Quant Developer – AI-Driven Quant Fund​/Equities mid-frequency

Position: Quant Developer – AI-Driven Quant Fund/Equities mid-frequency : €500k+
Location: Via Milano

Quant Developer – AI-Driven Quant Fund/Equities mid-frequency : €500k+
We’re partnering with an ambitious, early‑stage quantitative investment firm that’s quietly assembling a world‑class engineering and research team. Backed by experienced founders and operating at the intersection of markets, data, and machine intelligence, this fund is building high‑performance trading systems across equities, crypto, and futures.
They’re now looking to add a Quant Developer who thrives in a fast‑moving start‑up environment and wants real ownership over mission‑critical trading infrastructure. This is not a siloed role. You’ll sit close to the research, trading, and execution stack, helping to design, build, and scale systems that directly impact P&L from day one.
What You’ll Do

Build, maintain, and evolve production‑grade trading systems that manage and execute orders across multiple MF‑t strategies and exchanges in equities, crypto, and futures
Optimize performance, reliability, and latency across the execution stack, with a strong focus on robustness in live trading environments
Partner closely with quant and machine learning researchers to continuously refine data pipelines, signals, and execution logic
Contribute broadly as a hands‑on engineer—stepping in across software and quant‑development workloads as needed in a demanding startup setting

What They’re Looking For

Strong experience building high‑performance, production‑quality code in a trading or similarly latency‑sensitive environment
Comfort working across multiple asset classes and exchanges, or the curiosity and ability to ramp up quickly
A pragmatic, problem‑solving mindset—someone who enjoys shipping, iterating, and improving real systems
The flexibility and ownership mentality required to succeed at an early‑stage fund

Technical Requirements

Strong BSc, MSc or PhD academic background in Machine Learning, Computer Science or Engineering
Advanced Python skills; experience with PyTorch, Tensor Flow, Num Py, pandas, scikit‑learn

Nice to Have

C++ or other low‑level language experience

Experience with distributed computing or large‑scale data pipelines
Prior experience in systematic trading, prop trading or quant funds
Equities mid‑frequency

Why Join?

Start‑up culture with genuine roadmap to $1billion AUM
Equity on offer alongside excellent base plus bonus
Machine learning is core to the investment process, not an overlay
Exposure to multiple asset classes within a unified research framework
Opportunity to influence model design, data architecture and research standards

Seniority level
Mid‑Senior level

Employment type

Full‑time
Job function
Engineering, Research, and Information Technology
Industries
Technology, Information and Media, Financial Services, and Investment Banking
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