Associate Director, Fixed Income Data Indexes

The Group:

Morningstar Indexes is one of the fastest growing business units at Morningstar. The team provides indexing solutions to measure and benchmark markets and asset classes around the world and offers a broad suite of global equity, bond, and multi-asset indexes. Morningstar Indexes are designed to help investors at every stage of the investment process - market monitoring, benchmarking, asset allocation, and portfolio construction. Product providers use the Morningstar strategic beta indexes, which are based on proprietary research, to create investment solutions to meet investor goals. In addition, Global asset managers use Morningstar`s beta indexes, which represent different segments of the financialmarkets, to both benchmark and create investment products.

The Role:

This is an exciting opportunity for an energetic and team-oriented individual looking to join a fast-growing business. The role of the Associate Director, Fixed Income Data, is to support the strategy, development, and maintenance of fixed income data sets required to support the fixed income business with significant focus on the leveraged loan asset class.

Reporting to the Head of Operations, and also working directly with the Director of Product Management for Fixed Income, you will support a variety of data strategy, development, and maintenance activities including development of a security reference master, integration and management of historical and new data sets and data points into fixed income methodologies, directing and providing oversight in data management and QA functions, and supporting the development of ESG applications to fixed income data sets. As part of this role, you will join a Global team and will work with colleagues based in the US, Europe, Asia and Australia. This role can be located in either Chicago or New York.

Key responsibilities:

• Work with the Global Head of Operations and Director of Fixed Income Indexes to develop, lead and implement a fixed income data strategy - including historical data integration and management and integration of new data sets for adjacent asset classes and ESG.

• Design a roadmap to continuously improve our fixed income input data offering, quality, processes, systems, tools and methodologies.

• Manage and supervise a small team of 2 content researchers and data analyst supporting fixed income data strategy.

• Own fixed income data quality and integrity, be the point of contact on all data related issues for the asset class. Input data include security reference, rates, etc.

• Work closely with the New Product Development (NPD), Index Management and Analytics (IMA), and Client Service & Implementation (CSI), and Operations teams to manage data sets, specifications, data methodologies, and make data sets readily accessible for research and index creation.

• Own and maintain the logical data model and inventory of all input data sets required to power the fixed income index business.

• Identify, measure and report on key data operating and quality (accuracy, completeness and timeliness) metrics, and utilize the data to initiate data assurance programs and drive continuous data quality and process improvement.

• Communicate effectively and efficiently with your team and other stakeholders to provide updates on team progress, address roadblocks and celebrate wins.

• Lead and participate in relevant governance and operational committees.

• Participate in various company initiatives and projects as requested.

Preferred Requirements:

• A minimum of 10 years' work experience in fixed income data sets and/or fixed income index operations.

• A bachelor's degree in business management, finance, or economics is preferred.

• Strong analytical capabilities.

• Excellent teamwork, client-focus and commercial mindset.

• Ability to collaborate, communicate and influence to build significant internal partnerships.

• Able to thrive in a fast-paced global work environment.

• Harbor a genuine belief in Morningstar`s core values.

• For internal candidates, knowledge of PitchBook and Sustainalytics data sets is preferred.