Python Developer Internship
Six-month internship with Generali Asset Management's Investment Data Science team in Lombardia: refactor and improve the Python code of a quantitative investment strategy for tactical asset allocation, automate slide generation and data backup, and run methodology tests on multi-asset portfolios.
- Compensation
- Not disclosed
- Location
- Lombardia, Italy
- Work setup
- Not specified
- Seniority
- Intern
- Employment
- Internship
- Experience
- 3+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Bachelor's Degree (1st level, 3 years) in Computer Engineering, Computer Science, Mathematics, Physics or related field
- Proficiency in Python, with proven capabilities in back-end development
- Proven experience working on mid/large projects (Git workflow)
- Genuine passion for scientific coding and a keen interest in quantitative finance
- Strong interpersonal skills and ability to work effectively in an international team/environment
- Proven ability to communicate complex analytical concepts to a general audience
- Flexibility and ability to manage changing deadlines
Nice to have
- Previous hands-on experience with financial topics
Full description
Job Description
The Investment Data Science team is part of the Generali Asset Management Investment Function. The team develops and coordinates projects and initiatives that leverage data science techniques to enhance investment strategies.
As an IT Developer within the Front Office, the candidate will work, within the Investment Data Science team, on refactoring and potentially improving the code of a quantitative investment strategy currently applied to tactical asset allocation and equity sector allocation.
The current implementation could theoretically be deployed on numerous mark-to-market portfolios, but its complexity, along with high computational and memory demands, limits this potential. The primary task over the next six months is to understand and enhance the code, making it more versatile, faster, and intuitive.
Main tasks:
- Structurally reorganize the code to ensure that the two main workflows (monthly outputs and annual reviews) are testable and free from obsolete implementations
- Automate the generation of output slides using updated market data
- Automate the storage and backup of data and historical results
- Conduct testing campaigns of the methodology on various multi-asset portfolios
Requirements
Our ideal candidate will meet the following requirements:
- Bachelor's Degree (1st level, 3 years) in Computer Engineering, Computer Science, Mathematics, Physics or a related field
- Proficiency in Python, with proven capabilities in back-end development
- Proven experience working on mid/large projects (Git workflow)
- Genuine passion for scientific coding and a keen interest in quantitative finance
- Previous hands-on experience with financial topics is a plus
Skills:
- Strong interpersonal skills and the ability to work effectively in an international team/environment
- Proven ability to communicate complex analytical concepts to a general audience
- Flexibility and ability to manage changing deadlines
Company Profile
Generali is a major player in the global insurance industry - a strategic and highly important sector for the growth, development and welfare of modern societies. Over almost 200 years, we have built a multinational Group that is present in more than 60 countries, with 470 companies and nearly 80,000 employees. Our Group aims to become the standard bearer and industry leader in the European retail insurance market, building on our existing base of 50 million retail clients, out of an overall total of 72 million.
Generali Asset Management is a European investment specialist, offering a wide range of active funds and bespoke solutions across both public and private markets. Our investment experience is grounded in a solid heritage, with skills that have been developed and honed over time by managing Generali Group and external clients' assets.