1 to 25 of 55 Permanent Statistical Modelling Jobs in London

Engineering, Automation, Robotics or equivalent) - Experience in developing PLC code/machine controls - Experiences with benchmarking technical equipment and metrics - Experience with financial and statistical modelling - 6-Sigma Black Belts would be a plus - Advanced data analysis skills and experienced in using supporting tools e.g. Minitab, JMP, MS more »

Delivery team within PAI. This team is responsible for carrying out both quantitative and qualitative analysis and insight on HMRC people data. Activity includes, modelling, forecasting, optimisation, research, survey design and implementation and focus groups. As a people analytics and insights officer you will have the opportunity to work … while also possessing a collaborative approach and a keen willingness to work with others to achieve progress against shared objectives. Essential Criteria Proficient in statistical software packages such as R Studio and SPSS and strong Excel skills. Excellent time management skills being able to set and clearly communicate own … experience working in an analytical environment. Experience of two or more of the following techniques: Manipulating large datasets. Predictive analytics. Segmentation analysis. Hypothesis Testing. Statistical Data modelling. Optimisation. Simulation. Machine learning. Desirable Criteria: A willingness to take ownership of personal development, setting realistic goals to improve abilities. Stakeholder engagement more »

have arisen during review of submitted client data. Serves as the day-to-day technical contact to address issues or discrepancies with data.Perform advanced statistical analysis, including regression modelling and additional statistical tests using SAS and/or R. Develop customized client reports based on outcomes of … statistical analysis. Additionally, creates new slide templates and SAS code to produce displays for client reports.Generate sales by expanding revenues from existing clients and by leading prospecting efforts with new clients.Lead people through the management and development of staff, including assigning, directing and evaluating work. Hires employees, conduct performance more »

a key role in planning and delivering models and analysis that underpin the prices that go to market. You will need to understand both statistical modelling methods and machine learning techniques. Skills & experience needed: Solid knowledge of relevant statistical modelling methods – in particular GLMs Knowledge of 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 »

can span a range of analytics and more advanced data science projects, helping to win work in this space. Responsibilities: Build and maintain robust statistical algorithms and predictive models to support data analytics projects around customer, digital marketing and product performance. Pull data from various API's to bridge … Strong coding skills with SQL, working with large and complex data sets to extract insights and identify trends A proven background in programming and modelling with Python, to support analytics projects Strong technical skills with Google Analytics (GA) or Adobe Analytics for digital analytics, as well as social media more »

large cap credit books and is a leader in the space. The team are seeking someone with between six and nine years of quantitative modelling and statistical analysis within the Credit space. Perhaps an individual in retail banking or an individual with co-mingled banking and fund experience … critical in decision making both from a due diligence perspective ahead of investment decisions and post acquisition of credit portfolios. Dissecting the portfolios through statistical analysis to assess revenue streams, risk identification, adjusting payment structures within the portfolio blocks and ongoing regular monitoring of that performance to pre determined … or leading financial institution A strong experience working both on analysis but also execution of credit loans deals/lending within your institution Advanced statistical modelling skills that can achieve optimisation, multi dimensional regression along with having data set modelling skills for ongoing valuation and performance Portfolio more »

risk indicators . Advanced degree in Finance, Economics, Mathematics, Computer Science, or another relevant quantitative field. Exceptional analytical and quantitative skills , with expertise in statistical analysis and financial modelling. Outstanding communication and interpersonal abilities, with the skill to explain complex concepts to a varied audience. Team player with proven 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 »

Science function. We don’t need someone to have already worked within the Private Equity space, but a clear interest in Investing and strong statistical background (which has been utilised in a commercial setting for a few years) are necessary. Responsibilities Develop and deploy innovative ML & statistical models … conduct wider research into market impact. Requirements Several years working in a commercial setting as a Data Scientist. MSc/PhD in a highly statistical subject area. Production level Python coding skills. End to End Data Science experience is preferable, ideally including algorithmic deployment on the Azure cloud stack … serverless). Strong communication skills Time Series knowledge is a big advantage Previous Private Equity, Investment, or Financial Modelling experience is a bonus. If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include more »

on a variety of projects. THE ROLE As a Statistician for the business you will: Analyse data to look for patterns and trends, using statistical modelling techniques to build models that the ML Engineering team can put into production Hypothesis testing Evaluate the statistical significance and volume 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 »

BettingJobs.com are currently recruiting US Sports Data Scientist based in London for a leading sports betting forecasting company. Responsibilities: Create statistical and machine learning models for different US Sports predictions Integrate your brand new models into production in our odds engine and maintain it Implement innovative algorithms to allow 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 »

Statistics, Data Science, Computer Science or Physics from Russell Group University Proficient in several of the following: Python, MATLAB, C++, R, C# Mathematical and statistical Modelling Quantitative Analysis experience within the sports trading industry is essential Excellent Mathematical skills Analytic mindset If you feel you have the skills more »

informed choice making to improve the performance of the business Proactively working with business executives and various departmental heads to provide advanced analytic data modelling systems Designing and launching innovative and complex analytical models, utilising a blend of state-of-the-art and traditional machine learning techniques, which is … not be considered) Educated to a degree level in relevant subject (computing, programming, mathematics, statistics, actuarial science, or another technical field) Highly skilled in statistical, modelling and scripting programming languages such as Python and R, or similar, as well as visualisation packages Expert in data management programming such … or similar algorithms Proven and successful track record of leading high-performing data analyst teams through the successful performance of advanced quantitative analyses and statistical modelling that positively impact business performance Practical experience of building and implementing machine learning models to solve business problems Able to disseminate business more »

or a related field Strong proficiency in Python and data science stack e.g. Pandas/Numpy/Scikit-learn Experience with data analysis and statistical modeling is a plus Excellent problem-solving skills and ability to work effectively under pressure Experience with C++ is a plus Ability to adapt more »

Energy start up as a member of the core planning team, supporting the growth of the business on a global scale. Responsibilities - Consultant Financial Modelling : Develop and maintain financial models to evaluate the viability and profitability of proposed projects. This includes revenue projections, cost structures and investment returns to … Consultant 2-4 Years of Analyst Experience : Demonstrated experience as an analyst in an investment banking environment, with a strong understanding of financial analysis, modelling, and decision-making processes. Experience in analysing investment opportunities, evaluating financial performance, and conducting market research will be highly beneficial. Relevant Qualifications: Possession of … in building advanced predictive models is desirable, as it enables you to forecast future trends, assess risk, and optimise decision-making processes. Experience with statistical modelling techniques and predictive analytics tools will be advantageous. Permanent Opportunity. If you are interested in this position, please reach out through the more »

needed to adapt to changing market conditions. Stay abreast of industry developments and emerging trends in algorithmic trading, quantitative finance, and machine learning. Perform statistical analysis and quantitative research to enhance trading strategies and improve risk-adjusted returns. Work closely with other members of the quant team to share … programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data. Knowledge of trading platforms, order execution systems, and electronic trading protocols. Excellent analytical and problem 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 »

cognizant. Proficient with Data concepts and handling variety of datasets, good with hypothesis formulation, data preparation and model building. Should possess enough proficiency with Statistical & ML model building using R and/or Python languages (generalized linear models, logistics/linear Regression, Tree based and Boosting models, Decision trees more »

discipline Experience working with large data sets on a daily basis, using the likes of SAS, SQL, R, Python Experience with Radar Experience developing statistical models and/or interpreting data and providing commercial insights on the back on analysis Experience in an Analytics role in Pricing or Insurance more »

tools for investment teams. Required Skills: Advanced knowledge and experience with Python (Pandas, NumPy + more) and SQL Strong background in advanced analytics and statistical modelling Strong analytical and quantitative skills Experience working with large, unstructured data sets Prior experience in the investment management industry, with good knowledge more »

the latest development within ML and design and deliver these across ML and Neural Network Methodologies. You will be involved in data analysis and statistical modelling. You will be writing high quality code and deploying these models both on premise and into the cloud. Skills : Experience either within the 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 »