обновлено 6 дней назад
Analytics Client Service Associate (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Client Service Associate (AI): Providing advanced client support for MSCI analytics and benchmark products, with an accent on quantitative risk methodology, market analysis, and end-to-end case management. Focus on resolving complex L2 inquiries, mentoring junior colleagues, and designing AI-assisted solutions that improve service efficiency and client-facing accuracy.
Location: Monterrey, Mexico; the role is also associated with Mexico City.
Company
provides research-based data, analytics, and indexes that help global financial institutions understand investment risks and opportunities.
What you will do
- Answer detailed client questions about products and methodology, including complex L2 inquiries related to Barra’s multi-asset-class risk framework.
- Analyze market performance and data for clients and communicate relevant product and model information.
- Own case management from intake through resolution while meeting SLA targets, escalation protocols, and communication standards.
- Develop client relationships through proactive follow-up and provide feedback to Coverage, Product Management, Research, and Data groups.
- Mentor Analysts and Associates through coaching, knowledge transfer, and structured feedback.
- Design, build, and deploy AI-assisted solutions, evaluate AI-generated outputs, and improve service efficiency and quality.
Requirements
- 5–7 years of experience in financial services.
- Undergraduate degree in finance, economics, actuarial sciences, statistics, mathematics, or another quantitative field.
- Strong analytical, quantitative, problem-solving, organizational, and communication skills.
- Understanding of financial topics such as Modern Portfolio Theory, portfolio construction, optimization, CAPM, multi-factor risk models, market risk, credit risk, and VaR.
- Deep understanding of international financial institutions and global financial markets, with the ability to work effectively across diverse cultures.
- Practical experience using AI tools such as ChatGPT, Claude, or Copilot, including building repeatable AI-assisted workflows and validating outputs for methodological accuracy.
Nice to have
- Working knowledge of Python, R, or C++.
- MFE, MBA, master’s degree, CFA, or equivalent qualification.
Culture & Benefits
- Transparent compensation and employee benefits tailored to the local market.
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- High-performance and innovation-focused environment with opportunities to experiment and take ownership.
- Global network of colleagues and access to structured learning through Global Orientation, Learning@, AI Learning Center, and LinkedIn Learning Pro.
- Professional growth through internal mobility, expanded roles, and multi-directional career paths.
- Inclusion and belonging initiatives supported by eight Employee Resource Groups.
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