Overview

We are looking for a skilled Data Scientists with good data science and quantitative strategy development experience! Different levels!

A Beginner's Guide to the World Within Data Science | by Conor Dewey | TDS Archive | Medium

Rome (Hybrid) – Long-term – Full-time – Different levels (Junior-Senior)

Company Overview

GenieAI is at the forefront of agentic finance, aiding leading asset managers and hedge funds in uncovering hidden alpha and risks through the power of predictive and generative AI. Our award-winning portfolio and risk management platform allows portfolio managers to anticipate market trends and manage risks with unparalleled precision. GenieAI’s expert team, consisting of industry leaders, PhDs, and MBAs, brings extensive AI and Machine Learning experience to investment management.

We serve some of the most successful asset managers globally, including clients in the U.S., U.K., Europe, Asia, and Australia. Our company is backed by prominent investors such as Coinbase Ventures, Bain Capital Ventures, and others.

Role Summary

We’re looking for an experienced Data Scientist / Machine Learning Engineer with a strong background in quantitative trading and strategy development. You will work closely with our product, research, and engineering teams to build and enhance predictive models, signal generation engines, and portfolio construction tools that drive investment decision-making for leading institutional clients. This is a high-impact role at the intersection of AI, finance, and quantitative research.

Key Responsibilities

  • Develop, test, and refine predictive models for asset selection, market regime detection, and portfolio optimization
  • Design and implement machine learning pipelines for trading strategies using historical and real-time market data
  • Conduct backtesting, scenario analysis, and performance attribution for systematic strategies
  • Work closely with portfolio managers and product teams to translate investment hypotheses into scalable model features
  • Analyze the behavior and risk characteristics of strategies under different market conditions
  • Support continuous model improvement by integrating new data sources, refining features, and deploying updated models
  • Document methodologies and contribute to client-facing reports and research publications

What We’re Looking For

  • Degree in Computer Science, Engineering, Mathematics, Statistics, or related field (Master’s or PhD preferred)
  • 1+ years of experience in machine learning, quantitative research, or trading strategy development
  • Strong Python programming skills; experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch) and data science tools (e.g., pandas, NumPy)
  • Deep understanding of financial markets, trading mechanics, and alpha research workflows
  • Experience with backtesting frameworks, portfolio simulation, and time series modeling
  • Strong problem-solving skills and ability to independently drive research from idea to production
  • Excellent written and verbal communication in English
  • Ability to work under a Partita IVA contract
  • Willingness to work in-person from our Rome office – at the Social Hub
  • Embracing of our values

Bonus

  • Experience with digital assets or alternative data
  • Familiarity with optimization libraries and techniques (e.g., convex optimization, multi-objective frameworks)
  • Knowledge of risk modeling and portfolio construction best practices
  • Contributions to open-source trading or ML projects

Our Ideal Candidate

  • The core skills here are more data science + quantitative strategy development experience.
  • Must have experience developing systematic trading strategies in python, running time series analysis, and implementing the strategy in production.
  • Has a passion in trading, crypto, AI.
  • Has side and pet projects.
  • Machine learning model experience is nice to have here.

What We Offer

  • Salary: based on experience
  • Contract: Long-term b2b contract (Partita IVA) ❗️ BUT salary is stable each month, social package according to Italian law (vacation, sick leaves, holidays), and stock options included
  • Time Off & Flexibility: 20 days of PTO, holidays, and sick time according to local laws (CCNL)
  • Impactful Work: Opportunity to shape the future of AI-powered investing
  • Expert Team: Work with a talented team at the cutting edge of machine learning and finance
  • Global Exposure: High-impact role with global exposure and direct client relevance
  • Modern Workplace: Flexible work arrangements and a collaborative work environment in central Rome (Office: Viale dello Scalo S. Lorenzo, 10)
  • Equipment and everything needed for a work
  • Stock Options

Some More Details

  • Team: 10 people (2 BE devs, 1 FE, 3 Data Science, AI people)
  • Hybrid work: 3 days a week in the office
  • European working schedule: 9-6h. No evening calls
  • Profitable company, long-term partnership only
  • Trips: Have work and fun trips (Spain, Portugal etc.)

Hiring Process

  • Prescreening call (30 min)
  • Initial call with CEO (30 min)
  • Tech Interview (1 h) – with coding
  • Home assignment (2-3 h) – Offer🥳

Interested? Let’s connect and discuss the details!

LinkedIn

Email: yuliana.rybka@sunvery.com.ua