
Intern PMO Trade Services
11040/2025
What makes Franklin Templeton unique?
In addition to the dynamic and professional environment at Franklin Templeton, we strive to ensure that our employees have access to a competitive and valuable set of Total Rewards—the mix of both monetary and non-monetary rewards provided to you in recognition for your time, talents, efforts, and results.
Highlights of our benefits include:
- Possibility to develop your career in a global environment
- Attractive location in the center of Poznań (New Market)
- Office gym
- MultiSport Program
- Learning resources (LinkedIn Learning, online and in-person trainings)
- Recommendation program (Employee Referral Network)
- Friendly and supportive working environment
- Participation in international projects
- Possibility to lead or support charity events
- Onsite canteen, discounted prices
We believe that being a good corporate citizen is good business. To us, corporate citizenship means being accountable, serving our clients, being an employer of choice, managing our environmental impact, and supporting our communities. An emphasis on corporate citizenship is embedded in our culture and values, and is an important element of how we achieve success.
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Wymagania
- Current student status.
- Available to work 25-30 hours per week.
- Understanding of equities, fixed income, options, and futures.
- Ability to interpret and analyze data.
- Familiarity with SQL, XML, and JSON.
- Exposure to generative AI tools and models.
- Strong English communication skills.
- Interest in financial markets.
Zadania związane z oferowanym stanowiskiem
- You will partner with clients to deliver system solutions.
- You will coordinate system changes with technology teams.
- You will support the development of new system reports.
- You will assist in extracting data from core systems.
- You will contribute to AI-related initiatives and explore its applications in business.
- You will analyze and map financial data across systems.
- You will work with transaction and position data in financial instruments.