Quant Customer Success Engineer

As a Customer Success Engineer, you will need to have an understanding of the problems facing financial investment analysts today. You are intelligent, personable, and can adapt easily to a fast paced, small team working environment - and you like to have fun. You have the project management experience necessary to quickly get a client up to speed on a new product, drive client adoption and navigate client workflows. You are comfortable with financial technology, and are able to be the liaison between the client and the Elsen engineering team. You can converse in the language of finance and understand the the basics of financial models. You understand the value of product usage data and client communications to drive continuous improvements in client engagements and within the product. You understand what it takes to file a useful bug report and aren’t scared to occasionally review code to find the answers you’re looking for.

Responsibilities:

• Develop subject-matter expertise in the Elsen nPlatform and core applications including the ability to demo the platform 

• Provide real-time support to analysts, researchers, and quants at the world's largest and most prominent investment firms, banks and hedge funds by assisting them in financial investment model development and debugging using Elsen nPlatform

• Analyze product and client usage, define key usage metric dashboards and drive positive results against the defined metrics.

• Define and prioritize product and integration requirements based upon client engagements

• Develop the Customer Success knowledge base and other tools to make our clients more successful

• Work with clients to enhance their knowledge of the Elsen nPlaform applications

• Meet or exceed monthly product usage and customer retention goals

Qualifications:

• BA/BS or MBA in Engineering/CS, Sciences, Mathematics, or Business

• Experience in quantitative analytics / equity research / equity or credit risk or financial modeling

• Experience with equity markets, financial data and have a good understanding of financial markets

• Knowledge of, and experience with, financial investment analytical tools and databases, e.g., FactSet, Bloomberg etc

• Proven success in cultivating and maintaining a sustained relationship with technical clients

• Experience with SaaS software business models

• Ability to collaborate and communicate with technical and non-technical personnel

• Entrepreneurial spirit, strong sense of urgency, and excellent problem solving skills

• Excellent written and oral communication and presentation skills; a willingness to learn

• Self-motivated and comfortable with product technical aspects

• Ability to travel up to 15% of time

Potential Candidates:

• Financial Investment Researchers looking to shift into a Software Development company

• Financial Data Support Engineers looking to move up the stack into Financial Modeling SW development

• Data Analytics/Scientists/Engineers looking to join a Big Data startup focused on the Financial vertical marketplace

• Customer Success Engineers with financial backgrounds looking to join an exciting startup