part of a high-performing and collaborative team. Responsibilities: Conduct in-depth research and analysis to develop and optimize quantitative trading strategies. Utilize advanced statistical and mathematical models to identify market patterns and trends. Collaborate with cross-functional teams to implement and monitor trading strategies. Work closely with technology more »
for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of solutions that leverage advanced analytics, data pipelines, web portals, statistical models, Machine Learning and AI, through our technology platform Draw on the strength and experience of a wider team of Solution Architects across Risk 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 »
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: 5+ years of General Insurance Pricing more »
looking for: Experience in a General Insurance background with deep knowledge of Reserving, Solvency II and IFRS 17 An advanced understanding of mathematical and statisticalmodelling tools Experience managing stakeholders at all levels, and communicating in a governed environment. You'll also collaborate effectively, and be able to more »
strategies as 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 ideas … in 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-solving skills more »
within the Global Product team.About the Project/RoleThe key area of focus for the role is the development and improvement of mathematical and statistical models demonstrating different data sets both at panel level and at census level. These will include Kantar’s internally owned data and data from … reach and frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes.Job Role RequirementsDesign and refine machine learning and statistical models to improve their performance and adaptability.Develop prototypes of statistical and machine learning models in Python, ensuring they integrate seamlessly into existing data … in deploying models into production environments efficiently.Conduct thorough data investigations to ensure the quality and completeness of datasets and oversee quality control measures for modelling outcomes.Actively engage in team knowledge-sharing sessions and deliver presentations to discuss findings, insights, and methodologies across the team and broader organisation.Take charge of more »
Data Scientist in the ad-tech/mar-tech or data analytics companies, including the following experience in:business intelligence, data mining, analytics, and statistical modeling disciplines;analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership;implementing … data;programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies;using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau.Technical Blog PostsRead more about what our Engineers and Data Scientists do: https:/ more »
Direct the design and implementation of sophisticated analytics models to enhance understanding of pricing responses, customer behaviours, and business dynamics.Utilize advanced machine learning and statistical techniques to forecast trends and enhance operational efficiencies.Provide actionable insights and strategic recommendations to senior stakeholders based on rigorous analysis.Collaboration and Influence:Collaborate closely … client engagementExtensive experience in advanced analytics and data science, preferably in a commercial or consulting environment.Proficiency in Python programming and experience developing ML or statistical models related to pricing.Strong familiarity with data visualization software (e.g., Tableau, PowerBI) and data management tools (e.g., SQL, Snowflake).Bonus Points for:Experience implementing more »
the design and implementation of sophisticated analytics models to enhance understanding of pricing responses, customer behaviours, and business dynamics. Utilize advanced machine learning and statistical techniques to forecast trends and enhance operational efficiencies. Provide actionable insights and strategic recommendations to senior stakeholders based on rigorous analysis. Collaboration and Influence … Extensive experience in advanced analytics and data science, preferably in a commercial or consulting environment. Proficiency in Python programming and experience developing ML or statistical models related to pricing. Strong familiarity with data visualization software (e.g., Tableau, PowerBI) and data management tools (e.g., SQL, Snowflake). Bonus Points for more »
My client is committed to sizable increases on any base salary alongside market-leading bonuses. Key Responsibilities will include: · Develop and maintain the risk modelling, pricing, and analytics suite to enable effective decision making by Risk, Portfolio Managers, and the Investment Committee · Assist Risk Managers to identify, evaluate and … other financial institution · Strong programming skills in languages such as Python and experience with Rest API · Strong analytical and quantitative skills, and experience in statistical analysis, data modeling or machine learning desirable · High levels of motivation and continually seeking to improve the performance of self and supportive of others more »
ROI analysis, synthesising recommendations, and presenting to senior executives Pragmatism; understanding of when analysis is good enough to finish Statistically literate, competent with some statistical testing or modelling techniques Here’s a flavour of what our analysts have been up to this week: Worked with design and product more »
business decisions, as well as software and product development activities. What you’ll do: Support data extraction and analysis for clients Build and review statistical models to predict customer behaviour as risk and demand. Develop and implement pricing strategies. Synthesize and communicate strategic recommendations to key internal and client … RFP responses, proposals, presentations, and other technical sales support as needed. You’ll do it using: Experience in the analytical world - data science, BI, statistical, or economic consulting Good working knowledge of modern data science analytical tools: Python, R, etc. Excellent communication, writing, and interpersonal skills Willingness and flexibility more »
models and pipelines for the clients devices. Implementing and optimising pre-processing pipelines. Collaborating with software engineers to integrate models into production systems. Conducting statistical analysis/modelling on clinical trial data to assess device performance. Drafting technical documentation for regulatory compliance. Ensuring best practice in regard to … data management, version control and model documentation. You will bring the following: Strong statistical expertise. Image processing/computer vision skills. Proficiency in modelling multivariate problems. Ability to develop algorithms from data analysis. Proficient in Python programming for data manipulation. Desirable - Commercial software development experience. Desirable - Exposure to more »
in their ability to create new strategies both independently and with team collaboration A strong background in mathematics and statistics, with good knowledge of statistical models and signal generation Proficiency in back-testing, simulation, and statistical techniques Data-mining skills paired up with data analysis skills. Previous experience more »
for data analysis and modeling and willingness to learn standard development tools such as versioning controls and continuous integration and deployment workflows. Proficiency in statistical analysis, econometric modeling, and financial market analysis. Detailed knowledge and curiosity for composition of various economic indicators across the world, in-depth understanding integration … and technology company who has pioneered the use of quantitative fundamental, or "quantamental," macro trading strategies. We firmly believe that the synergy between modern statistical learning and macroeconomic research is vital for achieving efficient, ethical, and sustainable investment management practices. Drawing upon our nearly three decades of expertise spanning more »
Economist Role: Senior Statistician Company: AI PropTech Salary: up to £80,000 Location: London - Hybrid Responsibilities: Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. Examine the structure and integrity of the data, detecting anomalies or discrepancies. Your proficiency in statistical analysis … role in guiding the trajectory of our products and services. Gauge the significance and scale of the data to support decision-making. Choose appropriate statistical methods and algorithms tailored to project needs. Prototype data models to tackle real-world issues and refine them as necessary. Utilise Python (and SQL … to develop and enhance statistical models. Key requirements: Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. Proficient in Python, SQL, and Excel for data manipulation, analysis, and modelling at a professional level. Proven track record of collaborating within cross-functional product 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 »
Advanced degree preferred but not required. knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level compiled languages such as C/C++. in SQL. Ability to write 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 »
for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. … development of both back-end data pipelines and front-end applications Generate analytical reports to track adherence of client processes to business strategy Apply statistical methods to predict future client business outcomes Participate in due diligence of investment proposals as a Technology expert Evaluate 3rd party solutions for functionality more »
Global Product team. About the Project/Role The key area of focus for the role is the development and improvement of mathematical and statistical models demonstrating different data sets both at panel level and at census level. These will include Kantar’s internally owned data and data from … frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Job Role Requirements Design and refine machine learning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machine learning models in Python, ensuring they integrate seamlessly into existing … deploying models into production environments efficiently. Conduct thorough data investigations to ensure the quality and completeness of datasets and oversee quality control measures for modelling outcomes. Actively engage in team knowledge-sharing sessions and deliver presentations to discuss findings, insights, and methodologies across the team and broader organisation. Take more »
anomalies, and opportunities in financial markets. Optimize and enhance existing trading algorithms to improve performance, execution speed, and risk management. Utilize advanced mathematical and statistical techniques to analyze market data, build predictive models, and generate insights. Stay abreast of industry trends, academic research, and emerging technologies in quantitative finance … in languages such as Python, C++, Java, or R, with a strong emphasis on object-oriented programming and algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial more »
marketing performance of our client’s business more strategically. Efficiently query and analyse data across multiple SQL databases. Initiate impactful analytics projects, generate actionable statistical insights and translate them into business recommendations. Collaborate closely with the clients and wider team of strategists, account managers, and other specialists. Support and … while collaborating closely with the clients and wider team. Query and manipulate data from a variety of sources, and explore the data with rigorous statistical methods (including building models where needed). Conduct regular reporting, automate processes and create reproducible code and documentation. Support the business in implementing solutions … Skills . Query, manipulate and join data from databases with reproducible code (e.g. SQL, Python, R, etc) Conduct rigorous exploratory data analysis with appropriate statistical methods in code (e.g. Python or R) – knowledge of linear models is a bonus. Listen to clients deeply to understand the business problem first more »
