Engagement Strategist- Desktop Data Implementation

Job Description Moody's Analytics is seeking an experienced account manager with a highly technical skillset to help lead client engagements for the Moody's Analytics Add-in for Excel and Moody's DataHub which are designed for use by risk analysts and data scientists. These offerings provide access to Moody's extensive credit data sets, along with comprehensive tools to support analysis and modeling of data.

The successful candidate will be comfortable developing relationships with key decision makers and managing a large book of accounts to drive the installation and adoption of Moody's offerings. The candidate will work on the implementations of Moody's technical data solutions with data science, quantitative and IT teams. A familiarity with Moody's role within the capital markets, financial statement analysis, and strong financial modeling and programming skills are essential.

The Engagement Manager role presents a unique opportunity to be involved with a large number of teams within Moody's Analytics (MA). The engagement team sits within product strategy at MA, but also requires consistent interactions with sales teams, product developers, and other internal stakeholders. Engagement managers will gain a broad understanding of different teams within MA and leverage that knowledge to inform about product feedback and build strong relationships between MA and its customers.

Key Responsibilities:

• Manage the needs of a large book of accounts for a designated territory in the Asia Pacific region; includes managing all activities from software installation, demos and training to custom project work and solutions
• Conduct product and training sessions for new and existing customers
• Support creation of custom models using Moody's data and tools including Excel Add-in, Jupyter, Anaconda, Hive, and other data science tools.
• Uncover opportunities to increase usage of MA's solutions by data science, quantitative and IT teams
• Consult clients on the MA technical data solutions that fit their data needs to support sales team revenue generating efforts
• Liaise customer feedback back to product strategy to develop the next gen data delivery suite
• Construct numerical models, author case studies to demonstrate the capabilities of Moody's data technology solutions. Coordinate with MA's quantitative modeling team to develop case studies to assist customers in learning and utilizing Moody's solutions

Qualifications

• Undergraduate degree in finance, accounting, economics, or other financial services-related discipline
• 3 to 5 years of account management experience in financial services, preferably at a major market data provider, bank, or consulting firm
• Entrepreneurial mindset with a strong focus on the customer and getting results
• Strong communication skills (both verbal and written) and presentation skills
• Strong interest in fixed income, credit ratings and fundamental credit analysis; CFA candidate or other financial services certification preferred
• Advanced Excel skills (VBA a plus); Experience with Excel Add Ins and market data preferred
• Understanding of use cases and experience with current data science tools; specifically R using R Studio and/or Python using Jupyter notebooks
• Demonstrated experience with structured query language (SQL) intermediate to advanced concepts
• Fluency in Japanese a big plus.
• This role requires travel; up to 25% of the time.

Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.