101 to 125 of 280 Statistics Jobs in London

scale datasets to extract precise, detailed market insights. Advanced experience using Microsoft Excel for complex data modelling and reporting. An educational background in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field. Exceptional communication skills demonstrated by the ability to translate complex statistical data into clear, actionable business strategies ...

experience in model validation or front office in an area of electronic trading (either agency or market making) Excellence in probability theory, stochastic processes, statistics, and numerical analysis. Strong understanding of option pricing theory and quantitative models for derivatives. Excellent communication skills (written and verbal) Risk and control-oriented mindset ...

products - from problem framing and experimentation through to globally deployed, production‐grade solutions Published papers in top conferences in ML/Statistics/Maths/compsci. Experience with pre‐training or continued pre‐training of large language models, including data curation, curriculum design, and training stability at scale Expertise ...

Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus Collaborative, humble and enthusiastic attitude Preferred qualifications, capabilities and skills Experience deploying on AWS cloud infrastructure using Lambda, Glue ...

across illiquid mortgage credit, including collateral analysis, recovery assumptions and structural waterfalls REQUIREMENTS Masters degree or PhD in Mathematics, Physics (non‐experimental), Probability/Statistics, Engineering, or (Mathematical) Finance Must have a familiarity with mortgage products, Intex and data analysis or empirical modelling is a strong plus alongside asset‐backed ...

solving skills Candidates should have at least three of the following skills Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions Experience with large scale data sets with structured or unstructured data Experience in building user facing applications over large amounts ...

marketing, ecommerce, loyalty, or subscription environments Advanced Python and SQL skills Experience building predictive models and deploying data-driven solutions Strong understanding of experimentation, statistics, and machine learning Excellent stakeholder management and communication skills Experience with Databricks and ML lifecycle tools is beneficial ...

looking for PhD completed or nearing completion (within next 12 months max) from a leading global university Strong academic background in Mathematics, Statistics, Physics, Computer Science, Machine Learning, Econometrics, Operations Research or a related quantitative field Evidence of exceptional research ability, such as publications, academic awards or work on technically ...

Linux/Unix platforms. Experience with Python, Java, Kubernetes, and Docker. Basic understanding of financial markets and concepts, with prior industry experience. Familiarity with statistics, stochastic processes, and discrete mathematics. #J-18808-Ljbffr ...

exposure to tools such as Meridian, Robyn, or PyMC Proficiency in Python and experience working with cloud platforms such as GCP Understanding of Bayesian statistics and marketing attribution concepts Ability to communicate technical findings clearly to non-technical audiences Interest in applying AI tools to enhance data science workflows What ...

optimize model performance in live trading environments. Basic Qualifications Education: Ph.D. or Master’s degree in Machine Learning, Computer Science, Physics, Applied Mathematics, Statistics, or a closely related quantitative discipline from a top-tier academic institution. Programming Expertise: Advanced proficiency in Python and C++ within a Linux/UNIX environment. ...

actionable * Lead collaboration with stakeholders, integrating data from multiple sources and partners to deliver holistic business insights Qualifications * Post graduate Degree in business, economics, statistics, mathematics, engineering or finance * Minimum 3 years' relevant analytics experience with a background in quantitative business analysis and statistical techniques; experience in risk analytics, digital ...

remediation of model issues before deployment and drive incremental improvement to model performance assessment tools. Qualifications Master’s degree or PhD (preferably in Mathematics, Statistics, Physics or related field). Experience in quantitative modelling for a global financial institution. Strong programming skills in C++ and Python; solid understanding of software ...

entitlements and distribution processes is a plus. Experience supporting interconnected front-office platforms. Education: Degree in a quantitative discipline such as Mathematics, Physics, Engineering, Statistics, or Computer Science. A postgraduate qualification (PhD, MSc, or equivalent) is beneficial but not essential. Join our client's dynamic Market Publication Team and make ...

platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about DRW’s processing activities and our use of job applicants’ data, please view our Privacy ...

Laptop set up with a good internet connection. Preferred Qualifications: Candidates pursuing a Master’s/Ph.D./Postdoctoral degree in Mathematics, Applied Mathematics, Statistics, or a related field are eligible and encouraged to apply. Ability to analyze and solve complex math problems with a structured and logical approach. Ability ...

Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating ...

Senior Business Data Scientist, gTech Ads Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Experience with business or forecasting modeling. ...

algorithms, tuning, and performance evaluation. Experience with a range of feature engineering techniques (e.g., target encoding). Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation. Experience in writing clean, production‐grade Python code for both model training and inference. Excited to leverage LLMs for coding support ...

behaviour align with the firm's risk and conduct standards. Qualifications Demonstrated software engineering ability in C++ and Python with practical experience. Knowledge of statistics, probability theory, and their application to the evaluation and risk assessment of complex financial instruments. Ability to design and implement numerical schemes and solve analytical ...

risk and conduct standards. What we’ll need from you Demonstrated software engineering ability in C++ and Python with practical experience. Knowledge of statistics, probability theory, and their application to the evaluation and risk assessment of complex financial instruments. Ability to design and implement numerical schemes and solve analytical equations ...

initiativesMinimum Qualifications:Strong background in Machine LearningStrong programming skills in Python or C++Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related ...

members, with optional management responsibilities Required Qualifications, Capabilities, and Skills: Experience in machine learning engineering roles Degree in a quantitative discipline (Computer Science, Mathematics, Statistics) Proven ability to develop and deploy business-critical, data-intensive applications Extensive experience with AWS and Kubernetes Proficiency with lower-level libraries such as PyTorch ...

flows. Proficiency in risk management. Experience in continuous improvement initiatives to enhance the user experience. Working in high-pressured projects to tight timescales. Producing statistics and reports through PowerBI, ServiceNow and MS Products, as required. Maintaining appropriate, accurate and robust templates, processes and documentation. Experience of using ServiceNow ...

high‐performance computing and regulatory topics. Skills and experience that will lead to success Bachelor's or Master's degree in Actuarial Science, Mathematics, Statistics, Economics, Data Science, Computer Science, or a related quantitative field. Proven ability to engage and build credibility with senior stakeholders across IT/technology functions ...