14 дней назад
Analytics Client Service Specialist (Financial Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Client Service Specialist (Financial Analytics): Supporting global investment clients with methodology, analytical, benchmark, and technical inquiries while analyzing market performance and maintaining client relationships with an accent on quantitative finance, risk models, and portfolio construction. Focus on explaining complex methodologies, translating client feedback into product improvements, and solving time-sensitive analytical questions across global financial markets.
Location: Monterrey, Mexico; occasional travel may be required for on-site presentations or trainings.
Company
provides research-based data, analytics, and indexes that help global investors understand risk and opportunity and make better investment decisions.
What you will do
- Answer detailed client questions about analytical and benchmark products, methodologies, usage, interpretation, and technical topics.
- Analyze market performance and data for clients on both reactive and proactive bases.
- Develop and maintain client relationships through proactive follow-up and clear communication.
- Share relevant product and model information with clients and provide feedback to Coverage, Product Management, Research, and Data teams.
- Monitor current events and trends in global financial markets.
Requirements
- 5–7 years of experience in financial services.
- Strong analytical, quantitative, organizational, and problem-solving skills.
- Understanding of financial topics such as Modern Portfolio Theory, equity and portfolio construction, optimization, CAPM, multi-factor risk models, market risk, credit risk, and VaR.
- Deep understanding of international financial institutions and global financial markets.
- Excellent verbal and written communication skills, including the ability to explain complex concepts to senior management and clients.
- Undergraduate degree in finance, economics, statistics, mathematics, or another quantitative field.
Nice to have
- MFE, MBA, or another master’s degree.
- CFA or equivalent qualification.
Culture & Benefits
- Transparent compensation schemes and employee benefits tailored to the work location.
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- Access to global orientation, Learning@, AI Learning Center, LinkedIn Learning Pro, and tailored development opportunities.
- Professional growth through internal mobility, expanded roles, and multidirectional career paths.
- Inclusive global environment supported by employee resource groups.
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