26 to 50 of 91 Statistical Modelling Jobs in London

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. What you’ll do Develop data-driven … 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 ...

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 ...

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 ...

exciting opportunity for a Junior Data Science Manager to work at the intersection of data science and marketing effectiveness. You will use advanced modelling techniques to influence real business decisions, while continuing to develop both your technical expertise and your ability to communicate complex insights clearly. The Company They … analysis and innovation. They are committed to developing talent and fostering a collaborative, learning-focused environment. The Role Support the delivery of marketing mix modelling projects, owning key components such as data preparation, model execution, and scenario analysis Apply statistical and analytical techniques to solve business problems across ...

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 ...

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 ...

Opportunity to build and lead a future Data function Key Experience Strong experience designing and operating production-grade data platforms. Advanced SQL and data modelling skills. Hands-on AWS experience within modern data environments. Experience building scalable ETL/ELT pipelines and cloud-native data solutions. Exposure to modern … stakeholder engagement skills and the ability to influence technical direction. Experience working with large, complex datasets within enterprise environments. Any experience with Machine Learning, Statistical Modelling, AI Systems, Agentic AI or MLOps would be highly beneficial. Why Apply? This is a rare opportunity to join a growing technology ...

working with a leading global financial services group to hire a Head of Liquidity Stress Modelling at Executive Director level, based in London. We are working with a leading global financial services group to hire a Head of Liquidity Stress Modelling at Executive Director level, based in London. … speak with candidates who can demonstrate: Deep experience in liquidity risk management at major financial institutions, including hands-on work with stress testing, modelling and regulatory frameworks such as LCR, NSFR and ILAAP. Strong familiarity with Global Markets products and their liquidity characteristics, as well as Funds Transfer Pricing ...

accelerate analytics workflows (agentic analysis, AI‐assisted insight generation, natural‐language data interfaces). Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment. Expertise in Python or R, fluency in SQL, and experience with large‐scale data tech (Databricks, Airflow, dBT a plus). ...

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 ...

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 ...

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 ...

join a growing data science function at a pivotal stage of its development. You will play a key role in delivering Marketing Mix Modelling (MMM) projects for well-known clients, combining hands-on technical work with exposure to strategic decision-making. With strong backing from leadership and active hiring … phase offers the opportunity to contribute to both client delivery and the evolution of the function. The Role Deliver end-to-end Marketing Mix Modelling projects using frameworks such as Meridian, Robyn, or PyMC Own key stages of the modelling process, including data preparation, model development, validation ...

machine learning models in a production environment. Fraud, risk, or financial services experience is a strong plus. Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering. Comfort working in fast-paced, cross-functional teams with high ownership expectations. Skills & Competencies: Proficiency in Python ...

machine learning models in a production environment, fraud, risk, or financial services experience is a strong plus Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering Proficiency in Python and SQL; comfort working across the full model development lifecycle An investigative instinct, you enjoy ...

week. Ideal Qualifications (but not required) You have experience in building AI applications within financial services. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). What ...

ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes ...

portfolio optimization, and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis ...

have paid for, shipped on time and to a high standard. The metric engine work is what makes delivery scalable and trusted; developing the statistical methodology that turns raw computer vision outputs into defensible, quantified waste metrics. Both matter from day one. Longer term will support other customer & marketing … will be held to. How you achieve them is yours to figure out. 1. The metric engine advances The next iteration of Greyparrot's statistical modelling framework is implemented; strengthening how we reconcile process flows, extrapolate across coverage gaps, and quantify confidence in outputs. At 12 months ...

deliver data-driven solutions Identify trends, patterns and opportunities through advanced analysis Present findings and recommendations to stakeholders Support the continuous improvement of modelling approaches and analytical processes Skills & Experience Active SC Clearance (mandatory) Strong experience in Data Science and Analytical Modelling Experience working with complex, large-scale … datasets Strong Python and data analysis capabilities Experience with machine learning and statistical modelling techniques Ability to communicate technical findings to both technical and non-technical audiences Experience working within cross-functional teams, including engineering and reporting/MI functions Contract Details Contract Length: 6 months Day Rate ...

Advanced Analytics (DSAA) team.This is a new role for a state-of-the-art individual contributor who thrives at the interface of **computational science, statistical rigour, and drug development**. You will execute and drive exploratory and confirmatory analyses across a rich variety of data types — from clinical trial … apply novel computational methods for patient segmentation, biomarker discovery, and hypothesis generation from multimodal clinical and omics datasets, in partnership with Translational, Clinical, and Statistical Scientists* Execute data science analyses on datasets from BMS clinical trials and real-world data cohorts, spanning genomics, proteomics, imaging, flow cytometry, and other ...

Experience conducting root cause investigations and applying problem management methodologies to understand why issues occur and to prevent recurrence* Proficient in Trend Analysis and statistical modelling to predict system failures* Proven extensive experience leading Event, Incident, Problem and Change management teams/departments with demonstrable proactive functional enhancement ...

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/ ...