RESEARCH & DEVELOPMENT

Are you ready to lead the way in creating cutting-edge models and driving thought leadership in the finance industry?

YOUR SKILLS AND EXPERIENCE THAT WILL HELP YOU EXCEL

• Master’s degree or PhD in finance, quantitative finance, financial mathematics, economics, mathematics, physics, statistics, or another quantitative field
• 5+ years of relevant experience in economics, econometrics, financial risk, model development, or quantitative research
• Proven programming experience in Python, R, C++, Matlab, VBA, or C#, with the ability to apply these skills to financial modeling and analytics
• Strong understanding of economics and financial markets, with a focus on risk, portfolio management, and decision-making
• Advanced mathematical and quantitative problem-solving skills, with the ability to translate complex models into practical client solutions
• Excellent written and verbal communication skills in English, with the ability to present technical concepts to non-technical stakeholders
• Ability to work at the intersection of finance and technology, leveraging quantitative models to solve real-world client challenges
• Strong sense of ownership and initiative, with the ability to manage projects independently and drive results
• Experience working in a global, cross-functional team environment, collaborating across research, development, and client-facing teams

YOUR TEAM RESPONSIBILITIES

The Quantitative Research Team is responsible for developing and implementing the models and validation processes for industry adopted financial instrument pricing, statistics, stress tests, reporting, portfolio construction and other investment management solutions. Our goal is to ensure the highest-level quality models and the fastest time to market in the industry for financial products. This is an exciting role that lies on the cusp of finance and technology. As a key member of this team, the candidate will have direct responsibilities for ensuring that MSCI market-leading analytics continue to provide clients exceptional analytics quality and sophistication. By working at the intersection of quantitative research, model development, and client engagement, the team refines and tests models with direct client input, ensuring their accuracy and real-world applicability. Additionally, the team drives custom solution development and commercialization, embedding research experts in client engagements to deliver tailored analytics and advisory services. This approach not only strengthens client partnerships but also unlocks new revenue opportunities through bespoke, scalable financial solutions.

YOUR KEY RESPONSIBILITIES

• Work on innovative financial models that address complex client challenges in risk management, portfolio analytics, and capital markets applications, leveraging cutting-edge technologies.
• Engage directly with clients to understand their investment and risk management needs, designing and refining quantitative models that support credit risk assessment, portfolio construction, and financial decision-making.Contribute across multiple areas, including developing scalable, custom solutions, integrating financial models into client workflows, and optimizing analytical frameworks for real-world applications.
• Be exposed to a range of financial and quantitative problem-solving approaches, with a strong emphasis on scalable model development, including:
• Risk and pricing models tailored for fixed income, credit, and structured products
• Portfolio risk and performance analytics, including stress testing and scenario analysis
• Optimization and decision-support tools that enhance investment strategies
• Automation frameworks that improve the scalability and efficiency of financial solutions
• Collaborate closely with Risk Research, Analytics Development, and Client teams to bridge the gap between quantitative modeling and client use cases.
• Develop and refine custom financial solutions that integrate seamlessly into client operations, ensuring they are scalable, flexible, and aligned with industry best practices.
• Continuously explore new approaches and technologies to enhance the effectiveness of financial models and analytical tools, driving innovation in client problem-solving.
• Perform additional tasks as assigned by the line manager, ensuring a strong focus on client-driven innovation and the commercialization of bespoke financial solutions.