676 to 700 of 702 Statistics Jobs in London

Drive the development of scalable research tools, datasets, and modelling frameworks that increase team productivity. Skills & Experience Master’s or PhD in Machine Learning, Statistics, Mathematics, Computer Science, Engineering, Physics, or another quantitative discipline. 5+ years of experience developing systematic, intraday horizon trading strategies, predictive models, and alpha signals. Demonstrated … Strong practical experience applying machine learning techniques to prediction problems, with a clear understanding of overfitting risks and robust model validation. Deep understanding of statistics, experimental design, hypothesis testing, and research methodology. Strong programming skills in Python. Excellent communication and collaboration skills, with the ability to work effectively across research ...

varied career pathways for those driven to achieve exceptional results through collective effort. Minimum qualifications: Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience. Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch). Experience working in industry, working on projects from proof … Preferred qualifications: Experience in inference optimization. Experience with data pipelines. Experience with training large-scale models. Cross-functional collaboration experience. Knowledge of machine learning, statistics, and diffusion model theories. Responsibilities: Apply research ideas to high-impact real world problems through prototyping, dataset curation, model training, performance optimization, and deployment. Develop ...

varied career pathways for those driven to achieve exceptional results through collective effort. Minimum qualifications: Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience. Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch). Experience working in industry, working on projects from proof … Preferred qualifications: Experience in inference optimization. Experience with data pipelines. Experience with training large-scale models. Cross-functional collaboration experience. Knowledge of machine learning, statistics, and diffusion model theories. Responsibilities: Apply research ideas to high-impact real world problems through prototyping, dataset curation, model training, performance optimization, and deployment. Develop ...

trading and simulation at scale. The Role We are looking for a Quant Researcher with a PhD in Particle Physics, Applied Mathematics, Computer Science, Statistics, Engineering, or a similarly quantitative field. Your work will directly influence the development of our trading engines, volatility prediction models, dynamic thresholds, and multi-layered … time-series prediction Exposure to FX, crypto, or high-frequency data Experience designing or evaluating algos, simulations, or optimisation routines Understanding of statistics, stochastic processes, PDEs, or signal processing Curiosity about agent-based modelling, reinforcement learning, or market regimes Why Join Us Work directly with founders on real trading systems ...

results of their research to make forecasts and develop profitable predictive trading models. What You’ll Do: The ideal person will apply math, statistics, and machine learning techniques to identify patterns and predict market signals in global derivatives space. Jump’s quantitative researchers are constantly collaborating with other scientists, traders … derivatives market complexity, product structure and market mechanisms Solid development skills in Python and/or C++ Master or PhD degree in applied mathematics, statistics, operations research, machine learning, physics, and science related subjects from top tier university Reliable and predictable availability Benefits Discretionary bonus eligibility Medical, dental, and vision ...

share your preferred working location from the following: London, UK; Zürich, Switzerland . Minimum qualifications: Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience. Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch). Experience working in industry, working on projects from proof … Preferred qualifications: Experience in inference optimization. Experience with data pipelines. Experience with training large-scale models. Cross-functional collaboration experience. Knowledge of machine learning, statistics, and diffusion model theories. About the job At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests ...

Python skills, including NumPy and Pandas Experience with AI agent design and frameworks, including ADK, LangChain, and AutoGen Strong machine learning, deep learning, and statistics background Hands-on experience with LLMs and generative AI Knowledge of GCP, Vertex AI, BigQuery, and MLOps is a bonus Ability to work inside IR35 … resume keywords Expert Python Skills AI Agent Design LLM Fine-Tuning GCP Integration Machine Learning Hard Skills Python NumPy Pandas Machine Learning Deep Learning Statistics LLMs Generative AI AI Agent Frameworks MLOps Industry Keywords AI Solutions Multi-Agent Systems Evaluation Frameworks Performance Security IR35 Compliance Tools & Technologies GCP Vertex ...

firm's research and trading framework. Requirements for a Quantitative Researcher: Master's degree or PhD in a quantitative discipline such as Physics, Engineering, Statistics, Applied Mathematics, Quantitative Finance, or a related field with a strong statistical foundation. Strong programming skills in Python, with the ability to develop efficient … scalable research tools. Solid understanding of applied statistics, linear algebra, and time series analysis. Experience working with large and complex datasets, including data cleaning, transformation, and analysis. Knowledge of financial markets and an interest in quantitative investing and trading strategies. Self-motivated individual who takes ownership of projects and delivers ...

most comprehensive experimentation and product analytics platforms on the market. As an Customer Data Scientist, you will combine deep experimentation expertise, applied statistics, and customer-facing technical consulting to help some of the world's most sophisticated product and engineering organisations evaluate, adopt, and scale modern experimentation programs. This … based on customer needs and market feedback. At a minimum, you need to have: 5+ years of experience in Data Science, Experimentation, Analytics, Applied Statistics, or a related field with a strong foundation in experimental design and causal inference. Hands‐on experience designing, running, and analyzing A/B tests ...

Citigroup Inc. in London is seeking a Quantitative Analyst to develop analytics libraries for pricing and risk management and to create advanced quantitative models for trading. The role emphasizes collaboration with Traders, Structurers, and technology ...

Hidden Data Scientist/ML Engineer - Passenger/Supply/Matching/Mapping We are looking for mid-level and senior Data Scientists/ML Engineers at Wheely. You will own the entire process of ...

About Atrium In a world of constant change, you need an insurer who has stood the test of time. Our reputation is built on consistency, expertise, and a client-first approach. We manage Syndicate 609 ...

King's College London invites applications for a Research Fellow in Early-Phase and Digital Health Trial Statistics within the Unit for Medical Statistics, School of Life Course & Population Sciences. You will contribute to trial design, analysis planning, interim and final analyses, and regulatory reporting, working with a multidisciplinary team ...

evaluate new datasets for stock return predictions Maintain and improve the portfolio trading in the production environment Requirements: MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics Demonstrated proficiency in Python Strong command of foundations of applied statistics ...

stock return predictions Maintain and improve the portfolio trading in the production environment Requirements for a Quantitative Researcher: MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics Demonstrated proficiency in Python Strong command of foundations of applied statistics ...

role in the team will be influential and crucial to the teams continuing success. Python Developers MUST have: Minimum MSc in Computer Science/Statistics with Top Academic GradesStrong Computer Science fundamentalsVery strong Python coding and other functional languagesHave not moved jobs every yearStrong statistics understandingAn interest or experience ...

full-time permanent Lecturer/Senior Lecturer (equiv Assistant/Associate Professor) in Artificial Intelligence/Machine Learning/Data Science/Statistics at Imperial College London Oct 30, 2023 I am excited to announce that Imperial College London invites applications for one full-time permanent faculty member position … Lecturer (equivalent to Assistant Professor) level, based both in the Statistics Section of the Math Department and the College’s Imperial-X (I-X) initiative. Imperial-X brings academia and industry together to tackle the world’s greatest challenges using machine learning, and throwing out the rule book ...

testing our systems to enhance the performance of our delivery across the tours. Creative : Working closely with TV directors and external broadcasters to provide statistics and storytelling of insights across tennis matches during live broadcasts. Operations : Reviewing, improving and strategising how we improve the efficiency of delivery across the globe. … global tennis events framework; Willingness to learn about cloud-based architectures; Ability to be flexible with working hours; Have an interest in statistics; Some knowledge of programming languages Data Analytics Experience Not necessary but advantageous: Experience using data and analytics tools such as Datadog and Splunk We are... Brave ...

including Microsoft Office Other Essential Ability to sustain the attention to detail required for checking documents/records, writing reports and protocols and analysing statistics, interruptions to deal with staffing or project issues Concentration required when analysing data, checking and reconciling information, answering queries from staff, etc. Must be able … including Microsoft Office Other Essential Ability to sustain the attention to detail required for checking documents/records, writing reports and protocols and analysing statistics, interruptions to deal with staffing or project issues Concentration required when analysing data, checking and reconciling information, answering queries from staff, etc. Must be able ...

About Claranet Founded at the beginning of the dot.com bubble in 1996, our CEO Charles Nasser had a light bulb moment to develop a truly customer-focused IT business. Since then, Claranet has grown from ...

Cross Asset Model Validation Quant Quant Capital is urgently looking for a Model Validation Quant to join our high profile client. Our client is a well known tier 1 bank based in the city. The ...

A leading global investment firm seeks an experienced individual for their Algo R&D team based in London. The role involves enhancing execution algorithms and conducting quantitative research. Candidates should have at least 5 years ...

Semaloop Our mission is to build the operating layer for mobile development. The first part of that journey is to build the best tool to help teams catch mobile bugs, by deploying agents using computer ...

Optimizely is seeking a statistics-focused professional to advance our experimentation platform from London. You will articulate how we maintain statistical accuracy on customer calls, educate stakeholders through webinars, blogs, and white papers, and collaborate with product and engineering to build new statistics/ML features across Optimizely’s products. ...

ready models that model participant supply, demand and quality, and improve how participants are matched to studies. This role blends data science, ML and statistics, focusing on turning promising ideas into deployed solutions while mindful of production constraints. You will work with product and engineering teams to define problems … experiments, bringing depth in ML and statistics to real-world #J-18808-Ljbffr ...