13 of 13 Permanent Statistical Modelling Jobs in the City of London

intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands‐on technical mentorship and guidance to junior and mid‐level data scientists … data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree‐based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative ...

consistent and reliable for decision-making. Data Science, Automation and AI Readiness - Use Python to automate recurring analysis, reporting and data preparation, while supporting statistical modelling, predictive analytics and AI/data science proof-of-concept work. Identify opportunities to improve insight delivery through automation and emerging analytical … ability to work with complex datasets and generate practical insight. Excellent data science and programming skills, with proficiency in Python for data analysis, modelling, automation and statistical applications. Experience in data manipulation, querying and analysis using SQL. Skilled in data visualisation and presentation of analytical findings using Power ...

applications leveraging LLMs, retrieval systems and agentic workflows. Evaluate emerging AI technologies and recommend practical applications across the organisation. Data Science & Analytics Perform advanced statistical analysis and modelling across large-scale operational and engineering datasets. Develop feature engineering, experimentation and model evaluation frameworks. Create insights and recommendations that … making. WHAT YOU'LL BRING Essential Experience Demonstrable experience delivering machine learning or AI solutions within a large-scale enterprise environment. Strong experience applying statistical modelling, predictive analytics and experimentation techniques. Experience working with structured and unstructured data at scale. Proven ability to translate business problems into measurable ...

detail. Analytical mindset with the ability to identify trends, patterns, and insights from data. Knowledge of market analysis, business performance analysis, forecasting, or statistical modelling would be beneficial. Familiarity with R, Power BI, Tableau, or other data visualization and analytical tools would be considered an advantage. Good research ...

largest real-time fraud detection platform to craft solutions for our enterprise customers . About the rol e: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses ...

Distribution, Product, Client, and other related functions is essential. The individual acts as a trusted analytics advisor to EMEA business leaders, translating advanced analytics, statistical modeling, and data science outputs into clear, actionable insights that directly support business decisions within an Asset Management context. Success in the role depends … decisions and business outcomes. Masters degree or equivalent in Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering etc.) Knowledge of advanced statistical concepts and techniques, e.g. skilled in linear algebra. Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models ...

researching, developing and implementing systematic trading strategies across global financial markets. You'll work alongside experienced researchers, software engineers and traders, leveraging large datasets, statistical modelling and machine learning techniques to identify new sources of alpha. This is a highly collaborative environment where ideas are tested rigorously … quickly into production. Responsibilities • Research and develop systematic trading strategies across global markets. • Analyse large financial and alternative datasets to identify predictive signals. • Build statistical and machine learning models. • Design and evaluate alpha generation ideas using robust backtesting frameworks. • Collaborate with software engineers to deploy research into production. • Continuously ...

abilities. Additional desirable Qualifications for Quantitative analyst Knowledge of Q/KDB+ Familiarity with Linux environments and Bash scripting. Additional knowledge of quantitative methods, statistical modelling, or financial markets would be advantageous. If you are interested, then please apply and we can get it contact! Reference: AMC/ ...

value chain. The ideal candidate will have a degree in a quantitative field and substantial experience in data science, particularly in machine learning and statistical modeling. A strong ability to communicate complex findings to diverse audiences is essential, alongside proficiency in Python and SQL. #J-18808-Ljbffr ...

Circle. You will play a key role in developing, implementing and monitoring these models and drive significant value for the business. Model Development: Develop statistical and machine learning models for commercial lending products. Optimization: Deliver value through the optimization of current models and drive innovation by constantly seeking alternative … that chooses to lift each other up and think smart every day. As part of the Decision Science team, you will create cutting edge statistical and machine learning models and collaborate with data engineers, analysts, and business stakeholders. As well as improving on our previous generation models ...

decisions, model markets, and bring trading strategies to life every day. As a markets and trading expert, you’ll use predictive analytics and sophisticated statistical techniques to monitor risk, respond to market signals and develop trading strategies across Options, ETFs, Equities, Fixed Income, Commodities and Currencies. Your Objectives: Develop … upon mathematical models. Design, build, and implement predictive models to generate novel trading signals. Use unconventional data sources to drive innovation. Conduct research and statistical analysis to build and refine monetization systems for trading signals. Your Skills & Talents: Bachelor's, master's or PhD in applied math, engineering, statistical ...

deliver data science solutions in support of national security operations. Develop and optimise pipelines to process large, complex datasets. Apply machine learning and statistical methods to generate actionable insight. Produce clear visualisations to communicate results to stakeholders. Work within agile teams to deliver robust, scalable systems. Support cloud deployments … into live operational environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache Spark. Data acquisition ...

feedback from live trading. The role Research and develop systematic trading strategies within an automated trading framework Analyse large and complex datasets using advanced statistical and machine learning techniques Identify predictive signals and translate research into production trading strategies Build a detailed understanding of market microstructure across different exchanges … publications, academic awards or work on technically demanding problems Strong programming skills in Python or C++ Confidence working with large datasets and developing rigorous statistical models Excellent problem-solving and communication skills Interest in applying research to competitive, real-world problems Previous experience in finance is not required. Candidates ...