Your Team Responsibilities

MSCI’s Analytics Factor Model team, part of the broader Production Shared Services (PSS) organization, is seeking a Risk Model Analytics Associate to support the design, testing, delivery, and quality assurance of equity risk and factor models. This role sits at the intersection of quantitative analysis, business analysis, and AI-driven transformation — contributing to projects that improve how models are built, validated, distributed, and monitored. The ideal candidate brings a strong analytical foundation, technology curiosity, and the ability to translate complex model and data concepts into actionable outcomes across the project and production lifecycle. You will collaborate closely with quantitative researchers, engineers, and product teams across global offices to accelerate time-to-market, ensure data integrity, and drive operational improvements through emerging AI tools and methodologies.

Your Key Responsibilities

Project & Business Analysis

Work with quantitative researchers, engineers, and product teams to gather, document, and validate business and functional requirements for risk and factor model initiatives.

Design and execute test cases to verify that model outputs, data pipelines, and system behavior meet specifications — serving as a key bridge between quant research and engineering.

Translate complex model and data concepts into clear documentation, user stories, and project artifacts for both technical and non-technical stakeholders.

Leverage AI tools to assist in requirements synthesis, documentation generation and stakeholder communication – accelerating the analytical and documentation lifecycle

Monitor project milestones and deliverables, flagging risks and dependencies to ensure on-time model delivery to clients.

Participate in Agile/SAFe PI Planning cycles, contributing to sprint goals and team-level objectives – with the opportunity to grow into a Scrum Master or Product Owner capacity over time

Quality Assurance & Model Validation

Conduct in-depth data analysis to investigate model discrepancies, output anomalies, and data quality issues — going beyond surface-level checks to understand root causes.

Build analytical tools and scripts (e.g., Python, SQL) to automate and accelerate QA workflows, reducing manual effort and improving consistency.

Apply LLM-based and agentic frameworks to enhance QA workflows – including automated anomaly flagging, intelligent triage of model discrepancies, and pattern detection across large datasets

Develop and maintain validation frameworks that support repeatable, scalable quality processes across model production and distribution.

Contribute to the team’s MCP tooling initiatives, expanding analyst access to model repositories, databases, and APIs for more interactive and scalable QA coverage

Collaborate with operations and engineering teams to close data integrity gaps and continuously raise the quality bar.

AI & Process Transformation

Actively participate in and contribute to building AI-driven solutions aimed at improving operational efficiency and accelerating model delivery to clients.

Prototype and develop AI-assisted tools — including LLM-based workflows, intelligent monitoring systems, and automation pipelines — within the analytics operations context.

Identify operational pain points and translate them into concrete, deliverable improvement initiatives.
Partner with team leads and global counterparts to pilot, refine, and scale AI and automation solutions across the PSS organization.

Your skills and experience that will help you excel

Minimum Qualifications

Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field.

At least 3 years of experience in a data analysis, business analysis, quantitative research, or analytics operations role – with demonstrated exposure to or application of AI tools, LLMs, or automation frameworks as part of day-to-day analytical work

Strong quantitative and analytical skills — comfortable working with large datasets, model outputs, and numerical validation.

Proficiency in Python and SQL for data analysis, scripting, and workflow automation

Demonstrated ability to use AI tools to enhance analytical work – whether for data exploration, pattern detectino, automated reporting, or operational triage.

Familiarity with AI/LLM-based tools applied to analytics workflows – such as automated QA, anomaly flagging, insight generation.

Strong written and verbal communication skills in English — able to convey technical concepts clearly to diverse stakeholders.

Demonstrated ability to manage multiple workstreams and deliver in a project-based, cross-functional environment.

Preferred Qualifications

Exposure to financial models, quantitative analysis, or risk-related work in an academic or professional setting.

Understanding of statistical and mathematical concepts and their practical application — such as regression, time-series analysis, or probability-based methods.
Experience working with numerical data at scale — cleaning, transforming, and deriving insights from complex datasets using libraries such as NumPy and pandas
Experience with agentic AI frameworks such as LangChain or Model Context Protocol (MCP) integration

Experience building internal tools, scripts, or utilities that solve real operational problems.

Hands-on experience with or strong interest in AI tools, LLMs, or automation frameworks.

Familiarity with Agile/SAFe delivery frameworks — sprints, PI Planning, JIRA.

Experience with cloud data platforms such as Snowflake or equivalent.

Master’s degree in a quantitative or technical field is a plus.

About MSCI

What we offer you

Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.

Flexible working arrangements, advanced technology, and collaborative workspaces.

A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.

A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.

Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.

Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.

We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.

At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.

MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.

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