1 to 25 of 26 Permanent Econometrics Jobs in London

to enhance insights and model accuracy. Your Experience and Skills Data Science: Proficiency in Python, R, SQL, including data manipulation, statistical modeling, and visualization. Econometrics: Experience with regression, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and KPIs. Communication Skills More ❯

Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media More ❯

models (as a developer or validator), with a degree in a quantitative analytical discipline (2.1 or higher), e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics, and a high level of competence in SAS or SQL programming - an equivalent level in an alternate programming language would be considered (e.g. R, Python More ❯

CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical Modelling Skills. Strong Business Analyst skills, including process mapping, requirements gathering,and stakeholder management More ❯

SQL Server. Several years of applying analytics and quantitative methods to support investment strategies and develop solutions. Deep understanding of quantitative techniques, statistics, and econometrics; experience with NLP or AI is a plus. Proven experience in developing data analytics tools. Ability to support research and innovation in models and products More ❯

to translate business problems into problems that can be solved with Data Science. Preferred Qualifications: Good familiarity with recent developments in GenAI and LLMs. Econometrics/Financial Engineering background. Time series modelling. Cloud (AWS, GCP, Azure). Experience with model visualization and explainability. About S&P Global Market Intelligence: At More ❯

common challenges facing Marketers. Experience working with senior stakeholders at scaled global clients, preferably in a marketing or marketing science context. Experience working with Econometrics or Media Mix Modelling. Essential Exceptional analytical thinker with a passion for using data to solve business problems (3-4 years of experience in product More ❯

analytics to support the leadership team in developing the overall strategy. What you will be doing: Building, automating and embedding marketing modelling, such as econometrics and Marketing Mix Modelling across multiple markets (and continents) Planning and analysing marketing experiments through marketing methodologies such as geo-testing, to enable us to More ❯

Finance). Excellent programming skills in Python/R and strong familiarity with numeric libraries and methods. Strong expertise in time series analysis (financial econometrics and/or ML). Strong knowledge of options strategies and pricing models and risk metrics. Good communicator and synthesiser of complex material (written and More ❯

research role, with a focus on trading signal development. Experience working with large and diverse datasets to generate trading insights. Background in quantitative finance, econometrics, asset pricing, or macroeconomics. Familiarity with macro markets (Equity indices, Currencies, Commodities, Fixed Income) is highly desirable. Experience utilizing alternative data sources to develop and More ❯

investment teams. Responsibilities: Perform data analysis, design and execute research projects, and build research models using various types of financial data Apply both traditional econometrics tools and machine learning techniques to solve real world problems in trading Acquire domain expertise in market microstructure and execution research for selected asset classes More ❯

WHAT YOU BRING TO THE TEAM Must Have Skills 7+ years' experience in media measurement & effectiveness, with hands-on Marketing Mix Modelling (MMM)/econometrics expertise. Strong consulting and problem-solving skills, with the ability to translate measurement frameworks into business growth strategies. Experience in managing and mentoring other consultants More ❯

with others; Comfortable working fluently in English, both written and spoken; Trustworthy character; BSc, MSc or equivalent, preferably in Law, Computer Science, Criminology, Physics, Econometrics, or comparable; Strong interest in crypto and payments. Most importantly , though, you will embody the core principles that everyone here at the MoonPay lives by. More ❯

measurement-focused roles Strong hands-on experience with Google Analytics, GTM, BigQuery, and coding in Python, SQL or R Deep understanding of attribution modelling, econometrics, and marketing mix analysis Knowledge of privacy-first tracking and evolving methodologies (e.g. server-side, cookie deprecation) Proven team leadership and people development experience Skilled More ❯

measurement-focused roles Strong hands-on experience with Google Analytics, GTM, BigQuery, and coding in Python, SQL or R Deep understanding of attribution modelling, econometrics, and marketing mix analysis Knowledge of privacy-first tracking and evolving methodologies (e.g. server-side, cookie deprecation) Proven team leadership and people development experience Skilled More ❯

tasks, working under the supervision of project leads. The ideal skills for this role are: Must have: An advanced degree in statistics, mathematics, applied econometrics, applied economics, business economics or a related quantitative field Strong understanding of macroeconomic, demographic, international finance and trade concepts and knowledge of key data series … with global macroeconomic, financial and statistical databases like IMF-IFS, World Bank, OECD, Eurostat, UN, UNCTAD, ILO, BIS etc. Proficiency in statistical analysis and econometrics modelling Proficiency in one of the programming language - R or Python Working knowledge of key R libraries like tidyverse and ggplot2 (if proficient in R More ❯

processes are ready. • During market – sporadically monitoring behavior and performance of strategies. Ideal Candidate: • Quantitative background - including Master/PhD’s in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. • Programming proficiency with at least one major programming or scripting language (Python, C++ More ❯

processes are ready. • During market – sporadically monitoring behaviour and performance of strategies. Ideal Candidate: • Quantitative background - including Master/PhD’s in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. • Programming proficiency with at least one major programming or scripting language (Python, C++ More ❯

Experience in Python/C++ is a plus) Excellent academic background, Bachelor/Master level in quantitative fields such as (but not exclusively) Statistics, Econometrics, Operations Research, Computer Science, Financial Engineering, Physics More ❯

transition into the front office trading technology quantitative development team. The ideal candidate will have a strong background in quantitative finance, data analysis, and econometrics/statistics, as well as programming skills in Python and other object-oriented languages. Additionally, they should be familiar with financial datasets and hedge fund More ❯

respond to new opportunities and challenges. CAN YOU SAY YES TO THE FOLLOWING? Master degree in STEM or equivalent (e.g. Computer Science, Applied Mathematics, Econometrics, Data Analytics, Statistics) General Master Data Management (MDM) experience Experienced with Semarchy MDM Platform experience v5.0 Experienced with general data integration experience e.g., common ETL More ❯

Master's degree in Economics, a related field (e.g., Statistics, Data Science, Public Policy, Business, Finance), or equivalent practical experience. 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or More ❯

at a leading data consultancy, part of a wider media agency group. This role requires someone with MMM (market mix modeling) and/or econometrics within a media business, to work across a key client. You'll have experience in data extraction, building the models and reporting that data back More ❯

at a leading data consultancy, part of a wider media agency group. This role requires someone with MMM (market mix modeling) and/or econometrics within a media business, to work across a key client. You'll have experience in data extraction, building the models and reporting that data back More ❯

transition into the front office trading technology quantitative development team. The ideal candidate will have a strong background in quantitative finance, data analysis, and econometrics/statistics, as well as programming skills in Python and other object-oriented languages. Additionally, they should be familiar with financial datasets and hedge fund … Hedge fund or similar buy-side institution o Institutions directly related, e.g. investment bank Requisite Skills Strong background in quantitative finance, data analysis and econometrics/statistics Strong programming skills, particularly in Python and any other object-oriented languages Understanding of financial datasets such as reference and market data Familiarity More ❯