1 to 25 of 635 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 ...

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 ...

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 ...

complex findings to both technical and non-technical stakeholders. Proficiency in programming languages such as Python, R, and SQL. Expertise in various machine learning algorithms, techniques, including deep learning and LLMs. Knowledge of big data technologies and experience on cloud platforms like AWS or Azure as well as managing large ...

familiarity with LLM based workflows/architectures such as retrieval augmented generation, multi agent architectures Experience with statistical/analytical methodologies and machine learning algorithms (e.g. classification, regression, clustering, feature selection/engineering, deep learning, time series analysis, network analysis, hypothesis testing) Exceptional communication skills and ability to present findings ...

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 ...

Engineering, Software Engineering, Data Science or Machine Learning - ideally gained in consulting or project based work Experience and interest in Software development (Python), NLP algorithms/LLMs, AI development frameworks (LangChain, Autogen, Llamaindex) or Cloud technologies A quantitative academic background: AI, Machine Learning, Mathematics, Econometrics, Data Science, Computer Science, Physics ...

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 ...

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 ...

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 ...

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 ...

testing strategies (e.g., data validation, model correctness, performance testing). Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms. Strong Python programming skills and adherence to software ...

testing strategies (e.g., data validation, model correctness, performance testing). Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms. Strong Python programming skills and adherence to software ...

testing strategies (e.g., data validation, model correctness, performance testing). Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms. Strong Python programming skills and adherence to software ...

testing strategies (e.g., data validation, model correctness, performance testing). Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms. Strong Python programming skills and adherence to software ...