Oliver Wyman - (Senior) Analyst - Data & Analytics - Mexico City

Oliver Wyman; Ciudad de México; Híbrido; MXN 669.600 - 892.800; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible work schedule

Professional development opportunities

Travel opportunities across Latin America and North America

Descripción de la vacante

A global management consultancy is seeking a Senior Analyst for their Data & Analytics team in Mexico City. This role involves leading analytical initiatives, developing risk models, and applying cutting-edge AI to deliver scalable analytics solutions. Candidates should be final year students or recent graduates with strong quantitative skills and programming knowledge in Python. Fluency in Spanish and English is essential. Join a diverse team dedicated to impact through analytics.

Formación

• Final year students or recent graduates preferred.
• Excellent command of Spanish and English, both verbal and written.
• Interest in financial services and risk management is a plus.

Responsabilidades

• Lead analytical initiatives for banking products.
• Apply AI research for analytics solutions.
• Model portfolio decarbonization strategies.
• Optimize promotional programs using historical data.
• Develop models for customer risk assessment.

Conocimientos

Data-driven mindset

Programming in Python

Teamwork

Resilience

Bilingual (Spanish and English)

Educación

Bachelor, Master or PhD in a quantitative discipline

Descripción del empleo

Oliver Wyman - (Senior) Analyst - Data & Analytics - Mexico City

Who We Are

Oliver Wyman is a global management consultancy working across all areas of industry, financial services, government, and non‑profit organizations. Clients approach us with their most significant challenges, and we assemble teams of experts to address each facet of these complex issues. Together, we create breakthroughs that lead to remarkable impact.

What You Will Do

• Leading analytical initiatives for core banking products, including pricing (deposit and mortgages), credit‑risk optimization and Project Finance models to smooth energy transition.
• Applying cutting‑edge AI research with leading universities to deliver scalable, real‑world analytics solutions.
• Modelling portfolio decarbonization strategies leveraging advanced analytics techniques for large European banks.
• Optimizing and developing a promotional program using data from historical promotions for an Asian health & beauty chain by deploying a promotion analytics toolkit.
• Validating a customer‑facing GenAI chatbot for an American bank.
• Developing probability of default and loss models in Python for European and UK‑based banks.
• Identifying supply chain risks by combining multiple live data feeds, and developing and applying a bespoke AI‑based risk methodology.
• Developing a next best action model to reduce customer churn for a global telecom company.

Why Join Us

Expect a steep learning curve, as no two projects are ever the same. You’ll have the opportunity to travel across Latin America and North America, gaining invaluable experiences and insights across different cultures and with access to the latest technologies, you’ll constantly expand your toolkit with each new endeavor. You won’t be alone on this journey; various colleagues will guide and coach you throughout your career. You’ll have a dedicated buddy, a career adviser, and a talent manager to help you navigate your professional path. We also care deeply about sustainable work‑life quality, providing you with the flexibility to balance your career aspirations with your personal life. This role will empower you to embrace your curiosity and step out of your comfort zone. You will have the opportunity to work alongside genuine colleagues who measure success by the lasting impact we create together. If you’re excited by challenges and eager to make a meaningful impact, we look forward to welcoming you aboard!

Who Can Apply

• Final year students or recent graduate with Bachelor, Master or PhD in a quantitative discipline from a top academic program (Data Science, Applied Mathematics, Actuarial Science, Statistics, Computer Science, Engineering, etc.).
• Data‑driven mindset and proficiency with numbers, paired with the ability to explain sophisticated data science concepts in an understandable manner to clients and colleagues.
• Programming skills in Python, but more importantly, an eagerness to continuously extend your knowledge of technologies.
• Strong commitment to teamwork and resilience in a creative and constantly changing environment.
• Excellent command of the Spanish and English languages (verbal and written).
• Interest and experience in financial services and risk management is a plus.

How to Apply

Please submit your CV, cover letter and transcripts. If you would like to find out more information about Oliver Wyman, please visit our website or alternatively, apply to attend one of our events, details of which can be found here.

Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.

Marsh McLennan is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office‑based teams will identify at least one “anchor day” per week on which their full team will be together in person.