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 in Customer Success Solutions 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.

The Associate AI & Data Specialist will support customer solutions initiatives and assist in providing guidance to platform clients on utilizing tools and capabilities to meet their business plans for the future, creating and maintaining compelling high-quality documentation and presentation content. Seeking for highly motivated specialist with foundational knowledge in AI/ML technologies, a keen interest in customer engagement, and the ability to work collaboratively within cross-functional teams to improve excellent customer experiences and seamless platform onboarding and adoption.

Job responsibilities

Supports the strategic definition and configuration of optimal solutions that address clients’ needs and plans for 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. Lead technical discussions with customers, vendor partners, and colleagues from various departments such as Technology, Quant Research & Product Development  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 that will be used by data science practitioners as well as decision makers.  Provide feedback to product, quant, 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

3+ 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 or Ph.D. 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