Content Researcher

Morningstar; Madrid; Híbrido; EUR 47.000 - 66.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Global collaboration

Benefits package

Descripción de la vacante

Morningstar seeks a self-motivated Associate Data Content Researcher to join the Managed Investment Data team in Madrid. You will work with Data Strategy, Tech and Global MID operations to implement new data, data changes, business rule enhancement and interface enhancements to drive operation excellence.

You will be a key contributor to design new data collection process flow and user interface, build creative tool and provide insight for data enhancement and you would also play a key role as

Formación

• 3-6 years in business/data analysis, preferably within capital markets, wealth management, or asset management domains.
• A bachelor’s degree in finance, economics, or business with an exceptional academic record.
• Strong quantitative and business analysis skills.
• Excellent English verbal/presentation/written communication skills.
• Highly interest in data and analytics.
• Profound understanding of Fund data.
• Data, system, process and backend logic.
• Self-motivated, detail-oriented, and organized.
• Understanding of Database Structure and Design.
• Experience with SQL. Basic programming, Python and database skills is preferred.
• Experience with AI tools is a plus.
• CFA/NISM/FRM/NCFM certifications or progress towards those preferred.

Responsabilidades

• Review and interpret business requirements to propose actionable data and process solutions.
• Design new data flow and user interface, build back-end logic to ensure data accuracy.
• Provide solution and consultation for data processing improvement from overall data perspective.
• Provide proper proposal for data quality control backend logic to drive data accuracy improvement.
• Interpret data methodologies into usable technology language through detailed written specifications.
• Conduct feasibility analysis and impact analysis to evaluate data solution / methodology feasibility and impact.
• Communicate with stakeholders on the potential impacts or risks of the proposal, and make the risk mitigation plan.
• Coordinates with relevant teams to ensure proper implementation and documentation.
• Maintain database backend knowledge and build readable documentation.

Conocimientos

Data analysis

Quantitative analysis

SQL

Python

AI tools

Fund data

English communication

Educación

Bachelor's degree in finance/economics/business

Herramientas

SQL

Python

AI tools

Descripción del empleo

About Morningstar

Morningstar is a leading global provider of independent investment insights, serving both individual and institutional investors across public and private markets. Our offerings include a wide range of data, research, and investment management services, with $300+ billion in assets under management. Operating in 32 countries, Morningstar supports financial advisors, asset managers, retirement plan providers, and more with comprehensive investment solutions.

The Role

Morningstar seeks a self-motivated (Associate) Data Content Researcher to join Managed Investment Data team. In this role, you will work with Data Strategy team, Tech team and Global MID operations team to implement new data, data changes, business rule enhancement and interface enhancements to drive operation excellence. You will be a key contributor to design new data collection process flow and user interface, build creative tool and provide insight for data enhancement and you would also play a key role as the data escalation point. Your exposure to global teams will allow you to have a solid foundation for your career. This position is based in Madrid office.

Responsibilities

• Review and interpret business requirements to propose actionable data and process solutions
• Design new data flow and user interface, build back-end logic to ensure data accuracy.
• Provide solution and consultation for data processing improvement from overall data perspective.
• Provide proper proposal for data quality control backend logic to drive data accuracy improvement.
• Interpret data methodologies into usable technology language through detailed written specifications
• Conduct feasibility analysis and impact analysis to evaluate data solution / methodology feasibility and impact
• Communicate with stakeholders on the potential impacts or risks of the proposal, and make the risk mitigation plan
• Coordinates with relevant teams to ensure proper implementation and documentation
• Maintain database backend knowledge and build readable documentation.

Requirements

• 3-6 years in business/data analysis, preferably within capital markets, wealth management, or asset management domains.
• A bachelor’s degree in finance, economics, or business with an exceptional academic record.
• Strong quantitative and business analysis skills
• Excellent English verbal/presentation/written communication skills
• Highly interest in data and analytics
• Profound understanding of Fund data
• Data, system, process and backend logic
• Self-motivated, detail-oriented, and organized
• Understanding of Database Structure and Design
• Experience with SQL. Basic programming, Python and database skills is preferred
• Experience with AI tools is a plus
• CFA/NISM/FRM/NCFM certifications or progress towards those preferred.

Base Salary Compensation Range

EUR 47.000,00-65.666,66

Bonus Target

12,5% Annual

We expect the compensation and target bonus for this role to fall within the stated range. The specific compensation offered will depend on the candidate’s qualifications, experience, and other job-related factors.

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

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