Product Solutions Associate - AI & Data Specialist

J.P. Morgan; London; On-site; GBP 60,000 - 85,000; Full time

Job summary

A leading global financial services firm in London seeks a Senior Product Solutions Associate to develop innovative solutions in data analytics for impactful client collaboration. The role requires a strong background in data science, programming, and effective communication skills to engage with clients. Candidates should have 2+ years of relevant experience and a passion for continuous learning.

Qualifications

• 2+ years of experience in problem-solving on a team with product expertise.
• Experience in producing sales decks and pricing proposals.
• Understanding statistical models like regression and neural networks.

Responsibilities

• Support strategic definition and configuration of solutions.
• Engage with clients to implement integrated data solutions.
• Deliver presentations with technical skills for internal trainings.

Skills

Problem-solving

Statistical analysis

Data Science

Programming

Communication

Education

Master's degree in a quantitative discipline

Tools

Microsoft Word

Microsoft Excel

Microsoft PowerPoint

Python

R

Job description

Make your mark in an innovative product through impactful client collaboration and crafting exceptional solutions that cater to clients' needs.

As a Senior Product Solutions Associate inThe Chief Data and Analytics Office Product and Platform team, you are a significant contributor to a team that defines and configures complex product solutions for key client relationships and prospect opportunities. You draw from research and client feedback to develop unique product solutions in partnership with Sales and coordinate with product teams to support new product development.You will engage with JPMorgan Chase’s clients across Line of Businesses and Corporate Functions to help them use the Firm-wide Chief Data and Analytics Office Product and Platform solutions across Data, AI, Governance and Analytics. You will build expertise in Chief Data and Analytics Office Platform capabilities, create and maintain high-quality user documentation and training materials and guide clients in leveraging tools and capabilities to enable their data and analytics plans for the future. We are seeking a highly motivated specialist with a good foundational knowledge in Data and AI/ML technologies.

The Chief Data and Analytics Office Product and Platform team is responsible for designing and delivering governance, discovery, access, and data and AI services, empowering JPMorgan Chase teams to accelerate their data and analytics journeys and maximize commercial outcomes. The Chief Data and Analytics Office Product and Platform Client Engagement Team is responsible for account management, solutions, implementation and client service to JPMorgan Chase Lines of Business and Corporate Functions. You will have a keen interest in customer engagement and possess the ability to work collaboratively within cross-functional teams, you are a significant contributor to a team that defines and configures complex product solutions for key client relationships and prospect opportunities. You draw from research and client feedback to develop unique product solutions in partnership with Sales and coordinate with product teams to support new product development.

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