5 of 5 Permanent SAS Jobs in the Midlands

culture within the team. Skills & Attributes: Proven experience in a credit risk analytics role, preferably within banking or financial services. Exceptional accuracy and attention to detail. Strong proficiency in SAS, SQL or Python for data analysis and modelling. Hands on experience with credit risk strategy development, credit scoring and decision analytics. Excellent problem-solving skills with the ability to More ❯

Desirable experience would be to have: Experience of working in an Agile Team; preferably Safe. Experience in specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us Were one of the largest building More ❯

Strong experience as a Data Engineer (migrating legacy systems onto AWS, building data pipelines) Strong Python experience Tech stack experience required: AWS Glue, Redshift, Lambda, PySpark, Airflow SSIS or SAS experience (Desirable) Benefits Salary up to £57,500 + up to 20% bonus Hybrid working: 1 to 2 days a week in the office 28 days holiday plus bank More ❯

Understands competitors and their products as well as potential partner relationships for the product along with Business Development • Enterprise Storage protocols, such as iSCSI, FC, NFS, CIFS, Object, NVMe, SAS, LTO, etc. • Security & Compliance standards (FIPS, APL, KMIP, TLS, etc.) Strong written and verbal communications skills with the ability to explain complex technology concepts into simple and intuitive communications More ❯

Are you an experienced statistical/modeller with strong SAS programming skills This role offers the perfect blend of hands-on model development, governance, and the opportunity to shape how statistical models are built and managed across the business. You’ll play a key role in reviewing and strengthening existing models and frameworks , ensuring robust governance and best practice. … As the team evolves, you’ll move into hands-on model design and development , building and refining statistical models in SAS — including propensity , sentiment , behavioural , density , and survival models . Key Requirements: Strong, hands-on SAS programming experience – essential Proven experience in statistical or predictive modelling (any industry background) Ability to design, build, and validate models such as … is a great opportunity to join a business investing heavily in analytics, where you’ll have real influence over how statistical modelling evolves and develops. If you’re a SAS Modeller with a passion for statistical modelling and real-world problem solving — from propensity to sentiment and everything in between — this could be the perfect next step. Please apply More ❯