1 to 25 of 521 Permanent Algorithms Jobs

assist them to ensure timely execution of new projects Lead initiatives like "automating scoring using machine learning techniques", "build asset allocation models", "build algorithms for automating financial planning framework", "build recommendation systems", "build system for automated fraud detection", etc Analyse data to help in better decision making Supporting initiatives ...

star schemas, snowflakes, denormalized models, and handling "slow-changing" dimensions/attributes Some experience in data science, statistical analysis, data mining, and predictive algorithms, including POC development Experience and understanding of a wide variety of analytical processes Experience with AI generated code, specifically Claude Experience with RAG and Machine Learning ...

cross-functionally with Product, Data science, Cloud infrastructure, and Machine learning platform teams to align on and co-develop the advanced recommendation systems and algorithms serving our Capital One users. Develop and maintain a flexible, scalable rules engine to enable business-driven personalization logic, allowing dynamic configuration of user segmentation ...

Lead, mentor, and grow a team of high-performing AI/ML Engineers focused on researching, developing, and deploying advanced machine learning models and algorithms in production environments Oversee the design, development, and deployment of complex AI-powered solutions addressing business challenges, ensuring collaboration across research, engineering, and product teams ...

Analysis & Modelling Conduct in-depth exploratory data analysis to identify trends, patterns, and anomalies across diverse datasets. Develop and deploy predictive models, machine learning algorithms, and statistical techniques, including natural language processing (NLP). Perform quantitative analysis to support scenario testing, stress testing, and thematic risk assessments. Ensure models ...

Java/C# (strongly preferred) Experience with: Object-oriented design and software engineering best practices Numerical methods (Monte Carlo, PDEs, stochastic calculus) Data structures, algorithms, and performance optimisation Familiarity with: Quant libraries (e.g., QuantLib) Cloud platforms or distributed computing (nice to have) Version control tools (Git) 📊 Preferred Domain Expertise ...

design and deliver production systems that enable systematic trading at scale. You partner with researchers and traders to translate ideas into resilient, performant algorithms and execution platforms. You thrive in a dynamic, collaborative environment and bring a builder’s mindset to continuously improve models, tooling and workflows. Job Responsibilities Design ...

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 ...

experience building enterprise applications and modern web technologies in production environments • Software Engineering Fundamentals – Strong understanding of OOP concepts, design patterns, SOLID principles, algorithms, data structures, and ability to write clean, maintainable code • Backend Development – Proficiency in Java, Spring Boot, Maven, and Python (Pandas, FastAPI, Flask) for building enterprise applications ...

similar field 6+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) Experience staying abreast of latest ML research with an intuitive ability to understand ...

similar field 6+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) Experience staying abreast of latest ML research with an intuitive ability to understand ...

Automation experts working in the Ai, Analytics and Automation Tribe. Responsibilities Lead the design, development, and execution of advanced statistical models and machine learning algorithms to solve complex business problems and derive actionable insights from large datasets. Collaborate closely with cross functional teams to define and refine business requirements, ensuring ...

experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 2+ years of experience with data gathering and preparation for ML models ...

experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 2+ years of experience with data gathering and preparation for ML models ...

experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 2+ years of experience with data gathering and preparation for ML models ...

/CD driven application deployments. Consult science users on application scalability to PBs of data by having a deep understanding of software engineering, algorithms, and underlying hardware infrastructure and their impact on performance. Confidently optimizes design and execution of complex solutions within large-scale distributed computing environments Produces well-engineered ...

field such as Computer Science, Data Science, or equivalent work experience; masters degree preferred. Insurance experience is highly preferred. Solid foundation in data structures, algorithms, and system design. Experience with modern data storage, messaging, and processing tools (e.g., SQL, NoSQL, Kafka, Redis), and cloud services (e.g., Azure, AWS). Proficiency ...

JavaScript/TypeScript and React Experience or familiarity with backend languages such as Java, Python, or Go Solid understanding of software engineering fundamentals, including algorithms and data structures Experience using Docker for containerisation Good understanding of DevOps practices, including CI/CD pipelines and automated testing Strong communication skills with ...

stakeholder reporting. Analyse large volumes of structured and unstructured data from diverse sources to identify patterns, anomalies, and potential risks. Develop analytical models and algorithms to support fraud detection, financial crime monitoring, misconduct investigations, and regulatory compliance initiatives. Apply advanced analytical techniques to detect suspicious transactions, behavioural patterns, and emerging ...

Automation experts working in the AI, Analytics and Automation Tribe. Responsibilities Contribute to the design, development, and implementation of statistical models and machine learning algorithms to solve business problems and derive actionable insights from datasets. Collaborate with cross functional teams to help refine business requirements, ensuring that data driven solutions ...

recognition, sentiment analysis, and language generation. Proven experience with large language model fine tuning, prompt engineering, and evaluation methodologies. Solid knowledge of data structures, algorithms, and software engineering principles. Experience with cloud based platforms and services such as Azure, with a focus on scalable AI solutions. Familiarity with software development ...

e.g., Python, R, SQL, etc. preferred. Required knowledge related to machine learning, including supervised, unsupervised, reinforced (deep) learning methods and ensemble learning methods. Specifically, algorithms such as k-NN, Linear and Generalized Linear Models, naïve Bayes, SVM, and Random Forest. Preferred knowledge related to how pharmaceutical companies market and sell ...

developing production quality Python is essential Deep understanding of Agentic AI systems and multi-agent architectures Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code ...

developing production quality Python is essential Deep understanding of Agentic AI systems and multi-agent architectures Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code ...

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