Analytics Client Service Associate
MSCI · Monterrey
We are currently seeking an experienced Analytics Client Service Specialist to join our Client Coverage organization in Mexico City/Monterrey.
The MSCI Global Client Service team is composed of experienced financial professionals that provide first tier support for our clients around the world. Team members are responsible for responding to a wide variety of methodology, usage, interpretational, and technical questions on both analytical and benchmark products. Client contact is primarily via telephone and email, but occasional travel may be required for on-site presentations or trainings. Client Service Specialists work closely with account managers and consultants to develop and maintain client relationships.
- Answer detailed client inquiries about MSCI products and methodology, with emphasis on complex L2 questions requiring quantitative and methodological expertise across Barra's multi-asset class risk framework.
- Participate in developing client relationships through proactive follow up on issues raised by clients.
- Analyze market performance and data for our clients on a reactive and a pro-active basis.
- Maintain relationships by ensuring relevant product and model information is shared with clients.
- Provide client feedback to the Coverage, Product Management, Research and Data groups.
- Keep up with current events and trends in the marketplace.
- Own end-to-end case management from intake to resolution, ensuring adherence to SLA targets, escalation protocols, and client communication standards.
- Mentor and develop junior team members (Analysts and Associates) through regular coaching, knowledge transfer, and structured feedback.
- Contribute to the team knowledge base by creating and updating articles, leading formal knowledge-sharing sessions, and promoting client self-service adoption.
- Accountable for translating AI capability into team-level impact — designing, building, and deploying AI-assisted solutions that improve service efficiency and team productivity.
- Maintain consistent personal AI tool adoption embedded in daily workflow, serving as a practitioner role model for responsible and effective AI integration within Client Service.
Specific Knowledge/Skills
- Strong analytic, quantitative, and problem-solving skills.
- Demonstrated understanding of financial topics which should include some of the following: Modern Portfolio Theory, Equity and Portfolio Construction, Optimization, Cap Asset Pricing models, Multi Factor Risk Models, Market Risk, Credit Risk and VAR.
- Deep understanding of international financial institutions and global financial markets.
- Proactive and highly motivated, track record of challenging self and others to anticipate future trends and creatively capitalize on opportunities
- Ability to develop value-added contributions to both internal and external clients.
- Excellent communication skills, ability to articulate complicated concepts or methodologies verbally and in writing to senior management and clients.
- Strong organizational skills with the ability to handle multiple projects under tight, short-term deadlines.
- Dynamic, track record of excelling in an environment of ambiguity by quickly adapting behavior and work methods to adjust to multiple demands and shifting priorities.
- Teamwork, ability to work efficiently with diverse cultures on a global team and knowing when to involve appropriate colleagues in projects regardless of function or location.
- Working knowledge of programming (Python, R, C++) is a plus.
- Familiarity with AI tools (e.g., ChatGPT, Claude, Copilot); demonstrated ability to embed AI into daily workflows and build repeatable AI-assisted solutions that improve team productivity and service quality.
- Ability to critically evaluate AI-generated outputs in a client-facing context, ensuring accuracy and methodological soundness before delivery.
Desired Experience
- 5-7 years’ experience in Financial Services.
Desired Qualifications
- Undergraduate degree in finance, economics, actuarial sciences, statistics, mathematics, or other quantitative fields required.
- MFE, MBA,Masters Degree and/or CFA , or equivalent highly desired.