25 of 25 Mathematical Modelling Jobs in London

well as very competitive salaries, our client offers an excellent working environment. Skills required: Proficient in several of the following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience ...

about to receive) a PhD in Applied Mathematics, Engineering, Physics, or other related field, and a strong foundation and proven record in general mathematical modelling, mathematical techniques (analytical – numerical), scientific computing and numerical methods.Experience or good knowledge with some or all of the following areas is highly ...

intersection of research, technology, and trading.About you.You will be a commercially minded quant who enjoys working close to the trading desk. You combine strong mathematical modelling skills with practical implementation ability and a clear understanding of how models are used in production trading environments.You should be comfortable balancing … presenting methodology, assumptions, and results to traders, senior quants, and model risk stakeholdersStaying current with academic literature, market practice, and regulatory expectations in inflation modelling, calibration, and pricingWhat you’ll bring: Our people are our greatest strength. Every individual contributes unique perspectives that make us stronger as a team ...

solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced ...

solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced ...

seeking an experienced Data Science consultant to join our team. The ideal candidate will have a strong background in data science, mathematical modelling and ML, with a focus on using advanced analytics techniques to support data centric decision making in both public and private sector organisations.Work to agile … solutions, and with strong ability to communicate approaches, and findings to technical and non-technical audienceExperience of working across the full analytics and modelling lifecycle - problem formulation, exploratory data analysis, model design, build, testing and handoverExperience working with common tools like python, SQL, Excel and data visualisation solutions ...

develop their career within a fast-paced sports trading environment. Key Responsibilities Analyse and interpret large and complex sports datasets. Develop and improve mathematical and statistical models. Apply probability and statistical techniques to sports data. Identify patterns, trends and opportunities within large datasets. Work closely with analysts, developers … both technical and non-technical stakeholders. Contribute to the development of tools and processes used within the trading environment. Skills & Experience Essential Strong mathematical and statistical ability. Experience working with large datasets and performing quantitative analysis. Strong understanding of probability and statistics. Experience with mathematical modelling ...

develop their career within a fast-paced sports trading environment. Key Responsibilities Analyse and interpret large and complex sports datasets. Develop and improve mathematical and statistical models. Apply probability and statistical techniques to sports data. Identify patterns, trends and opportunities within large datasets. Work closely with analysts, developers … both technical and non-technical stakeholders. Contribute to the development of tools and processes used within the trading environment. Skills & Experience Essential Strong mathematical and statistical ability. Experience working with large datasets and performing quantitative analysis. Strong understanding of probability and statistics. Experience with mathematical modelling ...

accuracy and data integrity from source systems through transformation to final outputs• Configure and maintain business rules for tax reporting across multiple jurisdictions, ensuring mathematical models align with tax engine logic and invoicing requirements• Manage the complete lifecycle of data flows, identifying and resolving data gaps while driving reporting ...

data science or related areas, including theoretical aspects of data science like machine learning (deep learning, statistical analysis, A/B testing, and mathematical modeling)Experience in building machine learning algorithms and infrastructure, such as: data pre- and post-processing, sampling and curation, ablation studies, evaluationExperience writing software using ...

related technical field. Strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks. Excellent understanding of machine learning algorithms, mathematical modelling and problem-solving techniques. Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams. Passion for advancing ...

related technical field.Strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks.Excellent understanding of machine learning algorithms, mathematical modelling and problem-solving techniques.Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams.Passion for advancing AI research and solving complex ...

NumPy, scikit‐learn, with applied machine‐learning experience.Solid understanding of parallel computing frameworks such as Slurm or equivalent technologies.Strong background in quantitative analysis, including mathematical modelling, statistics, regression, and probability theory.Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related STEM discipline from ...

final outputs identifying root causes of discrepancies and driving resolution• Configure and maintain business rules for tax reporting across multiple jurisdictions, validating that mathematical models align with tax compliance requirements• Manage data flows across the tax reporting lifecycle identifying gaps, documenting requirements, and validating system output attributes against expected ...

value-at-risk, stress tests) and capital models covering Equities businesses. This involves identifying market risk factors for various equity products (derivatives) and building mathematical models to capture their economic and statistical characteristics. Implementing, testing and productionizing models and analytics. This involves prototyping models, implementing them and designing tests ...

market making, automatic quoting, central risk books, systematic trading, and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models, including advanced machine learning and AI, to improve business performance while working closely with traders and salespeople on the trading floor to bring ...

product, fraud operations, and technology.Demonstrated strategic thinking and ability to translate strategy into hands-on deliverables.Preferred qualifications, skills, and experience:Experience creating and maintaining mathematical models.Communication skills for interaction with senior executives, staff, and cross-functional teams.Judgment within defined procedures and practices.Knowledge of risk principles and procedures.Ability to synthesize ...

life balance. The Odds Tribe delivers industry-leading trading services used by more than 200 organisations worldwide. Our experts manage betting probabilities through advanced mathematical models. Clients can operate and customise their own sportsbooks through web-based interfaces, from event and odds creation to market monitoring and result confirmation. ...

Analysis: Leverage your analytical mindset to tackle complex business problems and prototype effective solutions. Algorithm Design: Apply, modify, and design advanced algorithms and mathematical models to extract meaningful insights from large data sets. Communication: Validate, document, and present modelling processes and performances, ensuring clarity for both technical … Python preferred). Problem-Solving Skills: A scientific mindset with the ability to ask and answer the right questions. Specialised Knowledge: Experience in predictive modelling, operational research, deep learning, and time series modelling. Leadership Experience: Proven commercial experience working with business stakeholders, alongside a record of mentoring and developing ...

Fixed Income Quantitative Trading & Research (QTR) team's mission is to develop and maintain the sophisticated mathematical models, cutting-edge methodologies and infrastructure used to value and hedge fixed income transactions — from vanilla flow products to complex exotic derivatives — as well as to improve the performance of algorithmic trading … impact, we are looking for you.Job summaryAs 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 ...

client is a well known global Quantitative risk management and market data businessMy clients has created a new way to build and share complex mathematical models with a point and a click. Their products are used by hundreds of finance professionals with over 800 schemes and 100bn of assets … under analysis.They use a client-project driven approach to agile software development, shipping early and often, with an exciting blend of industry, mathematical, and software development expertise. As a rule, if it’s not simple, we bounce ideas around until it is.As a young company, remote working is engrained ...

delivering operations research and optimisation solutions within complex operational environments.> Enjoy solving large-scale routing, scheduling, capacity planning and resource allocation challenges using advanced mathematical modelling.> Are passionate about translating complex business challenges into innovative, data-driven solutions that create measurable business value.> Have expertise in optimisation, simulation, stochastic … modelling and algorithm development.> Can be in our fantastic Luton head office 3 x per week.THE TEAMAs part of our Data Science and Advanced Analytics capability, the Operations Research team partners with colleagues across Operations, Planning, Crew and Engineering to tackle some of the most complex challenges in aviation. ...

AufgabenDesign of models, methods and processes in both the private and public sectorsUse of data science methodsBusiness analyses and simulationsDesign, implementation and validation of mathematical modelsUse of modern technologies such as machine learning or big data solutionsAgile full-stack programming of sophisticated solutionsTechnical analysis and implementation of regulatory requirementsAnalysis … corresponding quantitative, analytical or technological specialisationEnglish language proficiencyPossess significant IT knowledge coupled with strong programming skillsFamiliar with at least one of the following subjects: mathematical statistics, numerical analysis, simulation techniques (e.g. Monte Carlo), optimisation methods (e.g. simulated annealing), and financial mathematical modellingAbility to work well in a teamAbility ...

models across all asset classes for pricing and risk.Day to Day the Quantitative Analyst will:Review and analyse models using deep understanding of the mathematical models used, implementation methods, products traded in these markets, and the associated risks that are inherent from trading these products.Development of independent validation models … Years experience in a Model Validation or Front Office Quant role or other relevant quantitative finance role.Interest Rate experience (may not be derivs)Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms.Experience in coding in C++ ...

test your ideas with real-world data in an academic environment. Using your financial knowledge and analytical skills, you will help to build mathematical models of price movements based on a broad array of data inputs.Who are we looking for We are seeking individuals with a passion … backed up by a strong background in fundamental equity research.For example, this might be someone already working in the discretionary space, who enjoys the mathematical and data side of things, and is interested in making the step across into the quantitative world.In particular, we want to hear from highly ...