Finance Management Trainee (Hybrid Finance × Data × Business) - Product Supply

Bayer; Toluca; Hybride; MXN 200 000 - 360 000; Plein temps

Résumé du poste

Bayer invites graduates to join a Finance Management Trainee program at a production facility in Mexico, Toluca. Based in Product Supply Finance with ~50% rotations through Commercial Finance, Digital Finance and key stakeholders, you’ll gain end-to-end understanding of value creation through data and technology.

This on-the-job program emphasizes applying new knowledge soon, tackling real business questions, and experimenting with AI, analytics and emerging technologies in a manufacturing

Qualifications

• Degree in Finance, Business, Engineering, Data Science, or similar.
• Advanced English required.
• Strong curiosity and proactive mindset.
• Affinity with data, systems and digital solutions.
• Interest in AI and new technologies.
• Willingness to relocate internationally.

Responsabilités

• Partner with Finance Business Partners on site, learning manufacturing finance hands-on.
• Translate production processes into numbers, linking drivers to P&L, working capital and performance.
• Identify opportunities for automation, analytics, self-service reporting and AI-enabled insights.
• Work with Bills of Materials (BOMs) to understand product costing and value drivers.
• Collaborate on reporting, planning and forecasting with central partners.
• Present financial results to site and stakeholders, telling the story behind the numbers.
• Support continuous improvement initiatives where finance, operations and efficiency intersect.

Connaissances

Advanced English

Data affinity

Curiosity & learning agility

AI experimentation

Interest in manufacturing

Communication skills

Relocation willingness

Formation

Finance/Business/Engineering/Data Science degree

Description du poste

Finance Management Trainee (Hybrid Finance × Data × Business) - Product Supply

Kickstart your career at the intersection of Finance, Data Science and IT — right where products are made.

If you’re the kind of graduate who gets equally excited about P&L, a dataset, and experimenting with AI — this is your program.

We are a manufacturing company operating in the Consumer Health and Fast‑Moving Consumer Goods (FMCG) space, and we are proud of the products we create every day — products that aim to reach billions of consumers worldwide and make a real difference in people’s lives.

Guided by Bayer’s mission “Health for all, hunger for none,” we are shaping the future of finance by combining business impact, technology and purpose.

In our Finance Management Trainee program, you will be based at one of our production facilities, close to our products and operations. Your home assignment sits in Product Supply Finance, complemented by ~50% rotations across Commercial Finance, Digital Finance and key stakeholders. This ensures you gain a true end‑to‑end understanding of how value is created, steered and transformed through data and technology.

This is not a traditional finance traineeship. It is on‑the‑job learning by design: you will apply newly acquired knowledge immediately, work on real business questions, and actively experiment with AI, analytics and emerging technologies in a manufacturing environment.

TASKS AND RESPONSIBILITIES

• Partner closely with experienced Finance Business Partners on site, learning manufacturing finance hands‑on.
• Translate production processes into numbers, connecting operational drivers to P&L, working capital and performance.
• Actively identify opportunities for automation, analytics, self‑service reporting and AI‑enabled insights in day‑to‑day finance work.
• Work with Bills of Materials (BOMs) to understand product costing and value drivers.
• Collaborate on periodic reporting, planning and forecasting, together with central reporting and analytics partners.
• Present financial results to site and stakeholder management, learning how to tell the story behind the numbers.
• Support continuous improvement initiatives where finance, operations and efficiency come together.

WHO YOU ARE

• A degree in Finance, Business, Engineering, Data Science, Data Engineering, Software Engineering or similar.
• Advanced English level.
• Strong curiosity, learning agility and a proactive mindset.
• A clear affinity with data, systems and digital solutions.
• Enthusiasm for experimenting with AI and new technologies.
• A genuine interest in manufacturing, production environments and FMCG operations.
• Confidence to ask questions, challenge the status quo and roll up your sleeves.
• Strong communication skills and cultural sensitivity.
• Willingness to move/relocate internationally.

WHAT WE OFFER

• A steep learning curve across Finance, Data and Technology — and how they interlink.
• Real responsibility from day one, with your work embedded in real processes and decisions.
• Coaching and mentoring from experienced finance professionals on site and globally.
• A purpose‑driven environment aligned with Bayer’s mission: “Health for all, hunger for none.”
• A strong pipeline into future roles across finance, analytics, digital and business partnering.

At Bayer we believe in diversity, equity and inclusion. We aim to create an environment in which everybody can feel authentic, respected and equally valued. Every day we strive to reflect our values through our unique capabilities, self‑experiences, and aspirations. We intentionally seek diversity, to enable our people to bring their fullest potential out and encourage others to likewise do so. Our company wins when we leverage our capabilities to lead the cultural transformation in our business, positively impacting society.

Candidates who meet the requirements based on the job profile will be considered for employment regardless of physical disability, race, color, religion, sex, age, sexual orientation, gender identity and will not be at a disadvantage if unemployed.

Division: Consumer Health

Functional Area: General Administration & Corporate Services

Location: Mexico : Estado de Mexico : Toluca

Work Time: Full Time

Employment Type: Regular