49 Statistical Modelling Jobs in London

passion for connecting your work directly to the customer experience, making a real and tangible impact Logical thinking and problem solving Strong communication skills Statistical Modelling and experience of applying data science into client problems . What you can expect from us We won’t just meet your more »

innovative models, as well as enhancing existing ones. Implement and enhance existing data pipelines required by our various models/workflows. Develop mathematical/statistical models for Prime desks to enhance business revenue and profitability for stock borrow-loan, cash and synthetic financing books. Devise solutions for systematic book more »

to learn Python For engineering, experience in a DevOps role, ideally in a data science environment Proven interest and technical expertise in data science, statistical modelling and/or machine learning Knowledge around software concepts Experience building and deploying data pipelines, e.g. in the context of ETL and more »

Strong numerical proficiency and a detail-oriented approach to problem-solving. Expertise in Excel & SQL, with a bonus for experience in Python, R, or statistical modeling tools. Why Join Us: Four-day work week with no reduction in salary. Flexible hours and the option to work remotely multiple days more »

. That said, candidates with experience working within interest rate trading are particularly welcomed. You must be able to demonstrate an ability to understand statistical analysis and modelling. This is an excellent opportunity to join a highly successful and very collegiate fund with a progressive and positive working culture more »

needed to adapt to changing market conditions. Stay abreast of industry developments and emerging trends in algorithmic trading, quantitative finance, and machine learning. Perform statistical analysis and quantitative research to enhance trading strategies and improve risk-adjusted returns. Work closely with other members of the quant team to share … programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data. Knowledge of trading platforms, order execution systems, and electronic trading protocols. Excellent analytical and problem more »

dataset. These insights are instrumental in enhancing investors' decision-making processes and ultimately driving superior outcomes for their clients. Key Responsibilities: Conduct in-depth statistical research (primarily in R) on data generated by stock pickers throughout their decision-making cycles. Articulate data-backed insights to investment decision-makers in … a clear and concise manner. Collaborate with the development team to prototype decision analysis tools that offer actionable feedback to investment teams. Utilize advanced statistical techniques and modelling to identify and interpret patterns in actions and outcomes. Work closely with behavioural science experts to provide quantitative evidence in … superior returns for clients. Experience: Degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field. Strong quantitative skills with proficiency in statistical analysis and coding (Python, R). Experience in applying quantitative methods to financial data analysis. Exhibited excellence in academic and/or extra-curricular more »

Have programming experience (essential) with one or more of R, Python, or SQL and proven ability to manipulate and prepare data for analytics and statistical modelling. Able to communicate complex technical concepts to specialist/non-specialist audiences and demonstrate impact from data science and analytics work. Is passionate … about using customer data & statistical/technical expertise to help businesses understand customer behaviour and take action. A positive, can-do attitude and a proactive approach; a great team player. What you’ll get for this role: Our purpose - with you today, for a better tomorrow – is a promise more »

impact of the models for the different liquidity metrics. Provide Management and business partners with ad-hoc liquidity analysis and forecasts Competencies Knowledge of statistical and mathematical modelling approaches of balance sheet management ; Knowledge of Treasury (structure, functions, profit planning and growth) and financial product and hedging; Knowledge more »

As part of the role, the manager will support the team in quantifying Aviva Investors’ operational risk capital requirements through the use of a statistical model. They will also help coordinate the wider ICARA and emerging risk framework activities through: Supporting the team in co-ordinating the development, monitoring … for: Knowledge of emerging risk and capital management frameworks and practices across the asset management and other financial sectors. Understanding of ICARA and related modelling techniques such as operational risk modelling Knowledge of the workings of the FCA and other global regulators, in particular an understanding of their more »

identify, measure, and mitigate market risk exposures associated with the Solutions business. 3. Exotic Derivatives Expertise: Possess a deep understanding of exotic derivatives products, modelling, pricing and their market risk profiles. 4. Risk Assessment: Conduct regular assessments of market risk exposures, stress testing scenarios, and sensitivity analyses to assess … Proven leadership experience, with the ability to effectively manage and develop a team of risk professionals. - Excellent analytical skills, with proficiency in quantitative analysis, statistical modelling, and risk assessment techniques. - Solid understanding of regulatory requirements related to market risk management (e.g., Basel III, FRTB). - Advanced proficiency in more »

in managing private equity indices that are used by institutional investors globally. They must also possess the ability to interpret complex market trends through statistical models. Product Management: As an asset product specialist, you'll work closely with the company's senior management across multiple business units including marketing more »

Statistics Consultancy 4 days office, 1 day WfH Up to £70,000 + bonus Our client is a leader in the field of developing statistical models and analytical frameworks for sports, predominantly football. Their models are utilised by media, sports clubs, bookmakers, traders and syndicates, to make data driven … ability to predict match outcomes. This role involves working with other data scientists, software engineers and sports experts to research ways in which the modelling approaches can be improved, and then turning those insights into practical modelling solutions that can deploy to production. About you Strong Python experience … to identify and fix data quality issues & perform initial exploratory data analysis Interest in sports and betting/prediction/probability problems Experience with statistical analysis and predictive modelling - you don’t need to be an expert in any one area, but you need to know what techniques more »

data-driven insights that inform business strategy and decision making. The Insight Analyst will work cross-functionally to understand key business challenges and leverage statistical modeling, data analysis, and visualization best practices to provide solutions. Responsibilities:  Partner with stakeholders across the business to identify and frame key questions that … lend themselves to data-driven insights  Build, validate, and analyze statistical models using large, complex datasets to test hypotheses and reveal business insights  Design experiments leveraging A/B testing frameworks to quantify current initiatives and guide strategy  Analyze multivariate datasets using statistical programming languages like SQL, Python … decision makers  Continually seek out ways to improve analytical methods and recommend enhancements supported by data Requirements:  3+ years professional experience conducting quantitative and statistical analysis  Expert skills in SQL, Python, statistical analysis packages  Knowledge of data mining, modeling, and visualization methodologies  Strong math and statistical acumen more »

external sources Organize, cleanse, and validate raw data to prepare for analysis Perform exploratory analysis to uncover patterns, anomalies, and relationships in data using statistical modeling and data visualization tools Develop insightful reports, presentations, and dashboards to concisely summarize analysis and effectively communicate findings Make recommendations for business process … from various business areas Requirements: 3+ years professional experience as a Data Analyst, Business Analyst or related quantitative role Strong grasp of data structuring, statistical modeling and analytics tools SQL (MUST) and Python programming skills (Optional); experience building data pipelines Knowledge of visualization and business intelligence tools like Qlik more »

to build a SaaS product. You will be working closely with the CEO, CTO and the wider engineering teams to help develop and improve statistical models. Responsibiliti esImplement, monitor and deploy statistical/ML mode lsShape the future tech-stack to enhance ML/AI capabiliti esImprove Data more »

quality and integrity Build, calibrate, and validate marketing mix models to assess the impact of different marketing channels on business outcomes Conduct in-depth statistical analyses to uncover patterns, trends, and opportunities for optimisation Communicate findings and recommendations to both technical and non-technical stakeholders through clear and compelling … reports Skills & Experience Experience in econometrics or marketing attribution Strong statistical knowledge Skilled in model development, particularly marketing mix models. Proficiency in statistical software such as R, Python, Eviews or similar Strong communication skills The Benefits £400-£450 per day, outside IR35 and an initial 3 month contract … please send your CV to Luke via the Apply Link on this page. Desired Skills and Experience - Experience in econometrics or marketing attribution - Strong statistical knowledge - Skilled in model development, particularly marketing mix models. - Proficiency in statistical software such as R, Python, Eviews or similar - Strong communication skills more »

an excellent reputation both in the UK and abroad. THE ROLE You'll lead and support projects that continually improve predictiveness and segmentation of statistical models of claims. You'll work across various products and channels using both, traditional and data science/contemporary techniques. What you'll be … Experience in a related Insurance Pricing role is essential. Excellent numerical mathematical skills. Understanding of machine learning techniques. Robust knowledge and understanding of predictive modelling for Risk and/or Demand models. Ability to demonstrate high levels of problem-solving skills & initiative whilst working to strict deadlines. Effective communication … to help establish a network within the business. Knowledge of tools such as Python, R, or other analytical language/tools. Awareness of appropriate statistical techniques for insurance analysis. As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom. more »

data analytics and economic experience to design and execute pricing strategies Work closely with technical teams to build and fine-tune pricing algorithms Use statistical modelling and machine learning to create predictive pricing models Conduct thorough cost-benefit analyses, shaping pricing decisions to maximise overall value for the … both strategic and financially sound What we're looking for: Proven track record in value based and dynamic pricing strategies, data analytics, and economic modelling Deep understanding of economic theory and its practical application in pricing decisions Experience in creating and implementing price recommendation algorithms Good interpersonal and time more »

Statistics, Data Science, Computer Science or Physics from Russell Group University Proficient in several of the following: Python, MATLAB, C++, R, C# Mathematical and statistical Modelling Quantitative Analysis experience within the sports trading industry is essential Excellent Mathematical skills Analytic mindset If you feel you have the skills more »

with equivalent professional experience in a field with relevance to health data science/Epidemiology Experience in natural language processing and AI Expertise building statistical models, use of machine learning using Python libraries, and MLOps tools Experience mining and analysing electronic health records (EHR) and knowledge of clinical terminologies more »

Responsibilities include: Interacting with and influencing business and finance customers to gather, calculate and present data. Supporting with input forecasting using trend analysis and statistical modeling to drive decision making. Be responsible for the Production Planning as well as cost and service optimization Building short/medium and long … as recommendations to senior leaders Experience in quantitative research or analyses Experience in program/project management Experience working with SPSS, SAS or other statistical software packages Experience utilizing SQL Advanced Excel and Access skills Preferred qualifications Analysis experience in Advanced Planning & Optimization Systems, or Enterprise Resource Planning Systems more »

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize more »

issues, and will lead and participate in the successful planning, implementation and delivery of large complex projects. With an advanced understanding of mathematical and statistical modelling tools, the successful candidate will additionally possess experience managing stakeholders at all levels. Advanced knowledge of Excel and Psicle is preferred. A more »