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 with data visualization tools (e.g., Tableau more »
indicators as well 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 more »
preferable but not a requisite. Good knowledge of pricing techniques, tools and software with technical proficiency using one of more of SQL, R, Python, SAS or similar. Strong analytical, problem-solving and communication skills, with the ability to work independently and collaboratively dependent on the focus at any time. more »
Hands-on analytical experience Power BI or comparable BI software (Tableau, Looker, Qlik, etc) SQL, R, Python or equivalent statistical modeling tools (e.g., Regress, SAS, etc more »
applications like o9 Technologies, Blue Yonder Kinaxis, Anaplan, and Toolsgroup is preferred. Statistical, Optimization, and Simulation skills through software tools and packages like R, SAS, CPLEX, or similar are desirable. Deep understanding of supply chain planning concepts including Merchandise Planning, Assortment Planning, Demand Management, Distribution Planning, Master Planning, and more »
commercial insurance pricing. Personal lines pricing considered a plus Able to code in Python or similar languages as prior experience with any programming language (SAS, SQL, Big Query or a similar language) is preferred Highly motivated and ability to work off your own initiative Strong communication and interpersonal skills more »
such as trend analysis, linear regression, migration matrices, and replicating finance business logic are a requisite. in programming languages and data structures such as SAS, SQL, Python, Excel, VBA. PowerBI or other MI user interface software would be an advantage. to navigate large stakeholder groups while attaining the best more »
methodologies (e.g., Waterfall, Agile, Scrum, DevOps, Testing), frameworks and best practices. Advanced working knowledge in SQL and relational databases (Teradata, Microsoft SQLServer, Oracle or SAS), as well as working familiarity with a variety of NoSQL databases and cloud-based data platforms such as Snowflake. Technical Business Analysis experience. A more »
similar tools Experience with data modeling, warehousing and building ETL pipelines Experience writing complex SQL queries Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED more »
Greater London, England, United Kingdom Hybrid / WFH Options
Morgan McKinley
analytical, consultative, and communication skills; as well as the ability to make good judgement and work with both technical and business personnelWorking knowledge of SAS and R code used in data processing and modelling tasksRemarkable experience with Microsoft Azure platform (Databricks, AzureDevOps, Data Factory)Proficiency in SQL, Python, Spark more »
London, England, United Kingdom Hybrid / WFH Options
Fruition IT
experience working in a similar System Analytics Lead role, with the ability to lead on analytics projects Strong data analytical skills - i.e. SQL, Python, SAS, etc. Experience working in the financial services sector Excellent communication and stakeholder management skills Any experience in financial crime or anti-money laundering (AML more »
scorecard models is an essential requirement Prior experience in driving and optimising credit risk strategies Prior exposure to Credit Bureau data is essential Strong SAS, SQL or Python Educated to at least a degree level in a numerate degree SALARY AND BENEFITS Up to £65,000 base salary Discretionary more »
Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/ more »
SKILLS AND EXPERIENCE : least 2 years prior experience in pricing analytics within insurance to have experience using Radar knowledge of programming software such as SAS, SQL, Python or R experience with insurance pricing models, either in development or deployment SALARY AND BENEFITS to £45,000 base salary bonus scheme more »
retail banking. Presentation of model risk papers for the risk oversite committees. Additional Notes Investment banking quantitative experience is not relevant for this role. SAS model developers willing to move into validation may be considered for other roles. The position will be based in the City London. Please send more »
will collaborate with them to ensure that the development and analysis roadmap of your team reflects their requirements. Your team will mainly be using SAS and PowerBI, in combination with data pipeline development and analysis on the Azure cloud, using Databricks. The coding language used is Python. An earlier more »
next level! 💪🏼 What experience do you need? 🤔 Price optimisation and the general insurance reg environment. 2-3 years Actuarial Pricing experience Nice to have... SAS and/or SQL Radar and Emblem or similar Data science programming language, preferably Python. If you're not feeling your current job/ more »
using Emblem or Radar software and having built/developed Radar models. Strong knowledge of UK Personal Lines Insurance markets. Proficiency in programming languages: SAS, SQL, Python, R. Excellent written and verbal communication skills. THE BENEFITS Up to £45,000 salary. Hybrid working. Benefits package. Contributory pension scheme with more »
and critical problem-solving approach Dedicated to producing outcomes that consistently meet or exceed stringent quality benchmarks Proficiency in data processing languages such as SAS, SQL, or Python SALARY AND BENEFITS 27 days holiday, plus bank holidays Annual bonus Pension contributions Flexible benefit allowance And more HOW TO APPLY more »
years+ of credit modelling experience with advanced SAS or SQL. Statistical backgriund with credit modelling experience. IRB experience and advantage but not essential. This role is in the IRB (Internal Rating Based Approach) Model Development Team in Risk Analytics. They are responsible for the design and delivery of predictive more »
to support business growth and revenue targets • Marketing cloud knowledge with technologies like DMP platform (Krux, BlueKai etc.) and Ad Server technologies like (OpenX, SAS Ad Server, Adobe T&T etc.) • Knowledge of various DMP data segments and providers that are available in Digital Marketing Platform specific to UK more »
PhD candidate related to quantitative science. Solid R programming skills (have used packages such as Tidyverse, ggplot2, R shiny and some statistical packages), and SAS knowledge, preferred Quantitative degree ideally related to computing science and statistics to understand the biostatistical R package Excellent collaborating and communication skills #LI-Hybrid more »
implementation of new applications within the end-user's environment - in addition to the testing and improvement of existing code. Experience with Python and SAS will be useful, as well as Oracle DB or an understanding of SQL. The ideal candidate will have at least 2-3 years of more »
implementation of new applications within the end-user's environment - in addition to the testing and improvement of existing code. Experience with Python and SAS will be useful, as well as Oracle DB or an understanding of SQL. The ideal candidate will have at least 2-3 years of more »
just in Pricing, so this role will give you the opportunity to work across the business and make a real difference! Nice to have... SAS and/or SQL Radar and Emblem or similar Data science programming language, preferably Python. If you're not feeling your current job/ more »
