301 to 325 of 650 Statistics Jobs in London

with flexibility to work from home once a week.About you:You have achieved a 2.1 or above in a relevant field e.g. Data, Mathematics, Statistics, Data Analysis or other quantitative disciplineYou have strong experience as a Data Analyst within financial services, supporting front office or market data functionsYou have ...

trading or quantitative development environment.• A degree in a STEM discipline.• A strong quantitative foundation, including comfort with linear algebra and practical experience in statistics, machine learning, or signal processing.• Proficiency in Python, including common data analysis libraries such as Pandas and NumPy.• High attention to detail and accuracy, particularly ...

mittees and other governance bodiesQuant Risk Manager must have: · Experience in a comparable quantitative modelling or analytics role • MSc in Physics, Mathematics, Quantitative Finance, Statistics, or a relevant scientific field or relevant work experience • Strong mathematical knowledge • Must have demonstratable experience in a role of the same or equivalent level ...

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 ...

results to audiences with different backgroundsCreate and maintain post-trade diagnostics tools across various strategiesQualifications:A bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science or related fieldExperience using AI and LLM’sPassion and interest for a quant researcher role solving real-world business problemsMinimum ...

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 ...

quantitative and communication skills. Here are some of the qualities we look for: Excellent academic background in a quantitative field such as mathematics, physics, statistics, engineering, or computer science, with a preference for Masters and PhDs.Strong programming skills in an object oriented or functional paradigm such as C++, Java ...

market data 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 a significant ...

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 ...

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

franchise data to optimize and systematize market making and hedging strategies.Basic Qualifications:Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science.Strong programming skills in an object-oriented or functional paradigm such as C++, Java, or Python.Self-starter with strong self-management skills ...

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 ...

support market data analysis and tradingDeveloping, augmenting, and calibrating exchange simulatorsQualificationsA bachelors, masters or PhD degree from a top-tier university in Mathematics, Statistics, Computer Science, or equivalent STEM degreeExperience in high-frequency trading or quantitative trading is preferred but not a requirementA strong background in mathematics and statisticsProficiency ...

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 ...

supervised ML 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 and process ...

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 ...

solve problems, analyse curve, risk and volatility behaviour, and identify opportunitiesRequired qualifications, capabilities, and skillsAdvanced degree (MSc or PhD) in mathematics, physics, engineering, statistics or a closely related quantitative discipline, with demonstrable strength in advanced mathematicsStrong command of stochastic calculus, probability theory, numerical analysis and PDE/Monte Carlo techniques ...

versioning, reproducibility, observability etcExperience monitoring, maintaining, enhancing existing models over an extended time periodSpecialism in NLP or Computer VisionSolid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)Extensive experience with pytorch, numpy, pandasHands-on experience in implementing distributed/ ...

with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scaleYou are comfortable with core ML concepts, including probability, statistics, and common learning techniques.You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders.You thrive in a fast-paced environment ...

product- Experience leading engineering discussions around technology decisions and strategy related to a product- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent experiencePreferred qualification - Experience working directly with Engineers on product enhancements- Experience in project management methodologies, business analysis, or process improvement- MBA, or Master ...