1 to 25 of 574 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 ...

with at least one major public cloud (AWS, GCP, or Azure) and with containerization/orchestration (Docker/Kubernetes).Strong grounding in data structures, algorithms, ML, data mining, information retrieval, and statistics.Excellent communication skills, with the ability to engage senior technical and business partners.\n Preferred qualifications, capabilities, and skills ...

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). ...

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 ...

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 ...

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 ...

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 ...

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 ...

data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. You are proficient in SQL and database operations for data manipulation and analysis. You have experience with GenAI technologies (LLMs ...

data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. You are proficient in SQL and database operations for data manipulation and analysis. You have experience with GenAI technologies (LLMs ...

data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. You are proficient in SQL and database operations for data manipulation and analysis. You have experience with GenAI technologies (LLMs ...

data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. You are proficient in SQL and database operations for data manipulation and analysis. You have experience with GenAI technologies (LLMs ...

data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. You are proficient in SQL and database operations for data manipulation and analysis. You have experience with GenAI technologies (LLMs ...

. Familiarity with CDN, DNS, WAF, cookie consent, web accessibility (WCAG/EAA), and pharma or life sciences compliance requirements. Experience with NLP, personalization algorithms, semantic search, and evaluation of emerging AI technologies. Preferred Skills: Experience with headless CMS patterns in AEM and GraphQL APIs for omnichannel delivery. Background ...

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 ...

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 ...

business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualizations such as graphs, charts, and dashboards. ...

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 ...