Gabriel Hayat

AI Researcher

France5 yrs 6 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in quantitative research and algorithm development.
  • Proven experience in machine learning and AI applications.
  • Strong background in data analysis and statistical modeling.
Stackforce AI infers this person is a Fintech expert with strong quantitative research and machine learning capabilities.

Contact

Skills

Other Skills

AlgorithmsApache SparkArtificial Intelligence (AI)Big DataCC++CSSComputer VisionData AnalysisData AnalyticsData ScienceDeep LearningEnglishFrenchFunctional Programming

Experience

5 yrs 6 mos
Total Experience
1 yr 4 mos
Average Tenure
1 yr 8 mos
Current Experience

Cubist systematic strategies

Quantitative Research Analyst

Oct 2024Present · 1 yr 8 mos · Paris, Île-de-France, France · On-site

  • Digital Asset Team

Portofino technologies

Quantitative Researcher

Mar 2022Aug 2024 · 2 yrs 5 mos · Zug, Switzerland

  • Alpha Research: Feature generation, employed ensemble techniques for customized target prediction.
  • Pricing Research: Developed a dynamic pricing model for static arbitrage.
  • Simulation Environment: Contributed to the simulation matching engine used in the research framework.

Vontobel asset management

Quantitative Analyst

Aug 2021Mar 2022 · 7 mos · Zurich, Switzerland

  • Quantitative Analyst in Vontobel's Center of Excellence Investments, for the Business Unit Multi Asset in the Department Vescore (Quantitative, model-based investment), Team Research Beta. In this role, the main duties and responsibilities included the following tasks:
  • Maintenance and improvement of existing systematic equity strategies
  • Development of new systematic equity strategies using artificial intelligence
  • Research on portfolio construction by using machine learning methods
  • Support of portfolio management with information regarding trading strategies

Greenteg ag: thermal sensing experts

Data Science Intern

Feb 2020Dec 2020 · 10 mos · Zurich, Switzerland

  • Research and Development - Algorithm Team
  • Internship in greenTEG, working mainly with time-series data. My focus was the development of algorithms used for high-resolution core body temperature tracking, including greenTEG's new product CORE. The development process included the entire machine learning pipeline, namely:
  • Cleaning and filtering raw signals, in the form of time-series data.
  • Architecture of Regression models for continuous time-series predictions.
  • Hyper-parameter model optimization.
  • Evaluation of the model using validation and testing techniques.
  • Deployment of algorithm.

Eth zürich

Teaching Assistant

Sep 2019Feb 2020 · 5 mos · Zurich, Switzerland

  • Deep Learning (Graduate level course). The content of the class included:
  • Backpropagation
  • Theory and applications of the main neural networks (CNNs, RNNs, etc.. )
  • Memory and Attention mechanism
  • Optimization
  • Generative models (VAEs, GANs)

Techspark academy

Cyber Security Instructor

Mar 2019Mar 2019 · 0 mo · Zurich, Switzerland

  • Cybersecurity week-end consisting of mentoring teenagers working on Google's capture the flag beginner's quest.

Epfl (école polytechnique fédérale de lausanne)

Research Assistant

Jul 2018Aug 2018 · 1 mo · Lausanne Area, Switzerland

  • Worked in the Programming Methods Laboratory (LAMP) under the supervision of Pr. Viktor Kuncak on a functional programming verification tool called Stainless.

Education

Massachusetts Institute of Technology

Master's thesis — Computer Science

Feb 2021Aug 2021

ETH Zürich

Master's degree — Computer Science

Jan 2018Jan 2020

University of Illinois Urbana-Champaign

Bachelor's degree Exchange Programme — Computer Science

Jan 2017Jan 2018

EPFL

Bachelor's degree — Communication Systems

Jan 2015Jan 2018

EPFL

Cours de Mathématiques Spéciales

Jan 2014Jan 2015

International School of Lausanne

International Baccalaureate

Jan 2007Jan 2014

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