Position: Junior Quantitative Analyst - Trading Location: London Compensation: Competitive salary + benefits About the Role An exceptional opportunity has emerged for a driven Junior Quant Analyst to join a market-leading quantitative trading firm. This position offers hands-on experience in developing and implementing sophisticated trading strategies within a cutting-edge environment. Primary Focus You will be instrumental in building and optimising quantitative trading models, working alongside senior analysts and portfolio managers to drive data-informed trading decisions across multiple asset classes. Key ResponsibilitiesDesign and implement robust quantitative trading modelsPerform comprehensive market analysis using advanced statistical methodsCollaborate with senior team members to refine trading strategiesResearch and develop systematic approaches across diverse asset classesExecute ongoing performance monitoring and model refinementPresent analytical findings to key stakeholdersRequired Experience & Skills6-12 months demonstrable trading experienceStrong programming capabilities in Python, R, or MATLABProven track record in statistical analysis and machine learningExpert data manipulation and analysis skillsOutstanding problem-solving abilitiesExcellent communication and presentation capabilitiesAbility to thrive in a fast-paced trading environmentTechnical ProficienciesStatistical modelling and analysisMachine learning applicationsData manipulation and cleansingAlgorithm developmentPerformance analyticsWork Requirements Must have existing right to work in the UK. No visa sponsorship available. Benefits PackageIndustry-competitive compensationHybrid working arrangementsComprehensive professional developmentAccess to cutting-edge technologyModern office environmentCollaborative team cultureCareer Development This role provides an exceptional platform for career advancement within quantitative trading, offering exposure to innovative projects and the opportunity to shape the future of algorithmic trading strategies.....Read more...
Overview of the companyA distinguished player in the quantitative trading industry, renowned for delivering best-in-class solutions to financial institutions, hedge funds, and technology organizations. With over 15 years of expertise, they are at the forefront of quantitative trading technology and business development, navigating the complexities of the electronic trading landscape to achieve strategic objectives.Overview of the roleWe are seeking a skilled Quant Analyst to join the London team. The ideal candidate will bring experience in quantitative analysis, a deep understanding of financial markets, and a passion for leveraging data to drive trading strategies. This role involves close collaboration with various teams to develop and optimise trading models and strategies.Key responsibilitiesDeveloping, implementing, and maintaining quantitative models for trading strategies.Conducting rigorous data analysis to identify market opportunities and risks.Work closely with senior analysts and portfolio managers to implement data-driven insights.Contribute to the research and development of systematic strategies across multiple asset classes.Continuously monitoring and improving model performance.Communicating findings and recommendations to stakeholders.Key requirementsStrong analytical and problem-solving skills with attention to detail.Track record of 6-12 months of real-world trading experience. Proficiency in programming languages such as Python, R, or MATLAB.Experience with statistical analysis, machine learning, and data manipulation.Excellent problem-solving skills and attention to detail.Ability to work effectively in a collaborative, fast-paced environment.Strong communication skills to present complex concepts clearly.Perks and benefits of the roleCompetitive Salary based on experienceFlexible hybrid working model.Opportunities for professional growth and development.Exposure to cutting-edge technology and innovative projects.Collaborative and inclusive company culture.....Read more...
