Top Data & Analytics Jobs
As a Vice President, Applied Artificial Intelligence & Machine Learning Lead in Markets Operations at J.P. Morgan, you will develop cutting-edge AI solutions, collaborate with cross-functional teams, evaluate model performance, deepen business understanding, mentor team members, and create production-grade code.
Design and implement end-to-end data models for finance functions, optimize data pipelines, and collaborate with various teams to deliver data models.
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.
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The Machine Learning Center of Excellence is seeking an NLP / LLM Scientist - Applied AI ML Lead to apply sophisticated machine learning methods in natural language processing, speech analytics, time series, and recommendation systems. Responsibilities include research, development of ML models, collaboration with partner teams, and driving firm-wide initiatives. Required qualifications include a solid background in NLP, a PhD in a quantitative discipline, extensive experience with ML and DL toolkits, and the ability to design experiments and training frameworks. Preferred qualifications include a strong background in Mathematics and Statistics, experience with search/ranking, Reinforcement Learning, and A/B experimentation.
The Shared Services Data Analytics & Tools Manager will lead a team focusing on delivering innovative analytics solutions for Payments, guiding projects, and ensuring best practices in data architecture and process improvements. Responsibilities include developing data visualizations, enhancing reporting capabilities, coaching team members, and facilitating cross-functional engagement to drive strategic data-driven decisions.
Involved in applying sophisticated machine learning methods like natural language processing, speech analytics, time series, reinforcement learning, and recommendation systems. Collaborating with various teams to deploy solutions into production and driving firm-wide initiatives by developing large-scale frameworks for the application of machine learning models.
Lead Data Analyst Senior Associate in Operations responsible for collecting, processing, analyzing large datasets, turning data into insights to drive business decisions, and automating data readiness. Must have experience in mining large datasets, exceptional analytical abilities, strong Alteryx and Tableau skills, and good communication skills.
Lead the data transformation strategy and manage complex data projects within Investment Banking businesses. Drive data quality and automation, mentor and develop a team of data analysts and professionals, and maintain strong stakeholder relationships. Strong technical expertise in SQL, data modeling, and data processing tools like Alteryx and Tableau required.
Responsible for defining and articulating the Chief Data Office vision and strategy, executing strategic initiatives, and leading critical projects to enable AI-ready data and manage data risk effectively.
Lead strategic change initiatives, gather and prioritize requirements, support business case development, communicate roadmap to stakeholders, provide governance, identify risks, maintain program reporting, coach team members
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