51 to 75 of 236 Statistical Modelling Jobs in London

Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn).* Solid understanding of probability and statistical modeling to support robust model development and interpretation.* Experience with cloud platforms (especially Azure and/or AWS) and modern deployment practices for scalable ...

direction and purpose, and work with Product Directors/VPs to advocate for insights-driven decision-making. What you'll need to succeedProficiency in statistical analysis, data modeling, and data visualization. Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis, data modeling ...

initiatives, negotiating buy-in with various VPs, ensuring consistent follow-through and concrete impact within agreed timelines. What you'll need to succeedProficiency in statistical analysis, data modeling, and data visualization. Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis, data modeling ...

including Residual Value and SMR, Insurance Lease Pricing, Economic Capital, as well as producing the customer pricing. This role sits in the Asset Risk Modelling Team, operating in a matrix way of working, responsible delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented … operated, enhanced and developed in conjunction with joint ownership for the outcomes and outputs with business SME's. Reporting into the Asset Risk Modelling Manager, the role has the following key responsibilities: You will proactively support and inform the delivery of the Asset Risk strategy in alignment with ...

data privacy, data security and responsible access to health data. We are looking for a Senior Data Scientist specialising in privacy, security and risk modelling, to help design, build and scale data‐driven controls that protect participants while enabling cutting‐edge research. This is a hands‐on role where … auditable tools. Work closely with governance, legal, ethics and operational colleagues to ensure technical controls fulfil their requirements. Keep up with emerging methods in statistical disclosure control, privacy‐enhancing technologies, AI security, synthetic data, de‐identification and privacy‐preserving computation. This role will be fully hybrid with the expectation ...

within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts … data and AI/ML pipelines to support advanced analytics and automated insight generation. Apply a range of data science techniques including machine learning, statistical modelling, deep learning, NLP, graph analytics and time‐series analysis. Prepare, transform and integrate large, multi‐source datasets (e.g. sensor, geospatial and communications ...

cloud engineering practices. Wherever you land, you’ll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms, leveraging … technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business ...

cloud engineering practices. Wherever you land, you’ll be working with some of the biggest datasets in the UK — using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms, leveraging … technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business ...

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 ...

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 ...

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 and Payments team applies cutting-edge AI/ML techniques to fundamentally ...

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, Payments and CIB Treasury team applies cutting‐edge AI/ ...

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, Payments and CIB Treasury team applies cutting-edge AI/ML techniques ...

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 and Payments team applies cutting-edge AI/ML techniques to fundamentally ...

logical thinking and problem‐solving abilities. Strong communication skills, with the ability to explain complex concepts clearly to non‐technical audiences. Proven experience in statistical modelling and applying data science solutions to real client problems. A passion for connecting technical work to real customer outcomes, delivering clear ...

logical thinking and problem-solving abilities. Strong communication skills, with the ability to explain complex concepts clearly to non-technical audiences. Proven experience in statistical modelling and applying data science solutions to real client problems. A passion for connecting technical work to real customer outcomes, delivering clear ...

experience in data science, applied science, or analytics (6+ years with MS/PhD) in an industry setting You are a proven expert in statistical modeling and experiment design — including A/B testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi‐armed ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

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 ...

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 ...

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 ...

operations analysis, data analysis, or a related role. Strong proficiency in data analysis tools and techniques (e.g., Excel, SQL, Python, R). Experience with statistical modeling and simulation software. Excellent analytical, problem-solving, and critical thinking skills. Effective communication skills, capable of presenting complex data clearly to diverse audiences ...

analytics, or private markets datasets. Experience designing and building software and/or data platforms in financial services environmentsor other regulated environments. Experience productionising statistical or quantitative models. Experience supporting AI/ML lifecycle management, including model versioning, experiment tracking, evaluation,servingand deployment pipelines. Our benefits To help ...

major agricultural futures and options exchanges and is investing in the continued expansion of its systematic trading capabilities through the application of statistical modelling, alternative datasets, automation and advanced analytics. For more information visit https://www.marex.com/Role Summary An analytical, commercially minded and proactive quantitative … professional with experience applying statistical and data-driven techniques within financial markets. Joining a front-office trading team that combines discretionary market expertise with systematic research and alternative datasets, the successful candidate will play a key role in expanding the Agricultural Trading desk's quantitative capabilities through the development ...

Analytics in a client-facing environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies.Keen to demonstrate the potential that Agentic ...