Fabrice Daniel
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Fabrice Daniel Email & Phone Number

Head of AI Department at LUSIS
Location: Paris, ÎLe-De-France, France 8 work roles 1 school
1 work email found @lusis.fr LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

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Work email f****@lusis.fr
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Current company
Role
Head of AI Department
Location
Paris, ÎLe-De-France, France
Company size

Who is Fabrice Daniel? Overview

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Quick answer

Fabrice Daniel is listed as Head of AI Department at LUSIS, a with 121 employees, based in Paris, ÎLe-De-France, France. AeroLeads shows a work email signal at lusis.fr and a matched LinkedIn profile for Fabrice Daniel.

Fabrice Daniel previously worked as Head of Financial Technology Department at Lusis and Project Manager at Lusis. Fabrice Daniel holds Engineer'S Degree, Microprocessor, Microelectronic, Computer Science With Speciality In Artificial Intelligence from Le Mans Université.

Company email context

Email format at LUSIS

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{first}.{last}@lusis.fr
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Profile bio

About Fabrice Daniel

Manage a Research department in Machine Learning application to the Business domains covered by the company, including mainly:- AI Based automated Trading Strategies- Credit Card Fraud detection- Music Recommender SystemsWe also built a strong long term relationship with CentraleSupelec and Polytechnique, providing great AI research projects to student teams every year since 2012.In 2019 CentraleSupelec and Lusis have signed off a Research University Chair for 4 years, with 2 PhDs, 3 Professors, 30 students and 5 AI Lusis team to drive research, provide datasets, frameworks and business knowledge. The research we are conducting in this chair are focused on two subjects:1- Trading strategies : Make predictions on stochastic processes. While the models will be built on financial market predictions, it’s expected to be applicable to any other stochastic processes2- Credit card fraud : Explainability of Deep Learning models in the context of credit card fraud detectionFor 2019/2020 we also have 21 students in 4 teams from CentraleSupelec and 3 teams from Polytechnique working on the following subjects:- Predict price direction with Convolutional Networks- Learn trading strategy with deep reinforcement learning- Credit card fraud detection with deep learning- Apply graph based machine learning to credit card fraud detection- Explainability of Deep Learning based models for credit card fraud detection- Create a metric reflecting the real expected performances of a market direction predictor- Determine the similarity of two musics from their sound data by using unsupervised approachesIn 2020 two interns from Polytechnique are working on AI subjects relative to trading strategies:- Use Machine Learning to optimize trade exit inside the prediction horizon of existing AI based trading strategies running in production- Use Machine Learning to optimize a portfolio of existing AI based trading strategies running in productionTwo other interns from CentraleSupelec and Telecom Nancy are working on AI for music recommender subject:- Music similarity from sound spectrograms- Neural collaborative filteringIf you have any concern with applied AI in your company, feel free to contact me on LinkedIn.

Listed skills include Deep Learning, Data Science, Trading Systems, Machine Learning, and 21 others.

Current workplace

Fabrice Daniel's current company

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LUSIS
Lusis
Head of AI Department
paris, île-de-france, france
Employees
121
AeroLeads page
8 roles · 31 years

Fabrice Daniel work experience

A career timeline built from the work history available for this profile.

Head Of Ai Department

Current

Paris

Manage a Research Team in Machine Learning application to the Business domains covered by the company- Conduct Research with lusis team and universities- Train and Explore new methods and technologies (research articles, mathematical theory, frameworks, ...)- Application to production systems In 2019 CentraleSupelec and Lusis have signed off a Research University Chair for 4 years, with 2 PhDs, 3 Professors, 30 students and 5 AI Lusis team to drive research, provide datasets, frameworks and business knowledge. The two domains covered by the chair are : - Trading strategies- Fraud fightingSome of the research projects handled by our team, mainly with Deep Learning:- Predictions of market trend direction- Trading strategies portfolio optimization- Learning full trading strategies with deep reinforcement learning- Time-series patterns extraction and classifications- Recognition of patterns on market time-series- Music Recommender System for Selling and Streaming- Credit card fraud detection- Production of Sentiment Indicators (Natural Language Processing)- Translating any "SMS – like" quick instruction into formal ones that can be processed by a software- Optimizing the selection of customers to be taken in book- Improved schedule predictions on European freight

Jun 2017 - Present

Head Of Financial Technology Department

Paris

Several Front to Back Brokerage Platforms for FX, Futures, Equities, CFDs, SpreadBet- Project Management- Business Proposals/Negotiations- Features Design and Functional Specifications- Functional and Technical Advising- Negotiate and organize production operations and SLA2006 : FX, CFD, Equities, Futures trading platform for a Bank in Switzerland2011 : FX Trading Platform for a UK FX Broker2010 : FX Market Maker Platform for a Bank in Belgium and Luxemburg2012 : FX, CFDs, SpreadBet Trading Platform and Asset Management Platform for a major Broker in UAEPlatform directly connected to more than 60 LPs including : Goldman Sachs, CITI, Deutsche Bank, BankOfAmerica, Nomura, JP Morgan, HSBC, BNP, Société Générale, Barclays, Standard Chartered, CommerzBank, State Street, UBS, Crédit Suisse, Royal Bank of Scotland + a variety of non bank liquidity providers (Hotspot, Fastmatch, Integral, Lucera... )Connections to post trade notification systems : 360T, MarkitServ, Traiana, RTNS

2006 - May 2017

Project Manager

Paris

Front to Back Trading Platform on FX and Futures for an Irish Broker

2004 - 2005 ~1 yr

Consultant

Gestitres : Risk management expertise for an online equity brokerage platform

2003 - 2004 ~1 yr

Consultant

Oza

Aurel Leven : Capture Functional Expertise of a derivative trading and market making platform (mainly on options)Filinks : FIX OMS design and integration recommendation

2001 - 2002 ~1 yr

Consultant

Oza

Natexis Capital : Design a new OMS managing the FIX International Order Routing

2000 - 2001 ~1 yr

R&D Consultant

Oza

Sagem : Research on advanced systems in a R&D unit

1998 - 1999 ~1 yr

Consultant

Oza

SNCF : Develop new features related to new commercial offers for train ticket machines

1996 - 1997 ~1 yr
Team & coworkers

Colleagues at LUSIS

Other employees you can reach at lusispayments.com. View company contacts for 121 employees →

1 education record

Fabrice Daniel education

  • Le Mans Université
    Microprocessor, Microelectronic, Computer Science With Speciality In Artificial Intelligence
FAQ

Frequently asked questions about Fabrice Daniel

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What company does Fabrice Daniel work for?

Fabrice Daniel works for LUSIS.

What is Fabrice Daniel's role at LUSIS?

Fabrice Daniel is listed as Head of AI Department at LUSIS.

What is Fabrice Daniel's email address?

AeroLeads has found 1 work email signal at @lusis.fr for Fabrice Daniel at LUSIS.

Where is Fabrice Daniel based?

Fabrice Daniel is based in Paris, ÎLe-De-France, France while working with LUSIS.

What companies has Fabrice Daniel worked for?

Fabrice Daniel has worked for Lusis and Oza.

Who are Fabrice Daniel's colleagues at LUSIS?

Fabrice Daniel's colleagues at LUSIS include Thibaut Gambin, Denis Lasalle, Chléo Proeschel, Alex Curlat, and Kaïs Kingongo.

How can I contact Fabrice Daniel?

You can use AeroLeads to view verified contact signals for Fabrice Daniel at LUSIS, including work email, phone, and LinkedIn data when available.

What schools did Fabrice Daniel attend?

Fabrice Daniel holds Engineer'S Degree, Microprocessor, Microelectronic, Computer Science With Speciality In Artificial Intelligence from Le Mans Université.

What skills is Fabrice Daniel known for?

Fabrice Daniel is listed with skills including Deep Learning, Data Science, Trading Systems, Machine Learning, Project Management, Financial Risk, Data Mining, and Statistical Data Analysis.

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