PIn a financial time series, the signal—when there is one—is weak. Most experiments lead nowhere, and a single validation error produces results that look beautiful and are false. The job is to find what holds up out of sample and take it into production, inside an app that’s about to launch. /ppWe’re AI Lynx, based in Naples. We trained, validated, and deployed the model that runs inside VEGA ourselves—VEGA is our quantitative investment analysis app for self-directed investors, and it’s ready to go to market. We carry out our research together with universities and research centres: that’s how we work. More fintech products are in the pipeline, the next one for banks and investment managers, and we’ll build their models with you. /ppYou’ll contribute from day one and take ownership of the technical direction of a growing team, working closely with our CTO as a second pair of eyes. The model you validate goes into production inside VEGA: at this stage there’s no other team in between. /ph3What you’ll do /h3ulliDesign and run reproducible experiments on financial time series: features, models, validation, and historical simulations. /liliTest your results out of sample. House rule: a result that doesn’t replicate doesn’t count. /liliTake models into production, inside VEGA and the products in our pipeline. /liliWork with researchers from the universities we collaborate with. /liliUse frontier AI tools, including for research, and work with us to refine how we use them. /li /ulh3What to expect /h3ulliA gross annual salary of €45,000–€60,000, plus benefits. /liliExperiments that are yours, end to end:



from hypothesis to model in production. /liliMost experiments never make it into production. If you need to see a result every week, you’ll struggle here. /liliTechnical ownership from day one: you’ll be the point of reference for a small, growing team. /liliYou can publish, within one limit: general scientific work, yes; details of the financial domain, no. /liliRemote working from Italy, with a few meetings in Naples during the year, or on-site at the Centro Direzionale. Start date: autumn 2026. /li /ulh3What we’re looking for /h3ulliA degree in computer science, engineering, mathematics, or physics, or an equivalent background you can demonstrate. /liliGrounding in ML/DL fundamentals—training, evaluation, generalisation and solid mathematics: probability, statistics, and linear algebra. /liliAt least one substantial ML project, academic projects included, whose choices, mistakes, and limitations you can discuss. /liliTracked, reproducible experiments, and the patience to stay with a problem that won’t give way for weeks. /liliModels you have taken into production. /liliExperience with time series. /li /ulpA plus: a project outside your main area (CV, NLP, or something else), which tells us how quickly you get up to speed in a new domain; experience with financial data or an interest in finance and trading; publications or competitions. /ph3Our selection process /h3pWe’ll respond within 10 business days of your application. Interviews begin in October, and the process from the first interview to an offer takes 3–4 weeks. /p #J-18808-Ljbffr

📌 Ai engineer (senior) (Napoli)
🏢 AI Lynx
📍 Napoli