levels of understanding of credit risk Ability to document workings, findings, produce slides and reports Knowledge of credit risk programming languages such as Python, SAS, SQL, R and other tools such as Microsoft Excel, VBA, Word and PPT Soft skills including teamwork, collaboration, inclusiveness, flexibility, proactiveness, and motivation Ownership More ❯
of data scientist experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience More ❯
customers or our organization, and help them scale to other countries and organizations and scale down initiatives for prioritization. Voice the needs of the SAs and define requirements in terms of tooling, enablement and resources. Collaborate with other Business Operations Managers to identify and share best practices. We are More ❯
BSc/MSc/PhD) in Acoustics, Electrical/Electronic Engineering, Physics, Signal Processing, or a related discipline. Desirable: Experience with synthetic aperture sonar (SAS), passive/active sonar systems, or mine detection systems. Understanding of system-level integration and verification of sonar solutions. Familiarity with environmental data modelling More ❯
SQL - MSc or PhD preferred in either of the following areas: statistics, physics, mathematics, Computer Science, or Engineering - Creating customer segmentation models - Knowledge of SAS - Data Mining - R/Python - Proficient user of MS Office This is a superb career opportunity in the Data Science space. This company invests More ❯
Analysis Plan (SAP) generation and execution for observational studies. Expertise in methods development and application using statistical languages such as R/Matlab/SAS/SQL/Hadoop/Python. Experience in advanced visualization and visual analytics of routinely collected healthcare data. Experience in supporting pharmacoepidemiology studies (desirable More ❯
/sanctions/global trade compliance experience. Proficient in SQL data processing and skilled in using at least one professional analysis tool, such as SAS, Python, R, etc. Strong project management experience, good team collaboration skills, and ability to work under pressure. Fluent in English listening, speaking, reading, and More ❯
Analysis Plan (SAP) generation and execution for observational studies Expertise in methods development and application using statistical languages such as R/Matlab/SAS/SQL/Hadoop/Python Experience in advanced visualisation and visual analytics of routinely collected healthcare data Experience in supporting pharmacoepidemiology studies (desirable More ❯
/sanctions/global trade compliance experience. Proficient in SQL data processing and skilled in using at least one professional analysis tool, such as SAS, Python, R, etc. Strong project management experience, good team collaboration skills, and ability to work under pressure. Fluent in English listening, speaking, reading, and More ❯
data pipelining and extraction using SQL. Knowledge of SQL and Excel at a moderate or advanced level. Experience with data mining tools like SQL, SAS, SPSS, or similar. PREFERRED QUALIFICATIONS Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions. Our inclusive culture More ❯
Worthing, England, United Kingdom Hybrid / WFH Options
Mortimer Clarke Solicitors
reporting, Risk, MI environment. Working with large datasets of Activity, Inventory, customer and transactional data. Strong co-ordination and organisations skills. Experienced user of SAS, SQL, Power BI Reporting. Excellent database, spreadsheet and analytical tool development knowledge Excellent communication skills, both written and verbal. What happens next? If this More ❯
years of data scientist experience. 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience More ❯
be: 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 More ❯
be: 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 More ❯
be: 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 More ❯
years of experience in model validation or model development. Expert in the use of analytical tools such as Python/R/SQL/SAS and spreadsheets. Some knowledge of regulatory and risk management guidelines, such as EBA guidelines, CRR and PRA rules would be a bonus. Ability to More ❯
years of experience in model validation or model development. Expert in the use of analytical tools such as Python/R/SQL/SAS and spreadsheets. Some knowledge of regulatory and risk management guidelines, such as EBA guidelines, CRR and PRA rules would be a bonus. Ability to More ❯
Swindon, England, United Kingdom Hybrid / WFH Options
WeAreTechWomen
candidates that have experience within a reconciliation, data management or data insight environment. As a minimum requirement you'll: Have demonstrable programming experience using SAS, Teradata and/or SQL Ability to provide effective subject matter expertise to both internal and external stakeholders, translating technical detail into clear and More ❯
Support the team with the migration to new platform and adoption of appropriate tooling. Skills & Requirements: Demonstrable coding experience required as essential – experience with SAS, SQL & Python Previous HSBC experience is required Strong Stakeholder management skills with the ability to explain complex technical solutions to audiences of different technical More ❯
make technical trade-offs. You contribute to operational excellence and perform troubleshooting to resolve defects. Drive Company Wide Campaigns and keep the Compliance risks (SAS, Shepherd etc.) for ASCS systems under control. Lead technical design discussions and mentor junior engineers. A day in the life Big Picture: Solve problems More ❯
/sanctions/global trade compliance experience. Proficient in SQL data processing and skilled in using at least one professional analysis tool, such as SAS, Python, R, etc. Strong project management experience, good team collaboration skills, and ability to work under pressure. Fluent in English listening, speaking, reading, and More ❯
Minimum of 2 years industry experience Experience or coursework in real-world data analysis (e.g., claims data, electronic health records, registries). Proficiency in SAS for statistical analysis and data manipulation. Knowledge of biostatistics, epidemiological methods, and study designs . Strong problem-solving and analytical skills. Excellent written and More ❯
years of data scientist experience. 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience More ❯
execution , ensuring projects are delivered at scale with impact Strong communication, collaboration, and documentation skills Experience with supporting a mixed operational model which includes SAS/managed services vs. on-prem model for B2B mid-sized to large global client organizations Support infrastructure using Linux/Kubernetes based implementations More ❯
