SESAMm

👥 101-250💰 $37,339,626 Series B about 2 years agoArtificial Intelligence (AI)Impact InvestingSustainabilityPredictive AnalyticsMachine LearningFinanceAsset ManagementAnalyticsData VisualizationFinTech💼 Private Company
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SESAMm is a leading fintech company leveraging big data and AI to revolutionize investment strategies. We build cutting-edge analytics and investment signals by processing billions of web articles and messages using Natural Language Processing (NLP) and machine learning. Our platforms, TextReveal and SignalReveal, provide comprehensive alpha research solutions for major hedge funds, banks, and asset management firms worldwide. We're a global team with offices across Paris, New York, Tokyo, Tunis, the UK, and Metz, collaborating to deliver both fundamental and quantitative insights. We empower our clients to make data-driven investment decisions and manage risk effectively. Our technology stack incorporates a robust blend of cutting-edge technologies, including NLP and machine learning algorithms at the core of our platforms. We maintain a collaborative engineering culture, prioritizing innovation and continuous learning. We use technologies such as Python for development and employ tools like Powerpoint, Excel, and Google Suite for data visualization and communication. Our commitment to remote work flexibility and global collaboration allows team members to leverage diverse skillsets and perspectives. We are proud of our strong team spirit and value a diverse, inclusive, and horizontal work environment. SESAMm has experienced significant growth since its founding in 2014, securing significant Series B funding. Our success is driven by a talented team and a commitment to delivering high-impact solutions for our clients. We’re constantly expanding our capabilities and offer opportunities for career growth and professional development within a dynamic and fast-paced fintech environment. We’ve been recognized by several industry publications for our innovations in AI-driven financial services. Our team culture is rooted in collaboration, support, and a shared passion for pushing boundaries. We prioritize continuous learning and offer both internal and external training opportunities, reflecting our commitment to supporting each team member’s growth and development.

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🔥 NLP/ML Engineer (M/F)
Posted 22 days ago

🔍 NLP/ML

  • Strong expertise in Python programming (including Object-Oriented Programming best practices).
  • Proficiency with common Machine Learning and NLP libraries (e.g., NumPy, Pandas, Scikit-Learn, PyTorch/TensorFlow, Hugging Face Transformers, SpaCy).
  • Solid understanding of core Machine Learning concepts (supervised & unsupervised learning, deep learning principles).
  • Experience implementing, training, fine-tuning, and evaluating NLP models and Large Language Models (e.g., GPT-based models, BERT, sequence-to-sequence models). Understanding of techniques like prompt engineering or RAG is beneficial.
  • Good grasp of data processing and feature engineering techniques tailored for textual data.
  • Fundamental statistical knowledge for result interpretation and model evaluation.
  • Design, implement, and refine algorithms and models to process, understand, and generate human language from large datasets.
  • Prepare, clean, and structure complex textual data; engineer relevant features to optimize model performance for specific NLP tasks.
  • Leverage, adapt, and fine-tune state-of-the-art machine learning models, with a strong emphasis on Large Language Model (LLM) applications.
  • Utilize, test, and benchmark relevant frameworks, libraries, and tools (e.g., Hugging Face, PyTorch/TensorFlow, SpaCy) for NLP and ML tasks. Identify and experiment with novel approaches.
  • Build prototypes, conduct evaluations, and rigorously assess the effectiveness and suitability of developed solutions.
  • Document methodologies, findings, and technical specifications. Present results and insights to technical and non-technical stakeholders.
Posted 22 days ago
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🔥 Sales Engineer Apprentice (M/F)
Posted about 1 month ago

🧭 Internship

🔍 Financial Services

  • Master degree ideally finance/economics related, or Engineering degree, giving access to an apprenticeship opportunity
  • A first internship experience, ideally in a financial institution
  • Capable of understanding and articulating technology value propositions
  • Ability to tie business problems to technical solutions
  • Excellent communication and relationship skills: communicate with clients, understand their needs and issues, collaborate with internal teams
  • Fluent English speaker with good writing skills
  • Assess technical needs of clients in collaboration with our engineering teams and create relevant offerings
  • Create and deliver dataset and all supporting documentation to clients during the commercial discussions
  • Respond to functional and technical elements of RFIs/RFPs
  • Transfer and clearly express customer requirements to engineering teams
  • Remain knowledgeable and up-to-date on changes and developments on our technologies and products
  • Provide relevant feedback and propose functional improvements to our products
  • Collaborate with Marketing to create impactful documents including technical information about our products
  • Develop and improve Sales Engineering processes
  • Participate in impactful product demonstrations that tell a compelling story and help steer customers to a commercial relationship
  • Assisting the account management team in ensuring client satisfaction
Posted about 1 month ago
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📍 Paris/Metz

🧭 Internship

🔍 ESG controversy data

  • Good knowledge of Excel / Google Spreadsheets is a must
  • Strong English proficiency is a must. French proficiency is desirable.
  • Excellent project management skills
  • Good people coordination. Clear, thoughtful communicator (verbal and written) with strong interpersonal skills
  • Metrics-driven with strong analytical skills
  • Resourceful - has the ability to find solutions to daily challenges
  • Ability to consistently set and meet deadlines
  • Basic marketing skills and knowledge
  • Basic knowledge of finance and the financial industry is a plus
  • Manage the full event lifecycle, from sourcing and planning to coordination, communication, and post-event analysis.
  • Oversee event logistics, ensuring timely execution (planning, shipping materials, managing communications, etc.).
  • Maintain clear and timely communication with all involved parties.
  • Track, measure, and report key performance indicators (KPIs) to assess event success.
  • Support visual branding for events (e.g., invitations, booth signage, presentation slides, and social media posts) using tools like Canva.
  • Support the sales team in planning and organizing small local events for prospects and clients.
  • Assist in designing promotional materials or visual assets to enhance event engagement when needed.
  • Help create visually appealing event collateral, including banners, flyers, and presentations, using Canva or similar tools.
  • Collaborate with the marketing team to align event visuals with branding guidelines.
  • Contribute creative ideas for event branding, booth designs, or social media content related to events.
  • Track and manage event budgets, ensuring accurate expense reporting and cost control.

Project ManagementCommunication SkillsAnalytical SkillsMicrosoft ExcelMarketingEnglish communicationBudget management

Posted 2 months ago
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