1 to 25 of 187 Permanent Algorithms Jobs in London

rates), including pricing, curve construction, and risk analytics (duration, convexity, DV01). Advanced mathematical knowledge (e.g., statistics, time‐series analysis, asset‐pricing theory, optimization algorithms). Strong knowledge of one or more SQL/NoSQL databases. Experience building containerized applications and deploying to cloud (AWS, GCP, Azure, or similar). ...

rates), including pricing, curve construction, and risk analytics (duration, convexity, DV01). Advanced mathematical knowledge (e.g., statistics, time-series analysis, asset-pricing theory, optimization algorithms). Strong knowledge of one or more SQL/NoSQL databases. Experience building containerized applications and deploying to cloud (AWS, GCP, Azure, or similar). ...

services for the Markets CRM platform Execute software solutions, design, development, and technical troubleshooting Create secure, high‐quality production code and maintain robust algorithms Produce architecture and design artifacts for complex applications Gather, analyze, and synthesize data to drive continuous improvement Identify and address hidden problems and patterns in data ...

systems to a trading desk. Key Responsibilities Design and develop sophisticated algorithmic trading strategies using quantitative methods and statistical analysis Implement and optimize execution algorithms to improve trading efficiency and reduce market impact Analyse market microstructure and develop models to predict short‐term price movements Collaborate with quants, developers ...

frameworks) Familiarity with LLM-based systems for structured information extraction from unstructured text An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders ...

hands-on experience of building RESTful APIs using popular frameworks like Spring* Experience of following TDD and clean code principles* Proficiency with data structures, algorithms and SQL* Able to independently work in fast paced and rapidly changing environment**Any Beneficial/Nice to have skills and experience:*** Experience of working ...

than a number. Experience working in fintech or within the financial services industry. Proficient understanding of core computer science principles, including data structures, algorithms, software design, and complexity analysis. Demonstrable programming ability in at least one modern language (e.g., Python, Java, Go, etc). Strong analytical and problem-solving skills ...

frameworks). Familiarity with LLM‐based systems for structured information extraction from unstructured text. Understanding of computer science fundamentals such as data structures and algorithms and a data‐oriented approach to problem‐solving. Excellent communication skills and ability to collaborate with engineering peers as well as non‐engineering stakeholders such ...

business. Job Responsibilities: Execute software solutions, design, development, and technical troubleshooting to solve complex problems Create secure, high-quality production code and maintain algorithms that integrate with critical systems Produce architecture and design artifacts for complex applications, ensuring alignment with design constraints Gather, analyze, and synthesize data to develop visualizations ...

think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high‐quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code ...

Engineering, Mathematics, Physics or Computer Science Markets experience and familiarity with general trading concepts and terminology Knowledge of options pricing theory, trading algorithms or financial regulations Experience with robust testing and verification practices ABOUT US We recognize that our people are our strength and the diverse talents they bring ...

field. Track record: Proven track record of delivering AI solutions from research to production in real-world applications. Knowledge: Strong foundation in machine learning algorithms and deep learning concepts including Neural Networks and Transformer-based architectures. Knowledge in developing and deploying scalable models on Databricks, Azure, and AWS, leveraging tools ...

Computer Science, Mathematics, Electrical Engineering or related discipline. 6+ years of software development experience. Strong analysis and design skills, plus knowledge of data structures, algorithms and performance-oriented design. Strong communication skills with both technical and business audiences, and comfortable working with multiple global stakeholders. Expert Knowledge ...

Computer Science, Mathematics, Electrical Engineering or related discipline. 6+ years of software development experience. Strong analysis and design skills, plus knowledge of data structures, algorithms and performance-oriented design. Strong communication skills with both technical and business audiences, and comfortable working with multiple global stakeholders. Expert Knowledge ...

them. A pragmatic understanding of computer science fundamentals. We care more about your ability to solve real‐world problems with data structures and algorithms than your ability to recite them from a textbook. An opinion on what makes good code and good architecture, and the ability to articulate it. ...

learning and predictive analytics to dynamically right-size cloud resources, manage spot instances, and optimize data platform workloads. Predictive Capacity Planning: Ability to design algorithms that forecast workload demands and proactively scale infrastructure to prevent over-provisioning while maintaining strict SLAs. Complementary Behaviours: Toil-Reduction Mindset: A relentless focus ...

learning and predictive analytics to dynamically right‐size cloud resources, manage spot instances, and optimize data platform workloads. Predictive Capacity Planning: Ability to design algorithms that forecast workload demands and proactively scale infrastructure to prevent over‐provisioning while maintaining strict SLAs. Complementary Behaviours: Toil‐Reduction Mindset: A relentless focus ...

good understanding of DevOps and CI/CD You have a strong knowledge of Computer Science fundamentals such as OOP, Design Patterns, Algorithms You have a strong interest in emerging technologies and are comfortable with AI enabled development You're collaborative communicator who enjoys working directly with users, stakeholders ...

etc. Proven quantitative model development or model validation experience Markets experience and familiarity with trading concepts and terminology Knowledge of options pricing theory, trading algorithms, financial regulations, stochastic processes, partial differential equations, and numerical analysis Equal Employment Opportunity We recognize that our people are our strength and the diverse talents ...

Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high-quality production code and maintain algorithms that integrate with existing systems Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery Build AI/ML solutions ...

feedback and proposes improvements to architecture governance practices Creates secure and high-quality production code, and reviews and debugs code written by others. Maintains algorithms that run synchronously with appropriate systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene ...

/AI for quant finance (signal extraction, surrogate modelling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimisation, hedging algorithms, execution analytics, and transaction cost modelling. Familiarity with distributed computing and market data tooling (e.g., kdb+/q, SQL), and performance engineering for large‐scale simulations. Contributions ...

large scale systems.* Industry experience, operating at a senior engineer or technical‐lead‐equivalent level.* Solid understanding of object‐oriented design, data structures, algorithms, concurrency, memory management, and system integration.* Experience building and supporting distributed systems, including messaging, APIs, and inter‐service communication.* Familiarity with Linux environments, build tools, version ...

solutions in a commercial environment Strong Python and SQL skills Experience using TensorFlow, PyTorch, Scikit-learn or similar frameworks Strong understanding of machine learning algorithms, deep learning architectures and model deployment practices Experience with Azure, AWS or GCP cloud environments Knowledge of data engineering principles including ETL processes, data pipelines ...

feedback and proposes improvements to architecture governance practices Creates secure and high-quality production code, and reviews and debugs code written by others. Maintains algorithms that run synchronously with appropriate systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene ...