Top Data & Analytics Jobs

As an Analyst/Associate in the Investment Banking EMEA Consumer & Retail team, you will support client transactions from pitch to close, perform detailed valuation analyses, prepare marketing materials, and coordinate with other teams and professionals. You will also manage projects and contribute innovative solutions to complex business challenges.

The Payments Implementations Analyst will manage the implementation of JPMorgan products by coordinating with clients and internal teams to ensure product requirements are met, leading project meetings, and documenting project statuses. They will need to support clients through production migration, while advocating for client needs throughout the project lifecycle.

The role involves servicing Fixed Income products within the Middle Office team, ensuring trade capture accuracy, managing trade lifecycle and inventory, and addressing client queries. Analysts will collaborate closely with global teams, perform controls on trade processes, and participate in process improvement initiatives.

As an Associate in HR Data Management, you will design and implement access control for data security, ensuring reliable data sets. You will collaborate with various teams, develop scalable access controls using Immuta and Starburst, and communicate solutions to stakeholders while ensuring compliance with regulations.

The Solutions Analyst II will bridge the gap between product owners, business operations, and software developers by documenting business and data flow requirements, extracting insights from data, and collaborating on architecture designs. Excellent communication skills are essential for fostering collaboration and driving project success. The role emphasizes adaptability and continuous improvement in a fast-paced environment.

As a Sr. Machine Learning Engineer, you will leverage large-scale computation and machine learning to enhance customer products. You will oversee dataset analysis, lead model development, manage ML Ops, and communicate complex issues effectively while fostering a collaborative environment for improved user experiences.

As a Machine Learning Engineer, you'll analyze complex datasets, develop models and algorithms, manage ML Ops, and enhance customer products. You'll communicate insights to senior management, supervise data analysis, and promote effective cross-functional collaboration within the team.