76 to 99 of 99 Permanent Statistical Modelling Jobs in the UK

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize more »

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize more »

My client is committed to sizable increases on any base salary alongside market-leading bonuses. Key Responsibilities will include: · Develop and maintain the risk modelling, pricing, and analytics suite to enable effective decision making by Risk, Portfolio Managers, and the Investment Committee · Assist Risk Managers to identify, evaluate and … other financial institution · Strong programming skills in languages such as Python and experience with Rest API · Strong analytical and quantitative skills, and experience in statistical analysis, data modeling or machine learning desirable · High levels of motivation and continually seeking to improve the performance of self and supportive of others more »

of pricing strategies in a B2B company Superb business acumen Comfort working with varying teams and seniority levels Excellent understanding of how to interpret statistical and financial analysis Knowledge of data process to manage projects with Analytics team. Successful in making and informing data-driven decisions Expert Excel knowledge … business or other applicable discipline Hands-on analytical experience Power BI or comparable BI software (Tableau, Looker, Qlik, etc) SQL, R, Python or equivalent statistical modeling tools (e.g., Regress, SAS, etc more »

are interested in expertise in all HFT, MFT, and LFT). Construct robust portfolio based on multiple signals Identify new trading opportunities by using statistical methods and analyzing large data set Contribute to improving a state-of-the-art quantitative pipeline that allows for fast strategy test iteration and … or MSc) from a top-tier university in a quantitative field, such as Statistics, Operations Research, Computer Science, Mathematics, or Physics Strong experience developing statistical models in a trading environment Deep understanding of optimization theory Excellent programming skills in Python and understanding of Git Desirable traits Curious and open more »

Statistician/Python/Models/Algorithms/Data Modelling/Quantitative/Economist Role: Senior Statistician Company: AI PropTech Salary: up to £80,000 Location: London – Hybrid Responsibilities: • Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. • Examine the structure and … integrity of the data, detecting anomalies or discrepancies. • Your proficiency in statistical analysis, data modelling, and problem-solving will play a critical role in guiding the trajectory of our products and services. • Gauge the significance and scale of the data to support decision-making. • Choose appropriate statistical … to project needs. • Prototype data models to tackle real-world issues and refine them as necessary. • Utilise Python (and SQL) to develop and enhance statistical models. Key requirements: • Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. • Proficient in Python, SQL, and Excel more »

ROI analysis, synthesising recommendations, and presenting to senior executives Pragmatism; understanding of when analysis is good enough to finish Statistically literate, competent with some statistical testing or modelling techniques Here’s a flavour of what our analysts have been up to this week: Worked with design and product more »

that support short term incentives and annual bonus plans as well as associated payments that form part of the annual reward cycle. Provides guidance, statistical analysis, data modelling and cost analysis as and when required. Deliver regular data reports that hold up to date information on the respective more »

anomalies, and opportunities in financial markets. Optimize and enhance existing trading algorithms to improve performance, execution speed, and risk management. Utilize advanced mathematical and statistical techniques to analyze market data, build predictive models, and generate insights. Stay abreast of industry trends, academic research, and emerging technologies in quantitative finance … in languages such as Python, C++, Java, or R, with a strong emphasis on object-oriented programming and algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial more »

in data processing, alpha generation, and strategy implementation, contributing to profit generation across a range of trading strategies. Key Responsibilities: Conduct research using classical statistical methods and modern machine learning techniques to identify and develop new trading strategies. Analyze large datasets to uncover patterns and insights that can drive … or finance-related discipline is a strong bonus. Strong programming skills in languages such as Python, R, or C++. Experience with data analysis and statistical modeling. Familiarity with machine learning frameworks and techniques. Excellent problem-solving abilities and attention to detail. Ability to work both independently and collaboratively in more »

marketing performance of our client’s business more strategically. Efficiently query and analyse data across multiple SQL databases. Initiate impactful analytics projects, generate actionable statistical insights and translate them into business recommendations. Collaborate closely with the clients and wider team of strategists, account managers, and other specialists. Support and … while collaborating closely with the clients and wider team. Query and manipulate data from a variety of sources, and explore the data with rigorous statistical methods (including building models where needed). Conduct regular reporting, automate processes and create reproducible code and documentation. Support the business in implementing solutions … Skills . Query, manipulate and join data from databases with reproducible code (e.g. SQL, Python, R, etc) Conduct rigorous exploratory data analysis with appropriate statistical methods in code (e.g. Python or R) – knowledge of linear models is a bonus. Listen to clients deeply to understand the business problem first more »

business decisions, as well as software and product development activities. What you’ll do: Support data extraction and analysis for clients Build and review statistical models to predict customer behaviour as risk and demand. Develop and implement pricing strategies. Synthesize and communicate strategic recommendations to key internal and client … RFP responses, proposals, presentations, and other technical sales support as needed. You’ll do it using: Experience in the analytical world - data science, BI, statistical, or economic consulting Good working knowledge of modern data science analytical tools: Python, R, etc. Excellent communication, writing, and interpersonal skills Willingness and flexibility more »

charges across gas and power Propose ongoing changes to rates based on a deep understanding of cost methodologies and analysis of underlying assumptions. Use statistical models to extrapolate assumptions into the future based on past and future trends Engage with pricing team to ensure pricing systems are updated timely … and judgment to plan and accomplish goals Proficient in the use of Excel (necessity) as well as working knowledge of SQL, Power BI and statistical tools such as Python (desired more »

capabilities. Job requirements: Experience in pricing optimisation and demand forecasting. Analytical skills to transform complex data into actionable insights aligned with business KPIs. Strong statistical and modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and more »

Development team, you will play a pivotal role in leveraging data to drive innovation and solve real-world problems. Utilising you're expertise in statistical analysis, data modelling and problem solving in order to shape the direction of product and services. THE ROLE The successful Statistician responsibilities will … then use this data to build a model to fix the issue Data crunching unstructured data, analysis, finding out the problems, utilising exploratory and statistical analysis Working on real life production data, solving real life business problems, including financial forecasting too Full ownership and decision making for their projects … they think will work as a solution. Working closely with the C-Suite on a daily basis YOUR SKILLS AND EXPERIENCE SQL & Python for statistical analysis within a product environment BSc or MSc in mathematical/stem based subject THE BENEFITS Up to £70,000 + benefits Hybrid London more »

Economist Role: Senior Statistician Company: AI PropTech Salary: up to £80,000 Location: London - Hybrid Responsibilities: Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. Examine the structure and integrity of the data, detecting anomalies or discrepancies. Your proficiency in statistical analysis … role in guiding the trajectory of our products and services. Gauge the significance and scale of the data to support decision-making. Choose appropriate statistical methods and algorithms tailored to project needs. Prototype data models to tackle real-world issues and refine them as necessary. Utilise Python (and SQL … to develop and enhance statistical models. Key requirements: Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. Proficient in Python, SQL, and Excel for data manipulation, analysis, and modelling at a professional level. Proven track record of collaborating within cross-functional product more »

Balance sheet risks management is to: Ensure LOD1 function for structural risk management of GBIS UK entities Coordinate the ALCOs organization Oversight on liquidity modelling under the Business as Usual and stressed scenarios applying to the various UK GBIS entities Coordinate the ILAAP production and be the SPOC (Single … the models for the different liquidity metrics. · Provide Management and business partners with ad-hoc liquidity analysis and forecasts; Profile required Competencies - Knowledge of statistical and mathematical modelling approaches - Knowledge of balance sheet management ; - Knowledge of Treasury (structure, functions, profit planning and growth) and financial product and hedging more »

to provide comprehensive recommendations in solution design, business process design, business policy setting, and business metric definition. Quantitative and analytical skills (financial analysis, mathematical modelling, and statistics, etc.) Ability to “dive into” the data to determine root-cause. Desired ability to understand statistical forecasting models. Desired ability to more »

a computational perspective, research in the Institute builds and expands upon a variety of methods, from strategies for sequence analysis through to high-dimensional statistical models, machine learning and artificial intelligence. Computational methods developed by groups based at EMBL-EBI are amongst the most widely used by the scientific … approaches to reveal the impact of the environment on human health and physiology, both at the individual and the population level. T heory - using modelling, mathematical reasoning, and conceptual approaches to study complex and dynamic biological systems. You have An aspiration to work on key questions in bioinformatics and more »

to join their growing team on an exciting journey to support the development of advanced therapeutics addressing critical healthcare challenges. You will lead advanced modelling methods, with a focus on generating novel target recommendations, validating them in models, and translating them into therapeutics. Principal Computational Biologist key responsibilities: – Lead … the ‘advanced modelling’ workstreams, and be the point of contact and a role model for advanced modelling within the company. – Maintain strong domain knowledge of leading ‘omic and ‘big data’ computational methods – Drive experimental design & modelling of phenotyping and/or omics data in close collaboration with … together best-in-class Drug Discovery, Drug Development, Product & Project Management capabilities. – Routinely use Python/R for data analyses, in particular data wrangling, modelling and visualisation. – Develop solutions to increase automation, reliability and scalability of our data processing pipelines and workflows. – Lead, co-develop, and run pipelines in more »

optimise processes for the purification of biopharmaceutical products. - Understanding of GMP and QbD considerations in a large scale manufacturing environment. - Understanding and experience with statistical and modelling software and tools. - Understanding of in-process assays such as qPCR, ELISA, HPLC, plate-based spectrometric assays. - Analytical mindset and problem more »

to support the development of advanced RNA medicines for one of the most pressing healthcare challenges of our time. The role will lead advanced modelling methods within a functional genomics and imaging team, with a sharp focus on generating novel target recommendations, validating them in models (including actual human … liver disease. This role will be based at Oxford Science Park. UK remote work is possible, with site visits. Key Responsibilities Lead the ‘advanced modelling’ squad within the In Silico Biology Team, and be the point of contact and a role model for advanced modelling within the company. … Maintain strong domain knowledge of leading ‘omics' and ‘big data’ computational methods Drive experimental design & modelling of deep phenotyping and/or omics data in close collaboration with wet-lab scientists. Work as a member of cross-functional teams bringing together best-in-class Drug Discovery, Drug Development, Product more »

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 skills. Previous experience more »

role is embedded within the business, partnering with researchers to design and build models in scalable code and implement them into a cutting-edge modelling and analytics infrastructure. The framework will feed the models huge volumes of alternative datasets and in doing so, accurately track and capitalize on the … optimization scenarios. Build production systems for implementing, trading, monitoring, and performance reporting of systematic investment strategies. Implementation of strategies into production level code. Apply statistical and predictive modeling techniques to process and analyze large data sets. Research and attribution of portfolio performance and driving factors. Conduct research and statistical more »