expand its team and is looking to onboard a Junior Quant Analyst in London. The Role The successful candidate will have extensive experience in statisticalmodelling and data analysis. They will also be supporting the power trading desk by researching fundamental data to identify market trends and anomalies. … business Present findings and recommendations to internal stakeholders. Requirements PhD or graduate degree educated in a STEM field. Experience with data analysis and predictive modelling (eg: machine learning, statisticalmodelling, etc.) Programming in R, Python or similar scripting language. Solid understanding of probability and statistics. Excellent communication more »
and marketing mix modeling (MMM) to drive strategic insights and recommendations for optimizing marketing efforts. This role requires a deep understanding of data analysis, statisticalmodelling, and marketing principles to analyze complex datasets and translate findings into actionable marketing strategies. Key Responsibilities: Design and Execute Test & Control Analyses … Marketing Mix Modeling (MMM): Lead the development and refinement of MMM to understand the effectiveness and ROI of marketing spend across different channels. Use modelling results to inform budget allocation and marketing strategy. Data Management and Analysis: Collect, clean, and analyze data from various sources to support modelling … focus on test & control analysis and marketing mix modeling. Prior experience in a consulting or agency setting is a plus. Technical Skills: Proficiency in statistical software (e.g., R, Python, SAS) and database querying languages (e.g., SQL). Strong understanding of statistical modeling, forecasting, and data analysis techniques. Experience more »
to data enabled market insights and contribute to our future growth of the UK business, gaining hands-on experience in data analysis, machine learning, statisticalmodelling, and data visualization. This apprenticeship offers a unique opportunity to combine academic learning with practical work experience, preparing you for a rewarding … Merit Strong analytical skills with a passion for working with data. Basic knowledge of programming languages such as Python, R, or SQL. Familiarity with statistical concepts and techniques. Excellent communication and interpersonal skills. Ability to work independently and collaboratively in a fast-paced environment. Eagerness to learn and adapt more »
passion for connecting your work directly to the customer experience, making a real and tangible impact Logical thinking and problem solving Strong communication skills StatisticalModelling and experience of applying data science into client problems . What you can expect from us We won’t just meet your more »
Data Science, Computer Science, Statistics or a related field Proven experience as a Data Scientist or similar role Strong knowledge of machine learning algorithms, statisticalmodelling, and data mining techniques. Proficiency in programming languages such as Python, R or Scala and familiarity with data science toolkits. Experience with 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 statisticalmodelling 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 with proven experience 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 more »
and pricing. REQUIREMENTS: Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, or Computer Science. Proven experience in machine learning and statistical modeling, with a focus on credit risk and pricing within the financial/lending industry. Strong programming skills in languages such as Python or 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, statisticalmodelling and/or machine learning Knowledge around software concepts Experience building and deploying data pipelines, e.g. in the context of ETL and more »
support provided for those with the enthusiasm and aptitude to learn. This job will involve: • Assist in the development and execution of Marketing Mix Modelling (MMM) projects to evaluate the effectiveness of marketing strategies across various channels. • Conduct data analysis, statisticalmodelling, and interpretation of results to … following skills: • Bachelor's or Master's degree in Economics, Statistics, Mathematics, or a related field. • Strong analytical and quantitative skills, with proficiency in statistical analysis and econometric modelling. • Excellent communication skills, with the ability to effectively convey complex concepts and insights to both technical and non-technical stakeholders. … Excel and PowerPoint; experience with R/Python for data analysis and visualisation is a plus. • Prior experience or coursework in marketing analytics, econometric modelling, or related fields is preferred but not required for recent graduates. • If this sounds like the role for you then please apply today! Alternatively more »
discipline Experience working with large data sets on a daily basis, using the likes of SAS, SQL, R, Python Experience with Radar Experience developing statistical models and/or interpreting data and providing commercial insights on the back on analysis Experience in an Analytics role in Pricing or Insurance more »
various organizational levels. Master’s degree in Data Science, Computer Science, Statistics, or a related field. Proven experience as a Data Scientist, adept at statistical modeling, machine learning, and data mining techniques. Familiarity with machine learning algorithms and frameworks such as scikit-learn and PyTorch. Experience with core NLP more »
as Geo-testing and marketing attribution. You are an expert in using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modelling. Educated to degree level in a numerate/analytical subject. Solutions focused approach, with an intellectual curious mindset and ambition to add value 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 statisticalModelling Quantitative Analysis experience within the sports trading industry is essential Excellent Mathematical skills Analytic mindset If you feel you have the skills more »
clients. Proven track record of driving business results through data-driven decision-making and advanced analytics. Deep technical expertise in data mining, machine learning, statistical modeling, and other relevant areas. Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. If you are 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, statisticalmodelling, and risk assessment techniques. - Solid understanding of regulatory requirements related to market risk management (e.g., Basel III, FRTB). - Advanced proficiency in more »
to identify any patterns and monitor and compliance with internal and external benchmarking. This will include creating data visualisations and management information reports and modelling projected outcomes. The Data Insights Analyst will also be expected to devise systems for monitoring the impact of interventions to improve the student experience … Develop and document data analysis requirements through meetings with departments. Analyse large complex data sets from multiple sources. Perform quantitative and qualitative analysis using statistical methods. Create compelling interactive visualisations and dashboards to present insights that can be clearly communicated to various audiences. Provide regular management information reports for … Expertise collecting, mining, and analysing large, complex data sets Experience with visualisation and reporting tools like Tableau, Power BI and Looker Working knowledge of statistical analysis and modelling techniques Strong written and verbal communication skills Keen attention to detail with analytical mindset Problem-solving mindset with the desire more »
for a Data Scientist to join their Product team – you will be working on the latest AI and ML techniques as well as traditional statisticalmodelling to create best in class products that will give them and their clients a competitive edge. You will be working as part 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 »
see: A minimum of 3 years' commercial experience as a Data Scientist Strong Python proficiency as well as its related libraries Strong foundation in statisticalmodelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies Experience working on cloud-based infrastructure (e.g. AWS, Azure more »
into execution quality. Responsibilities: Design, develop, and maintain TCA analytics and tools to assess and optimize trade execution performance across various asset classes. Implement statistical models and algorithms to analyze transaction costs, market impact, and liquidity dynamics. Collaborate with traders and quantitative researchers to identify areas for improvement in more »
our marketing solutions to the prospect’s functionality requirements and solution objectives Configure activation/destinations for a full end to end demo Apply statistical models and analytical experience in order to uncover valuable customer/marketing insights that will deliver relevant gains What you need to succeed Experience more »
adjusted returns. Quantitative Developer Position: The successful quantitative developer candidate will join our betting solutions team. These solutions entail the development of mathematical/statistical models and high-performance algorithms; efficient coding; automation of betting operations; data generation, acquisition, storage and manipulation; performance analysis through back-testing and simulations. more »
understanding of gas and power markets, including physical and financial products, market structures, trading protocols, and regulatory frameworks. Excellent quantitative skills, including proficiency in statistical analysis, quantitative modeling, and risk management techniques. Strong communication and interpersonal skills, with the ability to interact effectively with clients, colleagues, and stakeholders in more »
integration and maintenance of large complex data sets from multiple sources. Lead on Data Protection across the organisation. Perform quantitative and qualitative analysis using statistical methods. Ensure and maintain the accuracy of data held and its compliance with the requirements and definitions of key external stakeholders. Ensure the provision … collecting, mining and analysing large, complex data sets. Experience with visualisation and reporting tools such as Tableau, Power BI and Looker. Working knowledge of statistical analysis and modelling techniques. Strong written and verbal communication skills. Keen attention to detail with analytical mindset. Problem-solving mindset with the desire more »
retail pricing. Developing and embedding technical pricing strategy, using findings from the GI market to enhance technical pricing. Leading R&D in areas of statisticalmodelling and data innovation to develop more powerful pricing models. Key experience of the Senior Pricing Manager: years of General Insurance Pricing experience more »
