101 to 125 of 140 Statistical Analysis Jobs in London

scope includes products such as stocks, options, ETFs, and futures, with strategies like market making, automatic quoting, risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance and collaborate closely with traders and sales to deliver value to clients and the firm. Role Responsibilities Lead our Quantitative … Trading & Market Making desk, developing market making and quoting strategies for equities, from cash to derivatives. Apply advanced statistical analysis and techniques like neural networks to create models that inform systematic trading and risk management decisions in real time. Develop frameworks for risk management and portfolio optimization across asset classes using factor models and other methods. Create model … calibration frameworks for advanced statistical and AI models, handling large-scale time series data. Advance our market making strategies using diverse technologies and collaborate with Quant Developers and engineering teams. Basic Qualifications Strong academic background in physics, mathematics, statistics, engineering, or computer science. Proficient programming skills in languages such as C++, Java, or Python. Self-motivated with excellent self More ❯

product types such as stocks, options, ETFs, and futures, with strategies including market making, automatic quoting, central risk management, systematic trading, and algorithmic execution across global venues. We deploy statistical analysis and mathematical models to enhance business performance, collaborating with traders and sales on the trading floor to deliver value to clients and the firm. Role Responsibilities Lead … our Quantitative Trading & Market Making desk by developing market making and quoting strategies across equity products, from cash to derivatives. Utilize advanced statistical analysis and techniques such as neural networks to build models that inform systematic trading and risk management decisions in real time. Implement frameworks for centralized risk management and construct optimal portfolios across asset classes using … factor models and other techniques. Develop model calibration frameworks for our statistical and AI models, operating at scale with large datasets of time series data. Advance our market making strategies using various technologies and collaborate closely with Quant Developers and engineering teams. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering, or More ❯

You will join us as our new Data Scientist who will help us understand player behaviour across the portfolio of mobile games. Your primary focus will be in doing statistical analysis, using causal inference and building time-series/segmentation models. You will be working closely with our User Acquisition and Customer Support teams. Why this role? An … What Will You Be Doing? Use simple analytics, causal inference, machine learning or any other techniques to understand how users move across apps in our portfolio Based on your analysis/modelling, make recommendations for optimal cross-promotional and user acquisition strategies Through dialogue with the business teams, formulate questions and projects that lead to improved efficiency in marketing … You will join us as our new Data Scientist who will help us understand player behaviour across the portfolio of mobile games. Your primary focus will be in doing statistical analysis, using causal inference and building time-series/segmentation models. You will be working closely with our User Acquisition and Customer Support teams. Why this role? An More ❯

/road map for them to follow. Ideally, you will have experience with a previous property company, either in Real Estate or Proptech. Required: Understanding of predictive models and statistical analysis Highly skilled in Python and R Start-up experience/being the 1st hire within Data Science previously Data Visualization tools Knowledge of SQL, Excel, and desirably More ❯

includes product types such as stocks, options, ETFs, and futures, with strategies like market making, automatic quoting, risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance, collaborating with traders and sales on the trading floor to deliver value to clients and the firm. Role Responsibilities Lead … strategies across equity products, from cash to derivatives. Implement automated hedging algorithms and develop platforms for centralized risk management across asset classes. Build and enhance data pipelines for advanced statistical and AI models, handling large-scale time series data. Drive the development of our market making platform using various technologies, working closely with Quant Researchers and engineering teams. Take More ❯

various marketing technology platforms like CRM, DAM, dynamic creative optimization (DCO), GenAI, Deep Learning, CDP, marketing automation tools, email marketing platforms, social media management tools, analytics platforms, etc. Data analysis skills: Proficiency in data manipulation, statistical analysis, and data visualization tools to extract meaningful insights from marketing data. Marketing strategy expertise: Strong understanding of marketing principles, customer More ❯

as stock, options, ETFs and futures, with strategies including market making, automatic quoting, central risk books, systematic trading and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models to improve business performance while working closely with traders and salespeople on the trading floor to bring value to our clients and the … across equities products from cash to derivatives. Implement automated hedging algorithms, and build platforms to manage risk centrally across asset classes Build and expand data pipelines for our advanced statistical and AI models, operating at scale with large quantities of time series data Drive our market making platform development using a range of technologies, and collaborate closely with Quant More ❯

as stock, options, ETFs and futures, with strategies including market making, automatic quoting, central risk books, systematic trading and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models to improve business performance while working closely with traders and salespeople on the trading floor to bring value to our clients and the … across equities products from cash to derivatives. Implement automated hedging algorithms, and build platforms to manage risk centrally across asset classes Build and expand data pipelines for our advanced statistical and AI models, operating at scale with large quantities of time series data Drive our market making platform development using a range of technologies, and collaborate closely with Quant More ❯

between. Whether a fund investor, manager or advisor, the Alternative Investment Funds team has the data, solutions and industry network to help the clients take their fund and company analysis to the next level. What's the role : The Alternatives Technical Account Managers are a group of individuals who play a vital role in delivering exceptional service and technical … and verbal communication skills We'd love to see : Experience in using business intelligence to identify gaps and trends, or opportunities for product enhancements Knowledge in information technology and statistical analysis or computer programming for example Excel, SQL, and/or Python Does this sound like you? Apply if you think we're a good match. We'll More ❯

applications at significant scale. You will provide the science leadership for automatic moderation detections that reduce customer frustration in the screening and remediation of creatives. Key job responsibilities • Use statistical analysis, machine learning and LLM techniques to create scalable solutions for business problems • Analyze and extract relevant information from large amounts of both structured and unstructured data • Design … experiment and evaluate highly innovative models for regression and classification challenges • Maintain, evaluate and improve existing models • Research and implement novel machine learning and statistical approaches • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation together with software engineering teams BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in More ❯

to 75% travel expected. BASIC QUALIFICATIONS Bachelor degree in Engineering for related area. Experience in technical support with mechatronic or robotic systems. Knowledge and/or experience working with statistical analysis tools, data visualization, and program management. Experience in leading or supporting disciplined technical problem-solving. Experience in ownership or contribution to system-wide processes such as 8D … Why, Fishbone, FMEA, or comparable root cause analysis methodologies. Excellent communication skills with the ability to articulate complex technical issues. Ability to manage multiple high-priority tasks simultaneously. PREFERRED QUALIFICATIONS Master's degree in Engineering for related area. Knowledge and or working experience in dealing with big data. Familiarity with PLC programming. Familiarity with industry standard CAD & FEA design More ❯

from conception to deployment - Experience in advising, defining and applying best practices, evaluating alternative and complementary ML and foundational models suitable for given business contexts - Experience in data modeling, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets - Experience in mentoring junior team members, and guiding them on creating end to end More ❯

to ensure all audit activities proceed smoothly. Supervising the teams processes and data flow within Pantheons systems of record. Ensuring data quality targets are met, overseeing integrity checks and statistical analysis techniques. Guiding the team through complex queries or valuations, providing expert oversight. Monitoring and updating the valuations operating model, including control framework Lead on areas of transformation More ❯

as stock, options, ETFs and futures, with strategies including market making, automatic quoting, central risk books, systematic trading and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models to improve business performance while working closely with traders and salespeople on the trading floor to bring value to our clients and the … firm. Role Responsibilities Take a leading role on our Quantitative Trading & Market Making desk, building market making and quoting strategies across equities products from cash to derivatives. Use advanced statistical analysis and quantitative techniques such as neural networks to build models that drive systematic strategies which make trading and risk management decisions in real time. Implement frameworks to … manage risk centrally and build optimal portfolios across asset classes using factor models and other techniques Build model calibration frameworks for our advanced statistical and AI models, operating at scale with large quantities of time series data Drive our market making strategy development using a range of technologies, and collaborate closely with Quant Developers and core engineering teams Basic More ❯

wide range of products, including stocks, options, ETFs, and futures, with strategies like market making, automatic quoting, risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance, collaborating closely with traders and sales on the trading floor to add value for clients and the firm. Role Responsibilities … Lead our Quantitative Trading & Market Making desk, developing market making and quoting strategies for equities, from cash to derivatives. Apply advanced statistical and quantitative techniques, including neural networks, to build models that support systematic trading strategies and real-time risk management decisions. Develop risk management frameworks and construct optimal portfolios across asset classes using factor models and other techniques. … Create model calibration frameworks for advanced statistical and AI models, handling large-scale time series data. Advance market making strategies through technological collaboration with Quant Developers and engineering teams. Basic Qualifications Strong academic background in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science. Proficiency in programming languages such as C++, Java, or Python, with More ❯

of products such as stocks, options, ETFs, and futures, with strategies including market making, automatic quoting, central risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance, collaborating closely with traders and salespeople to deliver value to clients and the firm. Role Responsibilities Lead our Quantitative Trading … Market Making desk by developing market-making and quoting strategies across equity products, from cash to derivatives. Employ advanced statistical and quantitative techniques, such as neural networks, to develop models that inform systematic trading and risk management decisions in real-time. Implement risk management frameworks and construct optimal portfolios across asset classes using factor models and other advanced techniques. … Create model calibration frameworks for our statistical and AI models, handling large-scale time series data efficiently. Advance our market-making strategies by utilizing various technologies and collaborating closely with Quant Developers and engineering teams. Basic Qualifications Outstanding academic achievement in a relevant quantitative discipline such as physics, mathematics, statistics, engineering, or computer science. Strong programming skills in object More ❯

of products such as stocks, options, ETFs, and futures, with strategies including market making, automatic quoting, central risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance, collaborating closely with traders and salespeople to deliver value to clients and the firm. Role Responsibilities Lead our Quantitative Trading … Market Making desk by developing market-making and quoting strategies across equity products, from cash to derivatives. Employ advanced statistical and quantitative techniques, such as neural networks, to develop models that inform systematic trading and risk management decisions in real-time. Implement risk management frameworks and construct optimal portfolios across asset classes using factor models and other advanced techniques. … Create model calibration frameworks for our statistical and AI models, handling large-scale time series data efficiently. Advance our market-making strategies by utilizing various technologies and collaborating closely with Quant Developers and engineering teams. Basic Qualifications Outstanding academic achievement in a relevant quantitative discipline such as physics, mathematics, statistics, engineering, or computer science. Strong programming skills in object More ❯

design, and implement a cutting-edge Observability Platform to support metrics, logs, traces, and events at scale. Integrate ML/AI-driven solutions to enhance anomaly detection, root cause analysis, and predictive insights. Lead the development and adoption of platform capabilities to ensure system health, reliability, and performance. Establish and evolve platform standards and best practices to align with … cost efficiency. Define SLAs, SLOs, and SLIs for observability services to support reliability engineering practices. Continuously improve MTTD and MTTR by leveraging advanced AI/ML models for predictive analysis and automated responses. Mentorship and Collaboration Act as a mentor and technical leader for engineers, fostering a culture of learning, innovation, and excellence. Collaborate with stakeholders, including Site Reliability … Optimization: Familiarity with strategies for managing the costs associated with observability data storage, processing, and analysis. Desirable Qualifications: Expertise in applying AI/ML for proactive alerting , root cause analysis, and predictive scaling. Experience with service mesh technologies (e.g., Istio, Linkerd) and their observability implications. Contributions to open-source observability or ML/AI projects. Proficiency with container technologies More ❯

insights. - Stakeholder Engagement: Communicate effectively across technical and non-technical teams. - Data Engineering: Basic skills in SQL and big data tools (e.g., Athena). - Experimentation: A/B testing, statistical analysis, performance metrics. - Compliance: Knowledge of data privacy (GDPR), PII handling. - Agile Working: Experience in Agile/Scrum teams (Jira, Azure DevOps). Essential Skills & Experience More ❯

from conception to deployment - Experience in applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts - Foundational knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services More ❯

tier financial institution Strong understanding of data structures, algorithms, and memory optimisation techniques, with a proven track record of developing memory-efficient software solutions Proficiency in quantitative mathematics and statistical analysis, with experience in implementing mathematical models and algorithms for trading and risk management Experience with cryptocurrency markets, trading platforms, and blockchain technology is a plus but not More ❯

loved national newspapers. Take stock of their full range of advertising products. Carry out a range of analytical techniques & tests to identify opportunities for improvement. Take ownership of the analysis across all commercial products (display, video, mobile, programmatic, social, native), considering viewability, interaction, and engagement metrics. Create dashboards and deliver usable insights to help steer product roadmaps. Utilize tools … such as SQL, R, Hadoop, Excel to hypothesize and perform statistical analysis, AB tests, and experiments to measure the impact of product initiatives on revenue, technical performance, advertiser & reader engagement. Candidates should have analysis experience within the digital advertising industry and familiarity with various ad products. Salary circa £40-55k plus bonus & a strong benefits package. More ❯

Your deliverables will include development of thermal solutions, concept design, feature development, product architecture and system validation through to manufacturing release. You will support creative developments through application of analysis and testing of complex electronic assemblies using advanced simulation and experimentation tools and techniques. Key job responsibilities In this role, you will: - Evaluate and optimize thermal solution requirements of … consumer electronic products - Use simulation tools like Star CCM/FloTherm XT/EFD for analysis and design of products - Validate design modifications for thermal concerns using simulation and actual prototypes - Establish temperature thresholds for user comfort level and component level considering reliability requirements - Have intimate knowledge of various materials and heat spreaders solutions to resolve thermal issues - Use … of programming languages like Python and Matlab for analytical/statistical analyses and automation - Collaborate as part of device team to iterate and optimize design parameters of enclosures and structural parts to establish and deliver project performance objectives - Design and execute of tests using statistical tools to validate analytical models, identify risks and assess design margins - Create and More ❯

Head of Data Science required by a Media Publishing company to head up and grow a Data Science team. The team will be focused on Machine Learning & Statistical Analysis techniques to develop impactful solutions for the business. Initially you will lead a small team of Data Scientists, with strong growth forecast for the coming year. Allied to team … data science toolkits, such as Python - Proficiency in using query languages such as SQL on a big data platform e.g. Hadoop, Hive - Good applied statistics skills, such as distributions, statistical testing, regression, etc. - Good scripting and programming skills It would be desirable for the successful candidate to come from a Media or Publishing background ideally, although we will accept More ❯

Engineering, ideally as part of a cross functional 'squad'. Experience working as either a Lead, mentor or manager within an Analytics team. Familiarity with multiple experimentation and experiment analysis techniques, including Bayesian and Causal Inference. Modeling Skills: Experience working on advanced modelling concepts. SQL and Statistical Analysis: Strong proficiency in SQL and statistical methods for … analyzing complex data sets. Proven experience in conducting impact analysis to assess viable opportunities and scoping their relevance. Track Record: A successful track record of managing complex projects that involve cross-functional teams and senior stakeholders. Highly autonomous and comfortable with accountability; experience working across all levels within an organisation. Behavioral Qualities: Strong commitment to team success and Lyst More ❯