Graduate Program - Quantitative Trading

Founded in 2011, Fasanara Capital is a London-headquartered global asset manager and technology platform managing approximately USD 6 billion in assets, with a team of 120+ professionals globally.

We combine investment expertise with advanced data, analytics and proprietary technology to originate, analyse and manage complex portfolios at scale.

The Graduate Programme – Fasanara Talent Grand Prix 🏎️
The Graduate Talent Grand Prix is a structured, multi-stage selection process designed to identify the strongest STEM graduates in Italy.

With the opening of our Ferrara office, we are creating a direct bridge between local talent and global opportunities.

High performers are everywhere — and deserve a chance.
Excellence knows no geography. Opportunity often does.
The gap between the two is where inequality lives — and where real alpha hides.

At Fasanara, we focus on identifying overlooked talent and connecting it to capital, technology and a global platform. Because when opportunity catches up with talent, the results are outsized.

This programme is designed to give high-potential graduates direct exposure to a global investment platform through hands-on experience, real projects, and close collaboration with experienced teams.

Overview of the Role

As part of the Quantitative Trading department, you will support the trading team across: strategy research, quantitative model development, portfolio analysis, and data-driven decision making.

During the programme, you will gain exposure to a range of activities across algorithmic trading, signal research, risk management, and execution analytics. You may contribute to the development and backtesting of trading strategies, performance attribution, research initiatives, and analytical outputs used by both senior portfolio managers and external stakeholders.

You will assist in improving trading system efficiency, ensuring data integrity, and delivering high-quality quantitative research within a fast-paced trading environment.

This stream is suited to candidates with a strong quantitative background, a passion for financial markets, and the ability to apply statistical and computational methods within a systematic trading framework.

Requirements:
You must have:

• Right to work in Italy (no visa sponsorship)
• Professional working proficiency in English
• Graduated or graduating by September 2026

Academic background:

• Degree in Quantitative Finance, Mathematics, Statistics, Computer Science, Econometrics, or a related quantitative discipline
• Master’s degree preferred

Skills:

• Strong understanding of financial instruments, derivatives, and market microstructure
• Python: Intermediate or above (basic is not sufficient) — experience with pandas, NumPy, and data analysis libraries is expected
• SQL: Basic knowledge required
• Excel: Strong proficiency (e.g., VLOOKUP/XLOOKUP, pivot tables, structured analysis)
• Ability to develop and backtest quantitative strategies in notebooks or structured codebases
• Familiarity with statistical concepts such as time series analysis, factor modelling, or regression analysis
• Analytical mindset, intellectual curiosity, and strong attention to detail
• Internship or previous work experience in trading, quantitative research, or financial analytics is a plus

Application Process & Timeline

You can apply on LinkedIn, selected university platforms in Emilia-Romagna, or our Careers Page.

Process:

• Application
• Online Python technical assessment
• Video interviews (English and values)
• Final in-person assessment day in Ferrara

Start date: September 2026
Programme duration: 6 months (until March 2027)

Benefits:
What is in it for you

• 📅 6-month paid graduate programme (September 2026 – March 2027)
• 💰 €1,000 per month + meal vouchers (buoni pasto)
• 🏢 Full-time, on-site experience in our Ferrara office
• 🌍 Exposure to an international quantitative hedge fund
• 📊 Work on live projects with real business impact
• 🤝 Structured mentorship, training and continuous feedback

At the end of the programme:

• 🚀 Top performers will be offered permanent roles
• 💼 Starting salary up to €35,000 + bonus scheme
• 📈 Long-term career progression and access to additional benefits
• 🌐 Exposure to international teams and London HQ