49 Timeseries Analysis Jobs

As an Artificial Intelligence/Machine Learning Engineer at CDM Smith, your role involves collaborating with the Data Technology group to drive strategic Architecture, Engineering, and Construction (AEC) initiatives using advanced data technologies and analytics. By leveraging AI and ML, you will be pivotal in providing actionable business insights and robust solutions for AEC professionals and client outcomes. Your focus will be on utilizing advanced analytics, data science, and AI/ML to give the business a competitive edge, including understanding and managing data, architecting & engineering data for self-serve Business Intelligence (BI) and Business Analytics (BA) opportunities. Key Respo...

As a motivated and highly skilled Data Scientist joining the Flight Safety team, your role will be crucial in utilizing advanced analytics and machine learning techniques to drive safety-related decisions and enhance operational processes. You will primarily focus on analyzing time-series and multivariate data to detect anomalies, identify patterns, and create predictive models that contribute to improving flight safety and minimizing risks. - Conduct exploratory data analysis to reveal insights from complex datasets - Apply advanced anomaly detection techniques to spot irregularities and potential safety risks - Develop machine learning and deep learning models like ANN, RNN, and CNN for pr...

Role Overview: At PwC, your role in data and analytics engineering will involve leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will be crucial in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Additionally, as part of the data science and machine learning engineering team, you will focus on using advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision-making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to solve comple...

As an experienced AI/ML Engineer in our company, your role will involve designing and implementing intelligent systems using large language models (LLMs) for observability and operational workflows. You will focus on building AI-driven solutions for anomaly detection, alert triage, and automated root cause analysis in production environments. **Key Responsibilities:** - **LLM Development & Deployment** - Design and deploy large language model solutions using Ollama, AWS Bedrock, or similar platforms - Implement agentic networks and multi-agent systems for complex operational workflows - Develop context-based prompt engineering strategies for production LLM applications - Fine-tune and optimi...

As an experienced AI/ML Engineer, you will be responsible for designing and implementing intelligent systems using large language models (LLMs) for observability and operational workflows. Your role will focus on building AI-driven solutions for anomaly detection, alert triage, and automated root cause analysis in production environments. Key Responsibilities: - LLM Development & Deployment - Design and deploy large language model solutions using Ollama, AWS Bedrock, or similar platforms - Implement agentic networks and multi-agent systems for complex operational workflows - Develop context-based prompt engineering strategies for production LLM applications - Fine-tune and optimize LLMs usin...

As a member of the data and analytics engineering team at PwC, your primary focus will be on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will play a critical role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Key Responsibilities: - Develop predictive models, conduct statistical analysis, and create data visualizations to solve complex business problems. - Organize and maintain proprietary datasets, transforming data into insights and visualizations that drive strategic decisions. - Work closely with cross-functional retail and consumer advisory, tax, and assur...

Role Overview: As an Imagery Analyst, you will play a crucial role in collaborating with end-users to implement imagery analytics tools, process real-world datasets, and translate algorithmic outputs into actionable insights. Your responsibilities will involve executing image processing workflows, conducting training sessions, interpreting algorithm outputs, identifying challenges, and engaging with client stakeholders to shape future product features. Key Responsibilities: - Execute multi-temporal image processing workflows using change-detection applications on client datasets. - Conduct training sessions, develop guides, and demonstrate real-world use cases for customers. - Interpret algo...

Dozen Diamonds is a leading company in the development of the world's first automated stressless fintech solution, the Kosh App. The company aims to empower retail investors with the Stressless Trading Method (STM) to help them build wealth, create consistent cash flow, boost confidence, and recover losses. Dozen Diamonds is dedicated to simplifying financial journeys and providing trustworthy solutions for financial well-being. In this role, you will be responsible for designing, testing, and optimizing quantitative trading models and portfolio strategies focusing on Indian equities and derivatives. The position involves a combination of quantitative research, financial modeling, and system...

As a data and analytics engineer at PwC, you will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Your responsibilities will include: - Developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. - Organizing and maintaining proprietary datasets and transforming data into insights and visualizations that drive strategic decisions for clients and the firm. - Working closely with industry leaders and cross-functional ...

Role Overview: As a Data Science / AI & ML graduate at our company, you will have the exciting opportunity to apply your analytical and programming skills to financial market research and trading automation. Working closely with our core quant and tech teams, you will be responsible for designing, testing, and optimizing AI-based trading strategies. Key Responsibilities: - Research and analyze market data from Indian Stock Markets, Indices, Commodities, and Forex using Python. - Build and test trading models utilizing Machine Learning, Deep Learning, or Quantitative Logic. - Engage in data cleaning, feature extraction, and backtesting frameworks. - Develop dashboards and performance trackers...

As a Quantitative Researcher at Quance Research Capital LLP, you will play a crucial role in designing and implementing high frequency trading strategies. You will have access to market data from various exchanges worldwide and be expected to analyze the data, identify patterns, and explore market inefficiencies to develop algorithms that can capitalize on these opportunities. Your primary responsibilities will include: - Designing high frequency trading strategies based on market data analysis - Conceptualizing, developing, and enhancing mathematical models to translate algorithms into code - Analyzing and testing gigabytes of data daily using Python, R, and C++ to identify micro behavioral...

As a Quantitative Researcher at Quance Research Capital LLP, you will be responsible for developing and testing automated quant trading strategies using sophisticated statistical techniques. Your role will involve designing high frequency trading strategies with access to market data from various exchanges worldwide. You will analyze data, identify patterns, explore market inefficiencies, and create algorithms to capitalize on opportunities that exist for just a fraction of a second. It is crucial that the algorithms you develop are highly efficient to ensure success in the fast-paced trading environment. Key Responsibilities: - Conceptualize, develop, and enhance mathematical models to tran...

As a BA4- QPS Analyst at Barclays, your main focus will be on the development of quantitative portfolio strategies across major asset classes for large global institutional investors. This includes central banks, sovereign wealth funds, asset managers, pension funds, endowments, insurance companies, and hedge funds. The QPS Group's research areas include optimal allocation of portfolio risk budget, diversification requirements, investment style studies, alpha generation, smart beta strategies, benchmark replication and customization, as well as bespoke projects for fixed income investors. Some research findings by the QPS Group have become standard practices in the industry, and they have al...

As a member of the data and analytics engineering team at PwC, your focus will be on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will be instrumental in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Your role in data science and machine learning engineering will involve using advanced analytics and machine learning techniques to extract insights from large datasets and facilitate data-driven decision making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business p...

As a Data Scientist at our company, you will be responsible for translating real-world problems into well-structured mathematical/statistical models. You will design and implement algorithms using linear algebra, optimization, and probability theory. Your role will involve developing predictive and classification models using ML techniques such as regression, trees, neural networks, and clustering. Additionally, you will conduct exploratory data analysis and feature engineering on large datasets. You will use hypothesis testing, inferential statistics, and confidence intervals to validate results and collaborate with product and engineering teams to integrate models into production pipelines...

As a Quantitative Trader at 39k Group, you will be responsible for designing and driving trading strategies that are crucial to the core of the business. You will be at the forefront of markets, quantitative research, and technology, where you will generate ideas, test them in simulations, and implement them with the support of developers and researchers. Your decisions will have a direct impact on the firm's PnL. **Key Responsibilities:** - Generate trading hypotheses across spot, perpetuals, and futures markets. - Develop, backtest, and refine alpha signals and strategy logic using large-scale tick and order book data. - Collaborate with quantitative developers to implement strategies in u...

Job Description: As a member of the data science and machine learning engineering team at PwC, your role will focus on utilizing advanced technologies and techniques to design and develop robust data solutions for clients. Your primary responsibility will be to extract insights from extensive datasets using advanced analytics and machine learning techniques to facilitate data-driven decision-making. You will be instrumental in transforming raw data into actionable insights, fostering business growth, and addressing complex business challenges. Key Responsibilities: - Contribute to identifying cutting-edge healthcare data sources to differentiate the firm and enhance client value. - Design an...

As a Senior Python Quantitative Developer at our product-driven fintech company, you will play a crucial role in designing, developing, and deploying high-performance algorithmic trading solutions. Your expertise in Python and quantitative skills will be put to the test in a fast-paced, data-driven environment. Your responsibilities will span the entire lifecycle of trading algorithms, from research and modeling to production deployment and monitoring. Key Responsibilities: - Research, design, and implement quantitative trading algorithms. - Develop robust simulation environments and performance attribution models. - Build and optimize low-latency execution systems using Python, APIs, and We...

Role Overview: As a Junior Quantitative Analyst (Junior Quant), you will be involved in the development and testing of quantitative models for pricing, trading, or risk management. Your role will include analyzing large datasets using statistical and machine learning techniques to identify patterns or opportunities. You will support senior quants and traders with data-driven insights, simulations, and performance analysis. Furthermore, you will work with tools like Python, R, MATLAB, or similar to build and validate models. Collaboration with IT and development teams to implement models into production environments will also be a key aspect of your responsibilities. Additionally, conducting ...

As a Quantitative Engineer / Analyst at our company, you will play a crucial role in driving the design, implementation, and deployment of systematic trading strategies. You will be responsible for the full lifecycle of strategy development, collaborating with a small, agile team to bring ideas from ideation to live execution and monitoring. **Key Responsibilities:** - **Strategy Development & Research** - Formulate and validate new alpha-generating ideas such as momentum, mean-reversion, statistical arbitrage, and alternative data signals. - Prototype and backtest strategies at scale, analyzing PnL, turnover, risk metrics, and capacity constraints. - **Software Engineering** - Develop high-...

You should have a strong proficiency in Python or MATLAB for data analysis and visualization. Experience with time-series analysis, signal processing, and statistical modeling (Autocorrelation, Moving Averages, Seasonal Decomposition) to identify trends and patterns will be valuable. Knowledge of MEMS sensor technologies and data acquisition systems is required. Hands-on experience with pandas, NumPy, SciPy, scikit-learn, matplotlib for data cleansing and analysis is essential.,

Role Overview: As an Artificial Intelligence/Machine Learning Engineer at CDM Smith, you will collaborate with the Data Technology group to drive strategic Architecture, Engineering, and Construction (AEC) initiatives using advanced data technologies and analytics. By leveraging AI and ML, you will provide actionable business insights and solutions for AEC professionals and client outcomes. Your focus will be on utilizing advanced analytics, data science, and AI/ML to give the business a competitive edge. Key Responsibilities: - Apply state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific AEC use cases. - Analyze l...

Role Overview: You will be joining the Digital Engineering Solutions team at CDM Smith as an Artificial Intelligence/Machine Learning Engineer. In this role, you will work within the Data Technology group to support strategic Architecture, Engineering, and Construction (AEC) initiatives by leveraging cutting-edge data technologies and analytics. Your responsibilities will include contributing to advanced analytics and implementing AI/ML solutions to address complex business challenges within the AEC domain. You will utilize state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific use cases. Your role will involve ana...

As a Senior Manager, Marketing and Web Automation at Zscaler, you will be a key member of the WW Marketing team, reporting to the Senior Director, Marketing Operations. Your primary responsibilities will include: - Designing, developing, and maintaining full-stack web applications using the LAMP stack. This involves building and integrating RESTful APIs. - Developing Python scripts for automation, data processing, and backend tasks, with a focus on scalable solutions. - Managing and optimizing MySQL databases, which includes schema design, indexing, and query tuning. - Collaborating with front-end developers to seamlessly integrate HTML5, CSS3, JavaScript (ES6+), and frameworks like React/An...

Role Overview: At PwC, your role in data and analytics engineering will involve leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In the realm of data science and machine learning engineering, your focus will be on utilizing advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex...