San Francisco, CA
Industry: Accounting, Finance & Insurance•
Less than 5 years
Posted 116 days ago
Within Moody's Analytics, the Enterprise Risk Solutions (ERS) Division offers to Institutions a wide range of software, analytics and consultative solutions to help risk management staff understand, measure, and manage risk within an enterprise risk context. The ERS Division is composed of experienced consultants working with and drawing on the insight and expertise of our world-class analytics technology, data, software as well as market experience. The ERS Data Intelligence Group creates value-added information, IP and content that are used by our clients to meet their business needs and to produce actionable data-driven intelligence. Our team consists of experts at interpreting financial information, developing data-driven analytics, and applying data to our customer’s business needs.
The DI Group has a requirement for an individual to lead the Data Technology and Engineering Group. This team designs and develops ERS’ data platform using technologies consistent with overall cloud technology stack that will provide automation, scalability, consistency, and cost efficiency for ERS data processes. They also lead the Data Alliance Portal product strategy and development, API development and advocacy, and cloud strategy. The ideal candidates must have previous experience in engineering, data management and process re-engineering within the financial industry or financial information providers. The successful candidate will join the ERS DI Group, a growing team within the MA organization that provides excellent career opportunities and benefits. Some travel may be required.
Roles & Responsibilities
Moody’s Analytics (MA) is the leading risk management consulting company and combines deep industry expertise with unique enterprise risk management software and analytics. The company provides software, services and financial information to banks, insurance companies, non-financial corporations, and institutional investors in over 80 countries. Skills and Experience
Engineering degree, MSc or BSC on Computer Sciences or similar