AI Senior, SESAMm
Financial Engineer Role
Big data & artificial intelligence for investment firms
Be an early applicant
Big data & artificial intelligence for investment firms
21-100 employees
Be an early applicant
21-100 employees
Company mission
To empower investment professionals with highly modular AI platforms.
Role
Who you are
- Master’s degree in AI, Data Science, or a related field
- 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
- 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
What the job involves
- 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
- 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
Our take
The investment industry is rapidly evolving, the democratisation of Artificial Intelligence and the tremendous amount of alternative data presents opportunities and challenges. With regards to web data, there is a huge and growing corpus of unstructured content online in hundreds of different languages, which requires increasingly sophisticated Natural Language technologies to extract valuable insights on public and private companies.
SESAMm have developed a modular Natural Language Processing Platform which enables data scientists and investment professionals to generate insights and analytics from a huge data-lake of 20B web-based articles and messages. It covers more than 5M entities and insights can be delivered via an API, web-based dashboards, or pre-processed daily data feeds.
The result is that SESAMm's software turns big data into smart data to give users, typically major hedge funds, banks, and asset managers, a competitive advantage with which to manage assets. Such clients include Carlyle, MUFG and Nomura.
Steph
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Mar 2023
$41.5m
SERIES B
Jan 2021
$8.9m
SERIES B
Total funding: $59.6m
Company HQ
Saint-Georges, Paris, France
Leadership
Florian Aubry
(Co-Founder & CTO)Studied Mechatronics at INSA de Strasbourg before co-founding SESAMm.
Pierre Rinaldi
(Co-Founder & COO)They hold a Master's degree in Corporate Finance from Burgundy School of Business.
Sylvain Forté
(Co-Founder & CEO)They hold a Master's degree in Engineering from the University of INSA Strasbourg.
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