We are seeking a Senior Financial AI Specialist to bridge the gap between AI technology and financial domain requirements. This role involves leveraging AI to improve decision-making in areas such as trading, compliance, and portfolio management.
Key Responsibilities:
- Collaborate with AI and engineering teams to develop domain-specific models for financial workflows and define / design the skills of Agentic AI in financial domains
- Provide expertise in trading, portfolio optimization, and compliance to ensure models meet industry standards.
- Lead efforts to incorporate financial regulations into AI model design.
- Act as a liaison between technical teams and financial stakeholders.
- Drive adoption of AI solutions by providing training and support to end users.
Required Skills & Qualifications:
- Advanced degree in Finance, Economics, or a related field.
- 7+ years of experience in financial services, with a strong focus on AI applications.
- Knowledge of financial modeling, trading strategies, and risk assessment.
- Familiarity with AI frameworks and tools, including NLP and machine learning.
- Strong interpersonal and communication skills.
- Product/Solution-Mindset with the ability to own and lead projects from A-Z is a must.
Compensation
iGenius offers a competitive compensation structure, including salary, performance-based bonuses, and additional components based on experience. All roles include comprehensive benefits as part of the total compensation package.
About iGenius
iGenius is a deep-tech company specialized in the development of Artificial Intelligence solutions for companies operating in highly regulated industries, including financial services, government, or heavy industry. iGenius’ main product, Unicorn, offers tailored solutions for companies looking to integrate AI safely and effectively, mainly through two proprietary Large Language Models (LLMs). Italia 10B, is a multi-language model optimized for regulated sectors and elevated computational efficiency, while Colosseum 355B, built with latest-generation NVIDIA technology, is fit for mission-critical use cases. In addition to Unicorn, iGenius’ product offer includes Crystal, an AI agent for Decision Intelligence that analyzes business data in natural language and accurately supports strategic, insight-driven decision-making. In December 2024, iGenius joined forces with NVIDIA to build Colosseum – one of the largest AI supercomputers in the world – to support the deployment of its models with unrivaled speed, performance, and efficiency.
Active in both Europe and the United States, iGenius is one of the leading AI unicorns in the European landscape, and has attracted Fortune 500 companies, including Allianz and Intesa Sanpaolo. This led Gartner to recognize iGenius as a “Cool Vendor” in the AI Core Technologies category, as well as mention the company in its Market Guide for Conversational AI.
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What We Do
iGenius is an Italian AI company that develops language models and AI solutions tailored for highly regulated industries, including financial services and government.
With a mission to democratize business knowledge, iGenius is one of the top AI unicorns in Europe today.
iGenius’ flagship product, Crystal, is a Decision Intelligence tool that analyzes data in natural language, making it accessible for anyone within a business organization. From Allianz to Intesa San Paolo, Crystal has become the AI solution of choice for a number of Fortune 500 companies. This led Gartner to recognize iGenius as a “Cool Vendor” in the AI Core Technologies category, as well as mention the company in its Market Guide for Conversational AI and include it in the 2024 Magic Quadrant for Analytics and BI platforms.
In June 2024, iGenius released Italia, an open-source Foundational Large Language Model, developed in collaboration with Cineca, and trained entirely on high-quality native Italian sources.
That same month, iGenius launched a new enterprise solution called Unicorn, to support companies in adopting AI safely and effectively, with AI solutions tailored to their needs.
