Senior Quantitative Researcher - QIS

Schneider Electric; Roma; In loco; EUR 70.000 - 110.000; Tempo pieno

Descrizione del lavoro

A technology company in Rome seeks a Senior Researcher to create ML/NLP solutions for finance. The ideal candidate will hold an MSc or PhD and have over 3 years of experience in quantitative investment strategies. Responsibilities include collaborating with financial firms, driving adoption of advanced technologies, and delivering impactful AI solutions. The role offers competitive compensation along with growth opportunities in an international environment.

Servizi

Competitive compensation

Relocation assistance

Work-life balance

Continuous learning

Competenze

• 3+ years’ experience in quantitative investment strategies.
• Hands-on expertise with LLMs and coding assistant technologies.
• Proficiency in Python and excellent client-facing skills.

Mansioni

• Design and build ML/NLP-powered solutions.
• Partner with financial institutions during POCs and pilots.
• Drive adoption of LLMs and fine-tuning solutions.

Conoscenze

Machine Learning

Natural Language Processing

Quantitative Finance

Python

Project Leadership

Data Analysis

Formazione

MSc or PhD in a relevant field

Strumenti

SQL

Descrizione del lavoro

Roma

EUR 70.000 - 110.000

2 giorni fa

RavenPack is powering the future of finance with AI. With over 20 years of experience delivering big data analytics to the world’s top hedge funds, banks, and asset managers, we are now building the next generation of generative AI solutions for financial professionals.

Our Mission

Help clients make faster, smarter decisions by integrating public information into their workflows using cutting‑edge NLP, ML, and GenAI technologies. RavenPack has been recognized as the Best Alternative Data Provider (WatersTechnology) and one of VivaTech’s Top 100 Next Unicorns.

We’re looking for a senior researcher to drive quantitative investment use cases across RavenPack’s product suite, from creating alpha‑generating datasets to developing intelligent agents and workflow solutions that transform how finance professionals operate. This role reports directly to Peter Hafez, Chief Data Scientist at RavenPack. You’ll combine deep technical expertise with a strong quantitative finance background to lead POC development, guide applied research, and work directly with enterprise clients to deliver real‑world AI solutions in finance. European legal working status is required.

Responsibilities

• Design and build ML/NLP‑powered solutions that generate measurable value in alpha generation and financial workflows.
• Partner with top‑tier financial institutions during POCs and pilots, rapidly iterating solutions based on real‑world feedback.
• Drive adoption of LLMs, LRMs, fine‑tuning, and multi‑agent systems to tackle complex investment challenges.
• Stay ahead of AI/ML trends and lead internal R&D aligned with strategic business goals. Collaborate across teams to deliver scalable solutions.
• Represent RavenPack at industry conferences, developer communities, and client events, translating complex ideas into impactful narratives.

Qualifications

• MSc or PhD in Computer Science, Machine Learning, NLP, Quantitative Finance, or related field.
• 3+ years’ experience in quantitative investment strategies from buyside or sell‑side, with proven success in ML/NLP‑driven initiatives.
• Deep, hands‑on expertise with LLMs, LRMs, and coding assistant technologies.
• Strong background in alpha generation, time‑series modeling, workflow orchestration, and multi‑agent LLM architectures.
• Proficiency in Python (plus SQL or other databases). Excellent client‑facing and project leadership skills. Entrepreneurial mindset with strong business acumen and a passion for pushing the boundaries of applied AI in finance.

Why Join Us

At RavenPack, you’ll work at the intersection of AI and quantitative finance, shaping the future of investment decision‑making in global markets.

• Relocation Assistance: Comprehensive relocation support to move to the beautiful Costa del Sol.
• Growth Opportunity: Join a rapidly growing company with 180+ team members and offices in New York, Madrid, and Marbella.
• International Culture: Be part of a diverse, global organization with a truly international culture.
• Team of Superstars: Work alongside a talented team of professionals, including Silicon Valley executives and Wall Street veterans.
• Competitive Compensation: We offer a highly competitive salary package and performance‑based bonuses.
• Work‑Life Balance: Enjoy paid vacation, flexible time‑off, and a flexible work policy.
• Continuous learning: We provide the support needed to grow within the team.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.