1 to 25 of 47 Permanent Statistical Modelling Jobs in London

Development/Research experience is ideal Proficient programming skills (Ideally Python or Rust) Strong mathematical background Experience with data science, creating features and improving statistical models. BS or Masters in Computer Science, Engineering, or related quantitative discipline To discuss the role in confidence, please reach out to Rhys at more »

self-serve data access Perform ad-hoc analysis and insight per operational meetings be that shallow or deep dive Building data models and conducting statistical analysis YOUR SKILLS AND EXPERIENCE To be successful when applying for this role you will need: Experience with owning the data visualisation platform within … Tableau Proven experience in data mining, statistical analysis, and predictive modeling Strong experience using SQL Exposure to DBT, big query, or other cloud data warehouses Previously worked cross-functionally with a wide range of data teams with a commercial outlook and working with subscription metrics Exposure to the education more »

that enables self-serve data access ad-hoc analysis and insight per operational meetings be that shallow or deep dive data models and conducting statistical analysis YOUR SKILLS AND EXPERIENCE To be successful when applying for this role you will need: with owning the data visualisation platform within Tableau … experience in data mining, statistical analysis and predictive modelling experience using SQL to DBT, big query or other cloud data warehouses worked cross-functionally with a wide range of data teams with a commercial outlook and working with subscription metrics to the education industry is a nice to 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 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 »

a key role in planning and delivering models and analysis that underpin the prices that go to market. You will need to understand both statistical modelling methods and machine learning techniques. Skills & experience needed: Solid knowledge of relevant statistical modelling methods – in particular GLMs Knowledge 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 Posts Read more about what our Engineers and Data Scientists do more »

clients within the Financial Services space and more. This role offers the chance to work on a really diverse range of projects, from scorecard modelling to strategy work, and could really see you take your career to the next level. THE ROLE This role would see you work with … a range of clients on projects including: Re-develop and enhance statistical models, specifically scorecards, to drive insight into the customer journey and enhance business performance Design credit risk strategies and provide support on wider lending and fraud strategies including optimization and analysis Provide wider ad hoc analysis and … external stakeholders and collaborating with businesses to communicate improvements and really make an impact YOUR SKILLS AND EXPERIENCE Previous experience in developing scorecards and statistical models is highly desirable Exposure to scorecard models is an essential requirement Prior experience in driving and optimising credit risk strategies Prior exposure to 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 »

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 »

retail pricing. Developing and embedding technical pricing strategy, using findings from the GI market to enhance technical pricing. Leading R&D in areas of statistical modelling and data innovation to develop more powerful pricing models. Key experience of the Senior Pricing Manager: 5+ years of General Insurance Pricing more »

Monitor the progress of tests in-flight using media metrics collected via external agencies and digital platforms Reporting Results: Analyse test data and measure statistical confidence, supporting the Measurement Lead on the translation of test results into actionable insights Statistical Tests: Ensure that tests are conducted with statistical … in database management and building dashboards (Tableau preferred) Experience in applying various analytics techniques to extract actionable insights Understanding of advanced analytical methodologies, including statistical analysis, knowledge of modelling techniques and building visualisation tools Ability to develop strong relationships within the Measurement team, as well as across Media … Planning, Marketing, and Econometrics teams Desirable: Experience in Advertising Campaign Measurement including: BLS (Brand Lift Surveys), CLS (Conversion Lift Studies), MMM (Marketing Mix Modelling), MTA (Multi-touch Attribution) The rewards There's one thing people can't stop talking about when it comes to : the perks! Here’s a 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 »

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 … presentations, and other technical sales support as needed. You’ll do it using: Fluent German Speaker 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 »

client is a systematic, multi-strategy hedge fund, seeking to grow its systematic equity business. They require an experienced quant PM skilled in developing statistical arbitrage equity strategies. The ideal candidate will possess expertise in alpha research, data analysis, and Python and/or C++ programming; and will gain … investment portfolio MSc/PhD from a top tier university Strong technical background in mathematics and statistics Good technical knowledge of, and proficiency in, statistical models, signal generation, back-testing, simulation and statistical techniques Data-mining and analysis skills with previous experience in working with large datasets would 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, statistical modelling, 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 »

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 »

Generalized Linear Models (Linear regression, ANOVA, ANCOVA, Logistic regression and other relevant models such as experimental design) and Mixed Effects Models Strong knowledge of statistical modelling techniques Knowledge of quantitative analytics, testing models, technical documentation 2 years experience working at a sell side firm Strong coding skills in … python. Responsibilities: Perform financial, liquidity, cost and performance modelling Conduct in depth quant research around market microstructure Optimise the team's algo execution and trading efficiency Talking to clients and external partners on a regular basis 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 »

code optimality test and a culture fit round. As part of our team, you'll embark on thrilling responsibilities including:- Utilizing advanced mathematical and statistical techniques to model and forecast Bitcoin market movements. Analyzing extensive financial datasets to identify lucrative trading opportunities. Exploring academic journals and financial literature to 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. Role 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 »

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 »