including visualisations and written reports. Design and commission new work, such as a new survey. Experience and aptitude in using a statistical package, e.g. SAS, SPSS or R. Knowledge and Understanding Essential Strong analytical and requirements gathering skills. Be able to understand and interpret results from complex or novel more »
when working with public data such as the Data Protection Act. Knowledge of industry-standard data management or analysis software, such as MS SQL, SAS, Tableau, R or PowerBI. Working knowledge of agile methodologies or relevant experience or training. Desirable Understanding of data security & information governance. Knowledge of testing more »
Leeds, West Yorkshire, United Kingdom Hybrid / WFH Options
In Technology Group
degree, such as (but not limited to) Actuarial Science, Mathematics, Statistics, Engineering or Economics. Experience in at least one of R/Python/SAS/SQL language Experience in using specialist pricing software (i.e. Emblem and Radar) - (Desirable) Experience using PowerBI (Desirable) If the above role is of more »
TO APPLY Please register your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst more »
TO APPLY Please register your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst more »
understanding of data quality, processing and data visualisation principles, additionally some knowledge within data science would be beneficial. Strong data manipulation skills, knowledge of SAS/Python, advanced excel (VBA, SQL) would be beneficial. What we'll give you: We recognise we wouldn't be where we are today more »
the results of evaluations. Work with cross-functional teams to ensure that the analysis and reporting of data are accurate, complete, and timely. Conduct SAS programming for effective and safety tables, listings, figures, and analysis. Contribute to statisticians to author statistical analysis plans and produce shell tables. If you more »
experience: 3+ years as a Dialler Manager Experienced working in a call centre environment Experienced in analysing large sets of data using SQL or SAS Hands-on experience and expertise in call centre technologies, Dialler, CMS and other applications. Experience managing multiple contact channels within a call centre setting. more »
scorecards. Developing credit strategies at all stages of the credit risk lifecycle. Working with clients to drive portfolio analytics and reporting on insights. Using SAS, SQL, and Python daily within the role. Your skills and experience To be successful as a Senior Credit Risk Consultant, you will need: Experience … developing credit risk scorecards. Experience developing acquisition strategies. Strong experience with SAS, SQL, and/or Python. Experience working within financial services. Numeric degree from a top UK university. Excellent communication skills and strong experience working with senior stakeholders. Benefits Up to £65,000 + comprehensive benefits package HOW more »
Credit Risk Scorecard experience is essential (understanding of how they work, how they are built/used to help lenders make decisions) Experience using SAS or Python is essential Highly numerate degree from an accredited University THE BENEFITS: Flexible Salary structure up to £65,000 Competitive benefits package Flexible … the apply feature on this page KEYWORDS: Credit Risk Analytics, Credit Risk Modelling, Scorecards, IFRS9, AIRB, LGD, EAD, PD, Forecasting, Decision Science, Logistic Regression, SAS, SQL, R, Application Scorecard, Behavioral Scoring more »
