support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks) Proficiency More ❯
system tuning from inception to completion Hands-on understanding on minimum of one TM systems across rule designs, segment designs, technical design and processes (e.g NICE Actimize, Oracle Mantas, SAS, FiServ) Good understanding on payment flows and data challenges Good SQL, Excel and Data Analysis on high volume of transaction data Personal Skills: Confidence to credibility with clients from More ❯
financial services or risk. Advanced skills in Power BI – this is essential. Strong communication skills – confident presenting insights and influencing stakeholders at all levels. Coding experience in Python (or SAS with willingness to learn Python). Knowledge of risk/financial terminology, and an interest in applying analytics in a risk management environment. Proactive, collaborative and able to thrive More ❯
financial services or risk. Advanced skills in Power BI – this is essential. Strong communication skills – confident presenting insights and influencing stakeholders at all levels. Coding experience in Python (or SAS with willingness to learn Python). Knowledge of risk/financial terminology, and an interest in applying analytics in a risk management environment. Proactive, collaborative and able to thrive More ❯
financial services or risk. Advanced skills in Power BI – this is essential. Strong communication skills – confident presenting insights and influencing stakeholders at all levels. Coding experience in Python (or SAS with willingness to learn Python). Knowledge of risk/financial terminology, and an interest in applying analytics in a risk management environment. Proactive, collaborative and able to thrive More ❯
london (city of london), south east england, united kingdom
InterQuest Group
financial services or risk. Advanced skills in Power BI – this is essential. Strong communication skills – confident presenting insights and influencing stakeholders at all levels. Coding experience in Python (or SAS with willingness to learn Python). Knowledge of risk/financial terminology, and an interest in applying analytics in a risk management environment. Proactive, collaborative and able to thrive More ❯
Forensics, EDRM); Big Data and Data Analytics- (MI/BI/CI);InfoSec and Cyber Crime; Audit; Accountancy and Finance; FinTech (Payments etc.);Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.);Compliance/Corporate Governance ;IT- (full SDLC- BA’s PM’s , Architects, Developers etc.); Brimstone Consulting acts as an employment agency (permanent) and as an employment business More ❯
Forensics, EDRM); Big Data and Data Analytics- (MI/BI/CI);InfoSec and Cyber Crime; Audit; Accountancy and Finance; FinTech (Payments etc.);Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.);Compliance/Corporate Governance ;IT- (full SDLC- BA’s PM’s , Architects, Developers etc.); Brimstone Consulting acts as an employment agency (permanent) and as an employment business More ❯
engineer Worked you way into a lead data role and then into a management (mentoring, coaching, team development etc) Very strong technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data More ❯
Architecture team is a diverse group of architects located throughout Asia, Pacific and Japan. The team develops Contact Centre architectures and solutions using Amazon Connect for our customers. Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements, and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate More ❯
bank. Prior leadership or team lead experience. In-depth knowledge of UK and EU AML regulations, FCA guidelines, and industry standards. Experience working with transaction monitoring systems (e.g., Actimize, SAS, ComplyAdvantage, etc.). Strong analytical, investigative, and decision-making skills. Excellent written and verbal communication skills. Benefits Competitive salary & progression Open and inclusive culture Hybrid working Fantastic offices and More ❯
developing dashboards, and producing insightful MI to support decision-making. Key responsibilities Support the modernisation of data analysis and reporting (Power BI, Python, automation) Assist in the migration from SAS to Power BI and Python Produce regular and ad-hoc management information (MI) and data insights Collaborate with colleagues across risk and other functions on data governance Present findings … Analysis experience in banking Understanding of risk/financial terminology, or interest in developing this knowledge Strong technical skills in Power BI and Python Willingness to learn and apply SAS and SQL as needed McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. More ❯
to London on a full time basis and be a UK Resident. You’ll have IRB Modelling experience, ideally in Mortgages though this isn’t a must. SQL/SAS OR Python and be smartly turned out – this is a client facing role. You’ll be educated in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or Financial … ASAP. Salary from £65-90k Base Keywords: Credit Risk Analyst, Modelling Analyst, Senior Credit Risk Analyst, Risk modeller, modelling analyst, Senior Analyst, IFRS9, IRB, Modelling, IFRS 9, Python, SAS, PhD, Quantitative, Quant, Analyst, Credit Risk Manager, Credit Risk Consultant More ❯
to London on a full time basis and be a UK Resident. You’ll have IRB Modelling experience, ideally in Mortgages though this isn’t a must. SQL/SAS OR Python and be smartly turned out – this is a client facing role. You’ll be educated in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or Financial … ASAP. Salary from £65-90k Base Keywords: Credit Risk Analyst, Modelling Analyst, Senior Credit Risk Analyst, Risk modeller, modelling analyst, Senior Analyst, IFRS9, IRB, Modelling, IFRS 9, Python, SAS, PhD, Quantitative, Quant, Analyst, Credit Risk Manager, Credit Risk Consultant More ❯
to London on a full time basis and be a UK Resident. You’ll have IRB Modelling experience, ideally in Mortgages though this isn’t a must. SQL/SAS OR Python and be smartly turned out – this is a client facing role. You’ll be educated in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or Financial … ASAP. Salary from £65-90k Base Keywords: Credit Risk Analyst, Modelling Analyst, Senior Credit Risk Analyst, Risk modeller, modelling analyst, Senior Analyst, IFRS9, IRB, Modelling, IFRS 9, Python, SAS, PhD, Quantitative, Quant, Analyst, Credit Risk Manager, Credit Risk Consultant More ❯
london (city of london), south east england, united kingdom
PeopleGenius
to London on a full time basis and be a UK Resident. You’ll have IRB Modelling experience, ideally in Mortgages though this isn’t a must. SQL/SAS OR Python and be smartly turned out – this is a client facing role. You’ll be educated in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or Financial … ASAP. Salary from £65-90k Base Keywords: Credit Risk Analyst, Modelling Analyst, Senior Credit Risk Analyst, Risk modeller, modelling analyst, Senior Analyst, IFRS9, IRB, Modelling, IFRS 9, Python, SAS, PhD, Quantitative, Quant, Analyst, Credit Risk Manager, Credit Risk Consultant More ❯
strategy, aligned with business goals. Maintain a roadmap for evolving analytics capabilities. Own and govern analytics platforms, embedding standards and compliance. Drive adoption of tools such as Power BI, SAS, and Databricks. Champion a hub-and-spoke delivery model and clarify responsibilities. Build communities of practice and embed data-driven decision making. Partner with senior stakeholders to prioritise initiatives … the Analytics & Insight Lead: Proven experience delivering analytics and insights at scale. Background in financial services, insurance, or other regulated sectors. Strong knowledge of tools such as Power BI, SAS, and Databricks. Experience setting governance frameworks and standards. Excellent communication and senior stakeholder management skills. Leadership experience mentoring data professionals and driving collaboration. Strategic thinker with strong problem-solving More ❯
strategy, aligned with business goals. Maintain a roadmap for evolving analytics capabilities. Own and govern analytics platforms, embedding standards and compliance. Drive adoption of tools such as Power BI, SAS, and Databricks. Champion a hub-and-spoke delivery model and clarify responsibilities. Build communities of practice and embed data-driven decision making. Partner with senior stakeholders to prioritise initiatives … the Analytics & Insight Lead: Proven experience delivering analytics and insights at scale. Background in financial services, insurance, or other regulated sectors. Strong knowledge of tools such as Power BI, SAS, and Databricks. Experience setting governance frameworks and standards. Excellent communication and senior stakeholder management skills. Leadership experience mentoring data professionals and driving collaboration. Strategic thinker with strong problem-solving More ❯
strategy, aligned with business goals. Maintain a roadmap for evolving analytics capabilities. Own and govern analytics platforms, embedding standards and compliance. Drive adoption of tools such as Power BI, SAS, and Databricks. Champion a hub-and-spoke delivery model and clarify responsibilities. Build communities of practice and embed data-driven decision making. Partner with senior stakeholders to prioritise initiatives … the Analytics & Insight Lead: Proven experience delivering analytics and insights at scale. Background in financial services, insurance, or other regulated sectors. Strong knowledge of tools such as Power BI, SAS, and Databricks. Experience setting governance frameworks and standards. Excellent communication and senior stakeholder management skills. Leadership experience mentoring data professionals and driving collaboration. Strategic thinker with strong problem-solving More ❯
City of London, Greater London, UK Hybrid / WFH Options
Proclinical Staffing
an EU passport. Responsibilities: Evaluate clinical trial documents such as protocols, SAPs, CRFs, and CSRs. Author, review, and approve study TFL shells and dataset specifications. Develop, validate, and document SAS programs for datasets, TFLs, and macros following best practices. Identify and resolve data issues, outliers, and standards discrepancies. Review and approve CDISC validation tool reports. Stay updated on emerging … projects, including resource management, risk assessment, and delivery to budget. Lead internal and client meetings, share knowledge, and contribute to process improvement initiatives. Key Skills and Requirements: Proficiency in SAS programming with experience in clinical trial disclosures and/or data anonymization. Familiarity with CDISC standards (SDTM, ADaM) and TLF generation. Strong problem-solving skills and ability to apply More ❯