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Content Analyst

Hybrid in Madrid·Full-time·Added 19 days ago

Infront Financial Technology

12 open roles

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Overview

Job details

Full-time hours
Per the ad.
Hybrid
Office and home days — the ad has the split.

Requirements

Have the right to work in Spain
Infront Financial Technology doesn't mention sponsorship in the ad.
Work in English
English is required, per the ad.
Be near Madrid for hybrid days
No relocation package mentioned.
Have 2+ years of experience
Junior-level role.

Requirements

What we're looking for

What you'll bring At least 2 years of relevant experience working with data, preferably financial data. An understanding of financial-data concepts or a willingness to quickly build that knowledge. Technical affinity and comfort working with data-related tools and technology. Some experience with Python, MATLAB, R, VBA or Excel is preferred; low-code experimentation is also valuable. Interest in using AI-driven approaches in data work. The ability to get up to speed quickly and translate business questions into data analysis. Familiarity with areas such as bond reference data, regulatory data delivery, EDGAR, DTCC or XML schemas would be useful. Our offer Health & wellness: Benefit from wellbeing initiatives tailored to local needs, including access to an employee assistance programme that provides confidential support to employees and their families. Holiday: Enjoy competitive holiday entitlement aligned with local markets, so you can rest and recharge. Remote work: Enjoy the opportunity to work one day a week from home, with flexible working hours where possible. You may also request to work up to four weeks per year from a different location. Learning & development: Support your career progression with access to learning resources, ongoing conversations with your manager, and opportunities to share the knowledge you gain with your team. Culture & impact: Be part of an international team with a startup mindset and play a key role in making a meaningful impact. Our offices: Work from Europe's leading financial centres and be at the heart of where finance happens. Additional notes All candidates selected for employment are subject to Pre-Employment Screening. This process includes professional reference and background checks conducted by our third-party partner, ZINC. These screenings are part of our commitment to ensuring a secure, compliant, and trustworthy workplace. We kindly ask that you submit your CV in English.

Languages

English : 3- Business fluent

The role

We are seeking a Content Analyst to join our Madrid Office and to build an analytical layer for financial data. You will help us understand the sourcing, structure, quality, licensing and economics of the data we use, turning that analysis into better content decisions and support for business needs. This is an analytical role, distinct from content administration. You will work with business analysts and respond to internal data needs, including requests from Sales for new data or for data that may already exist in our databases. Responsibilities Identify and evaluate relevant public data sources and define how they can be integrated into the data intake, e.g. XBRL/EDGAR, DTCC/Dodd-Frank data and regulatory, instrument and company documents such as prospectuses, term sheets, factsheets and annual/interim reports. Analyse vendor coverage, quality, licensing and cost; optimise the overall data-provider setup. Analyse potential partnerships in the content area: Clarity, S&P, Nordea, Stockpulse Maintain deep expertise in financial instruments, financial data models and canonical data schemas. Identify and analyse internal data-quality, coverage and consistency problems. Define data-quality rules, validation logic and enrichment requirements. Identify strategic data gaps and recommend build / source publicly / partner / buy decisions. Own the Data Catalogue, including definitions, lineage, sources, coverage, quality and availability. Work closely with Business Analysts on translating market and client requirements into concrete data requirements.