JPMorgan Product Solutions Associate - AI & Data Specialist 

United Kingdom, England, London 

215302137

Job responsibilities

• Supports the strategic definition and configuration of optimal solutions that address clients’ needs and plans of the future through collaboration with our clients and other internal teams such as Sales and Product
• Contributes to the construction of pricing proposals and value analysis reports to demonstrate product benefits to clients.
• Delivers compelling oral and written presentations with associated technical skills in building sales decks and training collateral.
• Establishes forums to coordinate across the Product Solutions team to enable a configuration of solutions.
• Coordinate across the Product, Engineering and Architecture teams to develop integrated solutions,
• Engages with internal clients to support implementation of integrated solutions that address clients’ data and AI activities.
• Effectively communicate advanced statistical and technical concepts to various audiences, be an expert demonstrating advanced data science workflows and technologies for financial markets use cases.
• Confidently make recommendations regarding data science and big data workflows to customers and partners
• Develop examples, applications and tools including tutorials, reference implementations, SDKs and presentations for internal clients.
• Provide feedback to product, and engineering teams to help shape product development and strategy.
• Balance multiple tasks, client engagements and continuous learning to keep up with academic trends.

Required qualifications, capabilities, and skills

• 2+ years of experience or equivalent expertise in problem-solving on a team within a cluster of products
• Experience supporting the sales cycle by producing sales decks, training collateral, pricing proposals, and value analysis reports.
• Demonstrated prior experience working in a highly matrixed and complex organization.
• Proficiency in Microsoft Word, Excel, and PowerPoint
• Understanding of a wide range of statistical models (for example regression, tree-based methods, artificial neural networks)
• Good programming skills in at least one of the commonly used languages for data analysis (for example Python, R, MATLAB, Scala).
• Experience with applying data science/quantitative modeling to real world, financial use cases.
• Knowledge of open-source data analysis tools and machine learning libraries
• Experience in creating technical documentation and presentations and the ability to present to a technical and non-technical audience.
• Comfortable in a fast-moving environment with often loosely defined tasks where interaction with senior management is required.
• Passion and motivation for constant learning

Preferred qualifications, capabilities, and skills

• Master's degree in a quantitative discipline
• Knowledge of cloud data science and machine learning services
• Experience with tools for large scale and distributed data analysis (for example Spark)
• Understanding of capital markets, corporate finance, banking and/or asset management