Top Data & Analytics Jobs in London,
Design and implement end-to-end data models for finance functions, optimize data pipelines, and collaborate with various teams to deliver data models.
As a Threat Management Analyst at JP Morgan, you will provide program support for Global Security partners, develop best practice documents, conduct threat assessments, and maintain case metrics. You will need previous experience in threat management or related roles, excellent communication skills, computer literacy, and the ability to handle sensitive information.
As a Quantitative Research Analyst or Associate in Rates Options team, you will work on developing statistical arbitrage strategies, quantitative trading models, and mathematical models for financial transactions.
Featured Jobs
Apply sophisticated machine learning methods to banking applications including risk assessment, trading models, customer relationship management, and pricing models. Collaborate with various lines of business within JP Morgan to develop scalable tools leveraging machine learning and deep learning models for real-world problems in finance, economics, and operations. Lead projects in developing production-level machine learning applications.
Lead the execution of AI solutions in Securities Services Operations, construct robust and scalable AI functionalities, work with software engineering teams, collaborate with business domain experts, refine machine learning models, stay updated with AI trends, offer technical mentorship, and disseminate best practices.
As an Applied AI / ML Senior Associate Machine Learning Engineer at JPMorgan Corporate Investment Bank, you will be involved in cutting-edge AI techniques, optimizing business decisions, automating processes, and advancing AI applications in financial services through NLP, Computer Vision, and statistical machine learning. Responsibilities include building Data Science capabilities, deploying ML services, researching and analyzing data, and collaborating with technical teams. Required qualifications include hands-on ML engineering experience, a PhD in a quantitative discipline, expertise in MLOps tooling, NLP or Computer Vision specialization, and proficiency in Python, PyTorch, Numpy, Pandas, and deep learning architectures.
Join the Corporate & Investment Bank as a Pricing Direct Evaluator - Analyst, responsible for valuing fixed income securities and utilizing statistical and machine-learning models. Work on market intelligence and client queries, collaborate with teams, and drive product growth. Preferred qualifications include market experience and communication skills. Company focuses on providing financial services to corporations, governments, and institutional investors.
As a Senior Lead Data Engineer at Chase UK, you will be responsible for delivering cutting-edge solutions using cloud-native microservices architecture and the latest technologies. You will work on AWS cloud, S3, AWS Glue catalog, and Snowflake tech teams to publish data and support strategic business objectives through data analytics. Your role involves collaborating with key partners, documenting data requirements, and ensuring data quality and integrity within the product.
Lead data engineering teams to achieve functional technology objectives, make strategic decisions, deliver data pipeline and architecture solutions, influence stakeholders, and champion diversity and inclusion.
As an Analyst in the EMEA Equities - Equity Capital Markets Syndicate team at J.P. Morgan, responsibilities include managing investor marketing activities, coordinating with internal and external stakeholders, assisting in origination of ECM transactions, and providing regular market updates. Strong academic qualifications and interest in equity markets are required. This role involves UK regulated activities.
Top Companies in London, Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
