SESAMm is hiring a

Financial Data Scientist (M/F)

Paris, France

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 Financial Data Scientist Role

As a Financial Data Scientist at SESAMm, you will build models and strategies  based on financial and alternative data (with a potential bigger focus on NLP data). You will implement them  in an optimized manner by using powerful algorithms and machine learning technics.

Key Activities

  • Work with large datasets (financial or alternative data) using cutting edge technologies;
  • Extract predictive signals from various data sources through a variety of methods including statistical data analysis, machine learning and time series analysis;
  • Research and develop advanced models and implement new investment ideas;
  • Collaborate with external and internal clients to identify their business needs.

The duties and responsibilities in this job description may evolve with business needs.

Desired Background and Skills

Education

  • Master’s degree in Data Science  with strong IT skills. Financial skills (mainly in company valuation/fundamental analysis and risk management) is a plus for this position.

Experience

  • A first experience in finance (banks, insurers, asset managers etc…)  is a huge plus. 

Skills

  • Very good skills in Python (Numpy, Pandas)
  • Very good knowledge in machine learning is mandatory
  • Experience in financial analysis/companies valuation is a plus
  • Capable of proposing innovative solutions to tough technical challenges
  • Excellent communication skills: communicate insights on data and strategies to the clients
  • Languages: fluent English and an intermediate level of French

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 quickly, which means the opportunities for your own growth are continually expanding, and that you can shape the company’s culture and evolution.

Professional evolution: SESAMm values training and knowledge-sharing. We organize internally and externally led training sessions and pay for access to educational platforms.

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.

Job Specifics

  • Location: Paris
  • Duration: Permanent contract
  • Type of contract: Full time
  • Start Date: As soon as possible

 

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