SFI Model Owner - Sovereign models

The model manager is accountable for the execution and well-functioning of SFI models they supervise. In the case of new models for managing end to end their delivery to feeds and desktop on time and on budget.
As model subject matter expert, they are at the intersection with numerous key partners: internal customers such as FTSE Russell, external clients, marketing, quality assurance, model risk governance, research, content operations and engineering to name a few.
The model owner is responsible for steering evolutions and notifying changes to all key partners as well as implementing non-methodological updates to the model.

What You’ll Be Doing:

• Own the product roadmap for our SFI Sovereign data service, translating market needs, regulatory developments, and client feedback into clear product priorities and deliverables.
• Monitor market, policy, and industry trends (e.g., climate regulation, sustainable finance frameworks, macro economic ESG indicators) to identify new opportunities and data expansions.
• Collaborate with model management, technology, research, and commercial teams to define requirements, manage releases, and deliver high quality data outputs and product enhancements.
• Engage with clients and stakeholders to understand workflows, validate product direction, and strengthen the value and usability of the Sovereign data service.
• Develop clear documentation and client facing materials, including methodologies, data dictionaries, release notes, and product updates. 
• Track performance and adoption, using metrics and client insights to inform continuous product improvement and long term strategy. 
• Ensure data integrity and governance, partnering with quality assurance teams to maintain consistency, transparency, and strong methodological foundations
• Making sure we operate in such a way that internal service level agreements are respected, so key teams have the time required to perform their actions and ultimately make sure the models are refreshed in a scheduled cadence. 
• Works with content management to make sure data sources have been refreshed for all live models and ensuring refreshes are done in a timely fashion. Coordinate the validation of the model and model output with Model Validation Team and Research Team. 
• Support the development/upgrades of models with the Research Teams in case of methodological updates and implement non-methodological updates such as schema changes or change of input sources, As the SME, provide content to our marketing teams for external and internal facing collateral. Follow internal standard processes around model risk governance. 
• Notify clients/internal partners of model changes and upcoming changes in input data that they have been notified of.

What You’ll Bring:

• Knowledge of company reference and financial data and related market data.
• Strong experience in Data Analysis, Modelling, Domain Specification/Design/Mapping, Data Transformation including Business Transformation, APIs.
• Deep understanding of how data is sourced, collected, transformed, validated, managed, used, governed, and controlled within a data centric organisation.
• Good working experience with Agile and Scrum, with solid, proven experience of performing business analysis activities in a scalable Agile environment.
• Good knowledge of Python, R or Matlab. Ability to utilise, Python, SQL to query database tables.
• Understanding of quantitative tools and techniques, with the skills to perform quantitative analysis required.
• Understanding/Curiosity about Sustainability Investments.
• Excellent attention to detail with the ability to think logically to solve business problems.
• Excellent written and oral communications as well as interpersonal skills; ability to explain technical detail to business facing customers and business change detail to technical facing partners.
• Collaborative, with intellectual curiosity to independently research topics.
• Solid experience of Microsoft Office (Word, Excel, PowerPoint, Jira, and Confluence).
• Strong soft skills including engagement with many and various stakeholders, and ability to communicate requirements in a clear, accurate, concise, engaging, and thorough manner.
• At least 5 years’ experience.

Career Stage:

Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

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