9 of 9 Statistical Modelling Jobs in the City of Westminster

Microsoft Excel. An inquisitive mind and an ability to quickly understand complex information and apply analytical thinking and problem-solving skills. Experience applying statistical methods, developing mathematical models, and using large language models (LLMs) and other AI-assisted tools to support data analysis, insight generation, and decision-making. Strong ...

partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services ...

sluggish insurance models and lead our MGA pricing strategy from our tech-first London hub. We are completely bypassing legacy processes to apply sophisticated statistical techniques and machine learning to high-frequency data, keeping us steps ahead in the fast-paced small business market. What makes this role different … colleagues. Were looking for someone who is: Highly numerate with a degree in a discipline like Mathematics, Statistics, Engineering, or Physics. Experienced in a statistical or analytical role within the general insurance industry, with an understanding of portfolio risk. Proficient in data manipulation and statistical modelling using ...

looking for you. Job summary As a Quantitative Researcher/Developer, Associate, in the Fixed Income QTR team, you will provide advanced modelling solutions to the Fixed Income business. Your work will combine deep mathematical rigour stochastic calculus, PDEs, numerical methods and the theory of the term structure with … solid software engineering to deliver best-in-class pricing, risk and hedging models to the trading desk. QTR is an expert quantitative modelling group at J.P. Morgan and a leader in financial engineering, data analytics, statistical modelling and portfolio management. As a global team, QTR partners with ...

date with emerging trends and tooling and sharing updates within and outside of the team. You’ll also be responsible for: Proactively bringing together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques, and algorithms Implementing ethically sound models end-to-end and applying software … hold an undergraduate or a master’s degree in a quantitative discipline, or evidence of equivalent practical experience. You’ll also need experience with statistical software, database languages, big data technologies, cloud environments and machine learning on large data sets, along with experience of developing and managing the full ...

hedge fund. PhD or MS in a quant discipline preferred. Strong proficiency in Python; experience with databases (SQL, KDB etc.). Strong forecasting/statistical modelling skills. Comfortable combining disparate and diverse data sources. Balancing multiple projects in a fast-paced environment; works independently and on a team. ...

meeting regulatory demands, and reducing the risk of fraud and unethical sourcing - creating real change in our world. About the Role As the Lead Statistical Data Scientist, you'll provide technical leadership for the models, methods and analytical approaches that power Oritain's origin-verification science. You'll help … develop other data scientists, help shape how we approach technical challenges, and work across science, engineering, product and commercial teams to ensure our statistical solutions create real-world impact. You'll be joining a business in an exciting stage of growth. We're beyond the start-up phase ...

technical expertise. This role is based at our Canary Wharf office in London. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain … technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work ...

Communicate time critical information to the traders Ensure compliance with regulatory requirements, including REMIT, through the consistent application of defined processes Main Development/Modelling Responsibilities The short-term power market analyst is responsible of the whole life cycle of an application or a model: from the research/… analyst is autonomous on his/her projects and is responsible of critical applications. Example of models/applications/solutions Fundamental and quantitative (statistical, data science driven) models to better anticipate market behaviour and improve price forecasting models. All components of the market could be addressed like load ...