1 to 25 of 485 Statistics Jobs in the UK

scoping projects to existing clients Qualifications To be successful in this role you will need: MMM/Econometric modelling experience Advanced degree in Engineering, Statistics, Social Sciences, Economics, or Quantitative Marketing Strong analytical, statistical, and modelling skills Experience in managing projects Excellent communication skills and high attention to detail Proficiency more »

query language, Python. Develop visualizations within and outside the Splunk framework. About You The ideal candidate will have: Bachelors degree in computer science, Mathematics, Statistics or similar engineering discipline. Working knowledge of Linux. Knowledge of network protocols and operation. Data analysis and visualization in Hadoop, Splunk. Data manipulation using tools more »

data collection pre-processing, feature engineering, model selection, training, evaluation, and validation Who You Are: Have a master’s or PhD in Computer Science, Statistics, Physics, Machine Learning or related field. Proven track record of successfully leading Data/Machine Learning teams Experienced in building and deploying a variety of more »

of applying machine learning methods and applying statistical modelling. Experience leading or mentoring junior team members. MSc/PhD in Data Science, Computer Science, Statistics or related fields. If you meet the above criteria and would like to be considered for this position then please click apply now more »

experience required. - offering rapid growth and rewards based on ability, attitude and performance. Ideally, you will have graduated with a Bachelors degree in Mathematics, Statistics, Computer Science or a similar field with strong outcome (2:1 or above) Have acquired some underwriting-related experience - course work, CII certification, work experience more »

guild and become the go-to expert for data management. Requirements: Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field. Professional Experience: Extensive data science, analytics, or engineering experience, particularly in leadership roles and the banking or financial services sector. Technical Proficiency more »

and internal stakeholders, serving as a trusted advisor and thought leader in the field. Qualifications: Advanced degree (Ph.D. or Master's) in Computer Science, Statistics, Mathematics, or related field. Proven experience leading data science and machine learning initiatives, with a track record of delivering impactful solutions. Proficiency in programming languages more »

implementation, and performance monitoring. Broader understanding of crypto and blockchain ecosystem - Advantage Prior web3 experience using Dune or writing smart contracts - Advantage MSc+ in Statistics, Computer Science, Mathematics, or equivalent quantitative field - Advantage This is a fully remote and full-time role. Compensation: $120k/year base + equity + more »

greatly benefit from this assignment, if you have previous experience working with data at a public institution such as a Treasury, Central Bank, national statistics office, or a financial institution with a role focusing on macroeconomic data flows; you are conscientious, maintain a good attention to detail, are hardworking and more »

5+ years of experience in Machine Learning or Quant Finance Strong Python expertise is required, and C++ expertise is a plus. Quantitative background (eg: statistics, linear algebra, or calculus) and/or Pandas and Numpy expertise that allows close collaboration with researchers a strong plus Experience with data driven python more »

to ensure the seamless integration of your quantitative models into our trading systems. The ideal candidate will possess a strong background in quantitative finance, statistics, and programming, with a demonstrated ability to develop and apply complex mathematical models to real-world financial market scenarios. Responsibilities Develop, implement, and maintain sophisticated … suggest improvements and innovations to the team's processes and tools. Requirements Master's or Ph.D. degree in Quantitative Finance, Financial Engineering, Applied Mathematics, Statistics, or a related field. A minimum of five years of experience in quantitative finance or a related role, with a focus on developing and implementing more »

requests and annual renewals/upgrades Monitor the general email inbox and pass emails on to the relevant team/person where necessary Gather statistics to show the number of queries coming into the helpdesk and what the most common issues are. Ideally you'll possess the following qualifications Excellent more »

trading products and strategies. Qualifications: Experience in systematic volatility trading. Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Strong coding skills in languages such as Python, C++, or Java. Please follow Algo Capital for the latest job updates more »

top-tier university  High confidence in their ability to create new strategies both independently and with team collaboration  A strong background in mathematics and statistics, with good knowledge of statistical models and signal generation  Proficiency in back-testing, simulation, and statistical techniques  Data-mining skills paired up with data analysis more »

Elasticsearch and neo4j •AWS: Experience deploying and managing applications on AWS •Containerization and Virtualization: Proficiency in Docker and experience with container management and deployment •Statistics and mathematics: Understanding of statistical concepts and methods such as statistical testing, regression analysis, time series analysis, and probability theory •You want to build something more »

to analyze market data, build quantitative models, and execute trades across various asset classes. The ideal candidate will have a strong background in mathematics, statistics, and programming, along with a passion for financial markets and algorithmic trading. Key Responsibilities: Research and analyze market data to identify patterns, trends, and opportunities … ensuring that all trading activities are conducted in accordance with applicable laws and regulations. Qualifications: Master's or Ph.D. degree in quantitative finance, mathematics, statistics, computer science, or a related field. Minimum of 2-3 years of experience in quantitative analysis, algorithmic trading, or a similar role within the financial more »

and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 years' of experience in a similar role Deep understanding of predictive modeling, machine-learning, clustering and classification more »

sites. You must hold active DV Clearance A degree, Masters or PhD from a leading university in data science, mathematics, operational research, physics, or statistics Experience of conducting analysis for evidence-based decision making, developing models and analyses to support data centric decision making Experience in working in the Defence more »

models to ensure accuracy and robustness. Assist in the preparation of reports and presentations summarising analysis findings. Must Have: Bachelor's degree in Mathematics, Statistics, Finance, Economics, or a related field. Strong analytical skills with a passion for problem-solving. Proficiency in programming languages such as Python, R, or MATLAB. more »

R, Python. Knowledge of Willis Towers Watson pricing tools, Emblem & Radar would be an advantage. Graduate calibre, preferably with specific education in mathematics/statistics or related discipline. Desirable to be progressing in an actuarial or data science discipline, or eligible by virtue of work experience. Ability to communicate complex more »

trading products and strategies. Qualifications: Experience in systematic volatility trading. Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Strong coding skills in languages such as Python, C++, or Java. Please follow Algo Capital for the latest job updates more »

for customers, improving ad relevance, inferring demographics, yield optimisation, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, Reinforcement Learning, Optimisation, Probability Theory, and Machine Learning using code for tool building, statistical analysis, and modelling, using both general-purpose software and statistical languages. … data analysis systems and modeling environments. Examples include technologies like Spark, Hive, NoSQL stores etc. Bachelors, Masters or PhD program in Computer Science/Statistics or a related field Ad-tech background is a plus #LI-PA1 Benefits Roku is committed to offering a diverse range of benefits as part more »

the latest research on algorithmic trading. Start: ASAP Duration: 6 or 12 months Key Requirements: Post graduate degree in a technical field (ie Engineering, Statistics, Physics, Applied Mathematics etc). Proficiency in an analytical programming language such as python, R or MATLAB to be used daily for research and analysis. more »

performance. Investigate and implement new trading products and strategies. Qualifications: Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Strong experience in quantitative trading with a focus on options. Proven track record of designing, implementing, and optimizing algorithmic trading more »

engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning more »