantitative hedge fund that is looking to hire quantitative researchers in their growing London office. You would be an early member of the group, working under the direction of the team lead who has recently joined the firm. He has impressive credentials, and this is a fantastic opportunity to be doing...
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Quantitative Researcher
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Quantitative Researcher
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London, United Kingdom Anson Mccade Full timeQuantitative Researcher £150,000 GBP + £100,000 Onsite WORKING Location:Central London, Greater London - United KingdomType:PermanentMy client is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for their...