This job was posted by https://www.kansasworks.com : For more
information, please see: https://www.kansasworks.com/jobs/12932138
Location(s):
- Remote - United States, US
At Moody\'s, we unite the brightest minds to turn today\'s risks into
tomorrow\'s opportunities. We do this by striving to create an inclusive
environment where everyone feels welcome to be who they are-with the
freedom to exchange ideas, think innovatively, and listen to each other
and customers in meaningful ways.
If you are excited about this opportunity but do not meet every single
requirement, please apply! You still may be a great fit for this role or
other open roles. We are seeking candidates who model our values: invest
in every relationship, lead with curiosity, champion diverse
perspectives, turn inputs into actions, and uphold trust through
integrity.
The Predictive Analytics group transforms our data into state-of-the-art
analytics to help clients make better decisions in the face of
uncertainty. Our clients come from a wide range of industries such as
banking, insurance, commercial real estate and many more. They use our
economic research to evaluate credit-worthiness, to monitor risks and
opportunities when weighing up major investment decisions as part of
their corporate strategy. Our team is made up of intellectually curious
economists, data scientists, and IT professionals who combine technical
skills with a strong desire to understand clients\' needs.
Role/Group:
As a Data Analyst, you will have the opportunity to contribute to a
team responsible for generating and delivering industry leading risk
metrics to a variety of products offered by Moody\'s Analytics. The Data
Analyst may perform a variety of different data management job
functions, including data analysis, data processing, data operations,
and data support. This position involves a blend of
qualitative/quantitative financial research and technical skills to
source and maintain credit risk data and models. This position is for
you, if you are a quick learner, have a passion for data to identify
trends, uncover patterns, solve problems and your favorite question is
\'why\'.
The Corporate Credit Data group is responsible for managing the critical
processes that ensure the accuracy and timely delivery of vital
financial data that is linked to our industry-standard credit risk
measurement tools and related software applications. This role will
facilitate that process, working with the engineering, IT, support, and
development teams to ensure the timely and seamless delivery of data to
clients.
Responsibilities:
- Support and resolve data quality and delivery issues of complex
credit risk models and complex data pipeline with accuracy and in a
timely manner
- Fulfill data delivery and data requests for existing and prospective
clients accurately and meeting deadlines
- Respond to client data queries in a timely and accurate way
- Engage in problem solving with Customer Success and Client Support
to ensure a resolution to client queries
- Support Data Engineering and Data Quality Team to monitor data
delivery and data pipeline status, communicate and solve issues.
- Support Research, Engineering, Quality, Product Team in data
projects, including testing and specifications.
- Analyze and solve data issues from external data providers,
including exploration of new data sources
- Identify ways to improve data inquiry and delivery processes either
by automation or other means
- Perform data analysis using a variety of methods including
statistics and relational databases
- Perform quality control on data by analyzing patterns and data
discrepancies and resolve related issues
- Produce reports using Business Intelligence tools that describe data
characteristics and highlight trends and issues
- Contribute towards documenta ion of the processes/projects
Qualifications:
- Requires Bachelor\'s degree in Economics, Statistics, Finance,
Accounting, Operations, Engineering or a related field.
- Graduate degree and/or 1-2 years of work experience is a plus.
- Superb analytical skills, persistence in problem solving, excellent
in data mining and code debugging, and ability to learn quickly and
independently
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- Strong organizational skills, attention to detail, and ability to
manage multiple projects with tight deadlines
Excellent and professional written and oral communication skills
Exposure or interest in financial services space
Ability to understand and analyze basic financial statement data, fixed
income data, macro-economic statistics, and credit risk measures
Ability to understand basics from credit risk model research papers and
data specifications.
Efficient in SQL and Database management tools (SQL Server, PostgreSQL,
etc.)
Efficient with a scripting language (Python)
Experience working with AWS (Athena, S3, Glue jobs, etc.)
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