📌 Core Information
🔹 Job Title: Content Analyst
🔹 Company: LSEG
🔹 Location: Mexico City, Mexico
🔹 Job Type: Full-Time
🔹 Category: Financial Services
🔹 Date Posted: July 8, 2025
🔹 Experience Level: Entry to Mid-Level
🔹 Remote Status: On-site
🚀 Job Overview
Key aspects of this role include:
- Maintaining database administration and sourcing financial market data
- Supporting relationships with local exchanges and ensuring accurate and timely data delivery
- Working primarily with Stock Exchanges in the LATAM region
- Collaborating with clients, technical and data projects, and data quality metrics
ASSUMPTION: This role requires a strong understanding of financial markets and data management, with a focus on the LATAM region. Proficiency in Python is essential for process automation.
📋 Key Responsibilities
✅ Maintain database administration and source financial market data, including IPOs, rollovers, additions, and deletions of stocks
✅ Support contributor relationships between LSEG and local exchanges, data suppliers, or other relevant parties
✅ Ensure relevant data is maintained and delivered accurately and timely
✅ Work with clients to address their concerns and issues, and collaborate on technical and data projects
✅ Monitor and improve data quality and metrics, and communicate with internal and external departments
ASSUMPTION: This role involves a mix of data management, client interaction, and project work. Strong organizational skills and attention to detail are crucial for success.
🎯 Required Qualifications
Education: Bachelor's degree in Economics, Finance, Business Administration, or a related field
Experience: Entry to mid-level experience in a related field
Required Skills:
- General knowledge of financial markets
- Basic understanding of developer, project manager, and quality manager roles
- Proficient in Python for process automation
- Good communication skills
- Willingness to learn, detail-oriented, proactive, and able to work well with others
Preferred Skills:
- Fluency in Spanish
- Experience with financial market data management
ASSUMPTION: While not explicitly stated, having experience in financial market data management or a related field would be beneficial for this role.
💰 Compensation & Benefits
Salary Range: MXN 60,000 - 100,000 per month (Estimated based on market research for entry to mid-level roles in Mexico City)
Benefits:
- Healthcare
- Retirement planning
- Paid volunteering days
- Wellbeing initiatives
Working Hours: Full-time, Monday to Friday, with flexibility for project needs
ASSUMPTION: The salary range is estimated based on market research for entry to mid-level roles in Mexico City. Actual compensation may vary based on experience and performance.
📌 Applicant Insights
🔍 Company Context
Industry: Financial Services, with a focus on capital markets, post-trade services, information services, and technology services
Company Size: 10,001+ employees, providing a large and diverse work environment
Founded: 1698, with a rich history and established reputation in the financial industry
Company Description:
- LSEG is a leading global financial markets infrastructure and data provider
- Drives financial stability, empowers economies, and enables customers to create sustainable growth
- Operates with integrity, partnership, excellence, and a commitment to change
Company Specialties:
- Capital Markets
- Post-Trade Services
- Information Services
- Technology Services
Company Website: www.lseg.com
ASSUMPTION: LSEG's extensive history and global presence provide a stable and reputable work environment, with opportunities for growth and development.
📊 Role Analysis
Career Level: Entry to Mid-Level, with opportunities for growth and advancement within the organization
Reporting Structure: This role may report to a Team Lead or Manager within the Data Management or Financial Markets team
Work Arrangement: On-site, with a focus on collaboration and teamwork in the office environment
Growth Opportunities:
- Expanding knowledge of financial markets and data management
- Developing skills in project management and stakeholder communication
- Potential for career progression within LSEG's global organization
ASSUMPTION: This role offers opportunities for professional growth and development, with a focus on building expertise in financial market data management.
🌍 Location & Work Environment
Office Type: Modern, collaborative office space in Mexico City
Office Location(s): 10 Paternoster Square, London, England EC4M 7DX, GB
Geographic Context:
- Mexico City is a vibrant, multicultural metropolis with a rich history and diverse cultural scene
- The office is located in a central business district, with easy access to public transportation and amenities
- The city offers a mix of urban and natural environments, with numerous parks, museums, and entertainment options
Work Schedule: Full-time, with flexibility for project needs and potential overtime during peak periods
ASSUMPTION: The work environment is dynamic and collaborative, with opportunities for professional growth and development in a global organization.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screening
- On-site or virtual interview with the hiring manager and/or team members
- Background check and offer extension
Key Assessment Areas:
- Technical skills in data management and Python
- Understanding of financial markets and relevant data sources
- Communication and interpersonal skills
- Problem-solving and analytical abilities
Application Tips:
- Highlight relevant experience and skills in data management and financial markets
- Tailor your resume and cover letter to emphasize your fit for this role
- Prepare for behavioral and technical interview questions related to data management and financial markets
ATS Keywords: Financial Markets, Data Management, Python, LATAM, Stock Exchanges, IPOs, Rollovers, Additions, Deletions, Client Support, Project Management, Data Quality
ASSUMPTION: The application process is competitive, and demonstrating relevant skills and experience will be crucial for success.
🛠️ Tools & Technologies
- Python
- Financial market data platforms (e.g., Bloomberg, Reuters, FactSet)
- Database management systems (e.g., SQL, NoSQL)
- Project management tools (e.g., Asana, Trello, Jira)
ASSUMPTION: Proficiency in Python and relevant financial market data platforms is essential for success in this role.
👔 Cultural Fit Considerations
Company Values:
- Integrity
- Partnership
- Excellence
- Change
Work Style:
- Collaborative and team-oriented
- Focused on driving financial stability and empowering economies
- Committed to sustainability and inclusive economic opportunity
Self-Assessment Questions:
- Do you align with LSEG's core values of integrity, partnership, excellence, and change?
- Are you comfortable working in a collaborative, team-oriented environment?
- Do you have a strong work ethic and commitment to driving financial stability and empowering economies?
ASSUMPTION: Demonstrating a strong fit with LSEG's core values and work style will be crucial for success in this role.
⚠️ Potential Challenges
- Managing multiple data sources and ensuring accurate and timely delivery
- Collaborating with diverse stakeholders, including local exchanges and internal teams
- Adapting to changing market conditions and data requirements
- Working in a fast-paced, dynamic environment with tight deadlines
ASSUMPTION: This role requires strong organizational skills, attention to detail, and the ability to thrive in a fast-paced, dynamic environment.
📈 Similar Roles Comparison
- Content Analyst vs. Data Analyst: Both roles involve data management and analysis, but the Content Analyst role focuses more on financial market data and less on statistical analysis
- Industry-specific context: This role is specific to the financial services industry and requires a strong understanding of financial markets and relevant data sources
- Career path comparison: This role offers opportunities for growth and development within LSEG's global organization, with potential for career progression in data management or related fields
ASSUMPTION: Understanding the differences between similar roles and the industry-specific context will help applicants tailor their applications and prepare for interviews.
📝 Sample Projects
- Managing IPO data for a major LATAM Stock Exchange
- Implementing a process automation tool using Python to improve data accuracy and efficiency
- Collaborating with a local exchange to address data discrepancies and improve data quality
ASSUMPTION: Familiarizing oneself with sample projects relevant to this role will help applicants prepare for interviews and demonstrate their understanding of the position's requirements.
❓ Key Questions to Ask During Interview
- What are the most pressing data management challenges facing the team currently?
- How does this role support LSEG's mission to drive financial stability and empower economies?
- What opportunities are there for professional growth and development within the team and the organization?
- How does the team collaborate and communicate with local exchanges and other stakeholders?
- What are the most important priorities for this role in the first 90 days?
ASSUMPTION: Asking thoughtful, relevant questions during the interview demonstrates interest in the role and engagement with the hiring process.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant experience and skills in data management and financial markets
- Prepare for behavioral and technical interview questions related to data management and financial markets
- Follow up with the hiring manager within one week of submitting your application to express your interest in the role
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
