876 to 900 of 2,362 SQL Jobs in London

institution. Candidates must have experience within a Risk function or a strong understanding passion when it comes to Investment Risk. Proficiency in Python and SQL is a must. More ❯

skills will also be an advantage. Essential skills * Excel (Advanced) * Python (Advanced) * Power BI (Intermediate – Advanced) * Demonstrable experience of producing data visualisations Preferred skills * SQL * ESRI Analytics * Maltego More ❯

edge, data-driven lending platform aimed at delivering seamless, efficient, and responsible credit solutions at scale. YOUR SKILLS AND EXPERIENCE Strong STEM degree. Strong SQL and Python skills. 5+ years of experience in an analytical role. THE BENEFITS A salary of up to £140,000. Hybrid working policy. Generous pension More ❯

salary on offer is between £40K - £50K, depending on experience. Responsibilities: - Experienced in diagnosing and troubleshooting software issues quickly and effectively. - Understanding of Linux, SQL, and cloud technologies such as AWS (EC2, S3, Lambda, CloudFormation). - Experience using Python, Docker containerization, and Git version control. - Familiar with Elastic Stack (Elasticsearch More ❯

To be successful in this role, you will have: Strong analytical skills with experience in customer insights, marketing analytics, or business intelligence. Proficiency in SQL, is a must have. Google Analytics experience is strongly preferred. Familiarity with marketing performance metrics (CAC, ROI, LTV) and A/B testing methodologies. Experience More ❯

To be successful in this role, you will have: Strong analytical skills with experience in customer insights, marketing analytics, or business intelligence. Proficiency in SQL, is a must have. Google Analytics experience is strongly preferred. Familiarity with marketing performance metrics (CAC, ROI, LTV) and A/B testing methodologies. Experience More ❯

and quantitative analysis within a buy-side house Working knowledge of fixed income investments in an investment management house Knowledge of Python, VBA or SQL Strong Excel skills as well as knowledge of performance systems such as Factset or Bisam Due to the nature of this role, candidates without experience More ❯

DeFi and blockchain trends. Requirements: Experience: 5+ years in Backend/DevOps engineering. Blockchain: Understanding of consensus mechanisms and staking. Tech: Proficiency in AWS, SQL, GIT and Solidity Education: CS, Engineering degree, or equivalent experience. Benefits Competitive salary + token incentives. Flexible remote work options. Work on pioneering DeFi and More ❯

A successful Finance Systems Analyst should have: A degree in Finance, Accounting or a related field Proven experience in finance systems analysis Knowledge of SQL and experience using Dynamics 365 Proficiency in using financial software and databases Strong analytic and problem-solving skills Excellent communication and interpersonal skills A keen More ❯

implementation experiences for Oracle Financials, mainly General Ledger/Payables/Assets System implementation and production support experience preferred Oracle EBTax experience Knowledge of SQL Ability to work with various levels of business users, other IT staff and the vendor to resolve business and systems issues in a timely manner. More ❯

analysis. Working with large data sets (real time, storage, and geo-spatial data). Writing and reviewing data science code, proficient in Python, C#, SQL, R, or other programming languages for data analysis and machine learning. A background in data science or data engineering. Excellent communication skills. Strong appetite to More ❯

What They're Looking For 1-2 years in data science or a related field, or a Master’s degree. Strong Python programming (essential), SQL, and linear regression/statistical modeling. Experience with web scraping, machine learning, or dashboarding is a plus. A background in finance or exposure to financial More ❯

What They're Looking For 1-2 years in data science or a related field, or a Master’s degree. Strong Python programming (essential), SQL, and linear regression/statistical modeling. Experience with web scraping, machine learning, or dashboarding is a plus. A background in finance or exposure to financial More ❯

you’ll already have a broad scope of analytics experience, but want support to further develop your technical capabilities. SKILLS + EXPERIENCE Experience using SQL and BigQuery in a working environment Have an interest in Digital Analytics – bonus points if you’ve used Google Analytics or similar Understanding of Digital More ❯

you’ll already have a broad scope of analytics experience, but want support to further develop your technical capabilities. SKILLS + EXPERIENCE Experience using SQL and BigQuery in a working environment Have an interest in Digital Analytics – bonus points if you’ve used Google Analytics or similar Understanding of Digital More ❯

Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch. Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes More ❯

Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch. Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes More ❯

practices in testing and documentation. Azure Integration: Utilize Azure PaaS services (App Services, Function Apps, API Management, Service Bus, Azure Storage, Key Vaults, Azure SQL, Azure Cosmos DB, Azure AD) to build and manage scalable cloud solutions. API & Microservices: Design and implement RESTful APIs and web services, with a strong More ❯

onboard and apply predictive models in new marketing channels 🧑‍🤝‍🧑 Manage and develop a small team, including an experienced Lead Analyst Tools & Tech Stack: 🛠 Strong SQL essential 📊 Data visualisation (Power BI preferred) 🐍 Python experience desirable 🧱 Exposure to CDPs and cloud platforms a plus - they're launching Amperity and have an advanced More ❯

Experience with ETRM/CTRM systems , particularly in finance Solid understanding of trading products including commodities, FX, credit, or fixed income . Familiarity with SQL , system integration, and data mapping processes. Knowledge of regulatory reporting frameworks (EMIR, REMIT, MiFID II, etc.). Experience working in Agile/Scrum environments. Please More ❯

within a dynamic environment Demonstrated success in people management, team leadership, and talent development Advanced technical proficiency with Excel and Power BI (experience with SQL and R is advantageous but not essential) Strong ability to distil complex data into clear, meaningful insights for non-technical audiences A strategic thinker with More ❯

Experience with ETRM/CTRM systems , particularly in finance Solid understanding of trading products including commodities, FX, credit, or fixed income . Familiarity with SQL , system integration, and data mapping processes. Knowledge of regulatory reporting frameworks (EMIR, REMIT, MiFID II, etc.). Experience working in Agile/Scrum environments. Please More ❯

within a dynamic environment Demonstrated success in people management, team leadership, and talent development Advanced technical proficiency with Excel and Power BI (experience with SQL and R is advantageous but not essential) Strong ability to distil complex data into clear, meaningful insights for non-technical audiences A strategic thinker with More ❯

coding techniques. Experience with security tools (e.g., static/dynamic analysis tools, vulnerability scanners). Familiarity with common web technologies (e.g., Java, Python, JavaScript, SQL). Knowledge of security frameworks and standards (e.g., NIST, ISO 27001). Strong problem-solving skills and ability to work in a collaborative environment. Why More ❯

Data Engineering Experience (DE Path) ETL Big Data Experience and Tooling (PySpark, Databricks) Python Testing Frameworks Data Validation and Data Quality Frameworks Data Handling (SQL & NoSQL) Feature Engineering Chunking Document Ingestion Graph Data Structures (Neo4j) CI/CD Pipelines Basic Kubernetes (Manifests, Debugging, Docker, Argo Workflows) MLflow Deployment and Usage More ❯