AI Senior Financial Engineer Role

Reposted 11 Days Ago
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Paris, Île-de-France
In-Office
Mid level
Artificial Intelligence • Natural Language Processing • Software • Analytics • Financial Services
The Role
The AI Senior Financial Engineer will design and implement ML models, develop data pipelines, optimize performance, and collaborate within cross-functional teams to enhance investment analysis in private equity.
Summary Generated by Built In

SESAMm

SESAMm (www.sesamm.com) extracts behavioral insights from millions of unstructured text data sources across the public internet in over 100 languages, helping clients distill valuable intelligence on businesses and their customers to make investment decisions and manage risk. 

We work with many well-known firms around the world in private equity, investment banking, insurance, and asset management to apply Natural Language Processing and Artificial Intelligence algorithms to track e-reputation, competitive positioning, sentiment analysis, risk and ESG factors.

SESAMm is growing quickly, with over 90 team members around the globe and offices in Paris, New York, London, Metz, Tunis, and Tokyo.

Key technologies: Alternative Data, Natural Language Processing, Machine Learning and Quantitative Analysis.

Are you looking for a new challenge? Do you dream of joining a growing company, proposing new ideas, and taking part in innovative processes?

At SESAMm, everyone brings their ideas, skills, and creativity. We value collaboration, support and teamwork. We learn every day from the experience of this great team and we constantly take up new challenges. We are proud of the work accomplished and to participate in the success of this great adventure! 

The AI Senior Financial Engineer Role

SESAMm, in partnership with one of the largest private equity (PE) firms in the United States, is seeking an AI Senior Engineer to join an exciting AI platform project designed to transform investment analysis. This project is at the cutting edge of private equity, leveraging advanced machine learning (ML) and artificial intelligence (AI) to improve data-driven decision-making. As a Senior AI Financial Engineer in this role, you will contribute to a groundbreaking platform used by deal teams to accelerate and enhance due diligence.

Key Responsibilities

  • AI Model Development: Design, implement, and optimize ML and AI models to generate actionable insights, focusing on analyzing diverse data sources and improving decision-making in PE investments.
  • Data Engineering & Processing: Work alongside data engineers to develop scalable and efficient data pipelines capable of handling and processing large data volumes from multiple sources.
  • Feature Engineering: Collaborate with domain experts to understand the critical components in PE analysis, crafting features that enhance the relevance and accuracy of the models.
  • Model Evaluation & Optimization: Use robust evaluation methods and optimization techniques, including distillation and model compression, to ensure high-performance models in a high-demand environment.
  • Cross-Functional Collaboration: Work within a global, cross-functional team, bringing innovative solutions to real-world challenges. Partner with data science and engineering experts to refine and scale the AI platform.
Desired Background and Skills
Education
  • Master’s degree in AI, Data Science, or a related field.
Experience
  • Prior experience (4-5 years) in AI or ML is required. Familiarity with financial services, private equity, or similar industries is advantageous but not required.
  • Minimum of 48 months of experience, including internships
Skills
  • Expertise in LLM frameworks such as LangChain, a solid understanding of the LLM ecosystem, and familiarity with prompt engineering. Interest in AI tools is also beneficial.
  • Ability to tackle complex data challenges, with a keen interest in translating quantitative analysis into actionable insights for high-stakes investment decisions.
  • Skilled at explaining technical concepts to both technical and non-technical stakeholders. Proficiency in English is required; French is a plus.
Benefits of Working at SESAMm

Flexibility: Team members can work remotely and have the opportunity to work with colleagues around the world.

Work Environment: SESAMm is multicultural, with technology, sales, and management teams in the US, France, and Tunisia making important contributions to the company’s growth.

Career Development: SESAMm is growing rapidly, creating ongoing opportunities for personal and professional growth. This dynamic environment allows you to shape the company’s culture and evolution.
Professional Development: Work alongside industry-leading experts and gain valuable exposure to advanced AI and ML technologies applied in private equity. This role offers a unique opportunity to deepen your expertise in these cutting-edge applications.
Mentorship & Training: SESAMm provides structured training and mentorship, with a strong emphasis on knowledge-sharing. Internally and externally led training sessions are organized, and we offer access to educational platforms, encouraging you to expand your AI skill set.
Global Perspective: Collaborate with teams based across Europe and the United States, gaining hands-on international experience in a fast-paced, high-impact environment. This global perspective helps broaden your skill set and provides insights into international market dynamics.

Transparency: You will be kept apprised of the company’s continuing evolution and performance through monthly “Ask Me Anything” meetings, frequent business/finance updates, and strategy-sharing discussions.

Well-being: Building a good culture is key to building a good business at SESAMm. We focus on being a learning organization that values and supports teamwork, thoughtfulness, and work/life balance.

Top Skills

Alternative Data
Machine Learning
Natural Language Processing
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The Company
HQ: Paris
115 Employees
Year Founded: 2014

What We Do

SESAMm enables companies to extract critical insights from the internet with AI. We provide ESG, sentiment, and thematic analytics by analyzing over 20 billion articles and messages using natural language processing. Our clients are major private equity firms, asset managers, index providers, and global corporations.

For more information, please contact us at [email protected]

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