1 to 25 of 51 Permanent Statistical Modelling Jobs in London

retail pricing. Developing and embedding technical pricing strategy, using findings from the GI market to enhance technical pricing. Leading R&D in areas of statistical modelling and data innovation to develop more powerful pricing models. Key experience of the Senior Pricing Manager: 5+ years of General Insurance Pricing more »

models and pipelines for the clients devices. Implementing and optimising pre-processing pipelines. Collaborating with software engineers to integrate models into production systems. Conducting statistical analysis/modelling on clinical trial data to assess device performance. Drafting technical documentation for regulatory compliance. Ensuring best practice in regard to … data management, version control and model documentation. You will bring the following: Strong statistical expertise. Image processing/computer vision skills. Proficiency in modelling multivariate problems. Ability to develop algorithms from data analysis. Proficient in Python programming for data manipulation. Desirable - Commercial software development experience. Desirable - Exposure to more »

Have programming experience (essential) with one or more of R, Python, or SQL and proven ability to manipulate and prepare data for analytics and statistical modelling Able to communicate complex technical concepts to specialist/non-specialist audiences and demonstrate impact from data science and analytics work Is … passionate about using customer data & statistical/technical expertise with proven experience to help businesses understand customer behaviour and take action. A positive, can-do attitude and a proactive approach; a great team player What you’ll get for this role: Our purpose - with you today, for a better more »

client is a systematic, multi-strategy hedge fund, seeking to grow its systematic equity business. They require an experienced quant PM skilled in developing statistical arbitrage equity strategies. The ideal candidate will possess expertise in alpha research, data analysis, and Python and/or C++ programming; and will gain … investment portfolio MSc/PhD from a top tier university Strong technical background in mathematics and statistics Good technical knowledge of, and proficiency in, statistical models, signal generation, back-testing, simulation and statistical techniques Data-mining and analysis skills with previous experience in working with large datasets would 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 »

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 »

as Geo-testing and marketing attribution. You are an expert in using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modelling. Educated to degree level in a numerate/analytical subject. Solutions focused approach, with an intellectual curious mindset and ambition to add value more »

understanding of gas and power markets, including physical and financial products, market structures, trading protocols, and regulatory frameworks. Excellent quantitative skills, including proficiency in statistical analysis, quantitative modeling, and risk management techniques. Strong communication and interpersonal skills, with the ability to interact effectively with clients, colleagues, and stakeholders in more »

Global Product team. About the Project/Role The key area of focus for the role is the development and improvement of mathematical and statistical models demonstrating different data sets both at panel level and at census level. These will include Kantar’s internally owned data and data from … frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Job Role Requirements Design and refine machine learning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machine learning models in Python, ensuring they integrate seamlessly into existing … deploying models into production environments efficiently. Conduct thorough data investigations to ensure the quality and completeness of datasets and oversee quality control measures for modelling outcomes. Actively engage in team knowledge-sharing sessions and deliver presentations to discuss findings, insights, and methodologies across the team and broader organisation. Role more »

as Geo-testing and marketing attribution. You are an expert in using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modelling. Educated to degree level in a numerate/analytical subject. Solutions focused approach, with an intellectual curious mindset and ambition to add value more »

support their trading strategies. Design, develop, and maintain robust and efficient software infrastructure, including data processing, analysis, and trading systems. Implement complex mathematical and statistical models into production-ready software. Optimize trading algorithms and strategies for execution speed and efficiency. Conduct thorough testing and debugging of software systems to … Java. Solid understanding of data structures, algorithms, and software design principles. Experience in developing quantitative trading systems or financial models. Proficiency in numerical and statistical libraries such as NumPy, SciPy, or pandas. Familiarity with database technologies and SQL. Knowledge of financial markets, trading instruments, and order execution. Excellent problem more »

to data enabled market insights and contribute to our future growth of the UK business, gaining hands-on experience in data analysis, machine learning, statistical modelling, and data visualization. This apprenticeship offers a unique opportunity to combine academic learning with practical work experience, preparing you for a rewarding … Merit Strong analytical skills with a passion for working with data. Basic knowledge of programming languages such as Python, R, or SQL. Familiarity with statistical concepts and techniques. Excellent communication and interpersonal skills. Ability to work independently and collaboratively in a fast-paced environment. Eagerness to learn and adapt more »

Advanced degree preferred but not required. knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level compiled languages such as C/C++. in SQL. Ability to write more »

clients. Proven track record of driving business results through data-driven decision-making and advanced analytics. Deep technical expertise in data mining, machine learning, statistical modeling, and other relevant areas. Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. If you are more »

Generalized Linear Models (Linear regression, ANOVA, ANCOVA, Logistic regression and other relevant models such as experimental design) and Mixed Effects Models Strong knowledge of statistical modelling techniques Knowledge of quantitative analytics, testing models, technical documentation 2 years experience working at a sell side firm Strong coding skills in … python. Responsibilities: Perform financial, liquidity, cost and performance modelling Conduct in depth quant research around market microstructure Optimise the team's algo execution and trading efficiency Talking to clients and external partners on a regular basis more »

into execution quality. Responsibilities: Design, develop, and maintain TCA analytics and tools to assess and optimize trade execution performance across various asset classes. Implement statistical models and algorithms to analyze transaction costs, market impact, and liquidity dynamics. Collaborate with traders and quantitative researchers to identify areas for improvement in more »

code optimality test and a culture fit round. As part of our team, you'll embark on thrilling responsibilities including:- Utilizing advanced mathematical and statistical techniques to model and forecast Bitcoin market movements. Analyzing extensive financial datasets to identify lucrative trading opportunities. Exploring academic journals and financial literature to more »

for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. … development of both back-end data pipelines and front-end applications Generate analytical reports to track adherence of client processes to business strategy Apply statistical methods to predict future client business outcomes Participate in due diligence of investment proposals as a Technology expert Evaluate 3rd party solutions for functionality more »

Global Product team. About the Project/Role The key area of focus for the role is the development and improvement of mathematical and statistical models demonstrating different data sets both at panel level and at census level. These will include Kantar’s internally owned data and data from … frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Job Role Requirements Design and refine machine learning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machine learning models in Python, ensuring they integrate seamlessly into existing … deploying models into production environments efficiently. Conduct thorough data investigations to ensure the quality and completeness of datasets and oversee quality control measures for modelling outcomes. Actively engage in team knowledge-sharing sessions and deliver presentations to discuss findings, insights, and methodologies across the team and broader organisation. Take 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 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 »

passion for connecting your work directly to the customer experience, making a real and tangible impact Logical thinking and problem solving Strong communication skills Statistical Modelling and experience of applying data science into client problems . What you can expect from us We won’t just meet your more »

innovative models, as well as enhancing existing ones. Implement and enhance existing data pipelines required by our various models/workflows. Develop mathematical/statistical models for Prime desks to enhance business revenue and profitability for stock borrow-loan, cash and synthetic financing books. Devise solutions for systematic book more »

to learn Python For engineering, experience in a DevOps role, ideally in a data science environment Proven interest and technical expertise in data science, statistical modelling and/or machine learning Knowledge around software concepts Experience building and deploying data pipelines, e.g. in the context of ETL and more »

Strong numerical proficiency and a detail-oriented approach to problem-solving. Expertise in Excel & SQL, with a bonus for experience in Python, R, or statistical modeling tools. Why Join Us: Four-day work week with no reduction in salary. Flexible hours and the option to work remotely multiple days more »