Intern - Fixed Income Sustainability Team

Franklin Templeton; Polska; Remote; PLN 29,000 - 42,000; Part time

Job summary

Franklin Templeton is seeking a Sustainability Intern in Poland to support the development of sustainability methodologies and data collection for ESG research.

You will work remotely from anywhere in Poland, using Python, R, SQL, and other analytical tools to analyze financial and sustainability data, contribute to AI-enabled automation, and help build dashboards and analytical tools within a global asset manager.

Qualifications

• Currently pursuing a bachelor’s or master’s degree in a quantitative/technical/finance/economics/sustainability field.
• Strong interest in data analysis, programming, AI, and automation; eager to solve real-world problems.
• Working knowledge of Python or R; willingness to further develop technical skills.
• Intermediate SQL skills and interest in large datasets.
• Hands-on experience using AI tools for coding, research, data analysis, or workflow automation.

Responsibilities

• Support development and implementation of sustainability methodologies through quantitative analysis and data-driven research.
• Use Python, R, SQL, and other tools to analyze financial, portfolio, and sustainability data.
• Contribute to AI-driven automation, process optimization, and workflow improvements.
• Help develop and enhance internal applications, dashboards, and analytical tools.
• Conduct ESG and sustainability screening using MSCI, Sustainalytics, and other datasets.

Skills

Python

R

SQL

Data analysis

AI tooling

Dashboards

Education

Bachelor's or Master's student (quantitative/technical/finance/economics/sustainability)

Tools

Git

APIs

Snowflake

Data visualization

Job description

At Franklin Templeton, we believe success is built through powerful partnerships. As a forward thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting edge strategies and deep insights to unlock opportunities for long term wealth creation. Our talented, global teams bring expertise that is both broad and unique.

From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients’ success.

About The Department

The Sustainability Team is responsible for developing and implementing sustainable investing strategy for the Fixed Income. You will be responsible for performing various tasks related to data collection and sustainable investment assessment processes. Work in a remote working arrangement from elsewhere in Poland. A flexible schedule, adjusted to classes at a university, will be arranged between the intern and the rest of the team.

How You Will Add Value

Core Responsibilities

• You will support the development and implementation of sustainability methodologies through quantitative analysis and data-driven research.


• You will use Python, R, SQL, and other analytical tools to analyze financial, portfolio, and sustainability data.


• You will contribute to AI-driven automation initiatives, including process optimization, AI-assisted coding, and workflow improvements.


• You will help develop and enhance internal applications, dashboards, and analytical tools.


• You will conduct ESG and sustainability screening using proprietary methodologies and third‑party datasets, including MSCI and Sustainalytics.


• You will perform ad hoc research on sustainability and investment‑related topics and communicate your findings to the team.


• You will support data quality initiatives, data integration activities, and improvements to analytical workflows across multiple data sources.


• You will share innovative ideas, technical solutions, and emerging AI use cases that can enhance team effectiveness and efficiency.


• You will assist Sustainability Team members with day‑to‑day analytical projects and business activities.


• You will gain exposure to sustainable investing, ESG research, financial data analysis, and technology-driven solutions within a global asset management organization.

What Will Help You Be Successful In This Role

• Strong interest in data analysis, programming, AI, and automation, with a desire to solve real‑world business problems.


• Working knowledge of Python or R and willingness to further develop technical skills.


• Intermediate SQL skills and interest in working with large datasets.


• Hands‑on experience using AI tools for coding, research, data analysis, or workflow automation.


• Interest in developing applications, dashboards, analytical tools, or automated solutions.


• Strong analytical and problem‑solving skills, with the ability to learn independently and explore new technologies.


• Current bachelor's or master's student in a quantitative, technical, finance, economics, sustainability, or related field.


• Interest in sustainable investing and how sustainability data is used in investment processes.


• Fluent knowledge of English (spoken and written) is a must.


• Strong analytical skills with a keen eye for details.


• Very good organizational skills and demonstrated ability to work independently without direct supervision, good communication skills and ability to effectively tailor communication with a diverse range of business partners located around the globe.

What would make a candidate stand out?

• Experience with one or more of the following would be particularly valuable: Git/version control, APIs, Snowflake, application development, data visualization, AI‑assisted software development, prompt engineering, or building AI agents and assistants.


• Most importantly, we are looking for someone who is curious, technically minded, comfortable experimenting with new tools, and motivated to build solutions rather than only perform predefined tasks.

Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.

Artificial intelligence or automated tools may be used to assist in the screening, assessment, or selection of applicants for this position.