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Pascal G. Bernard

Senior Data Scientist | Quant researcher

Can work in or around London

  • 51.509648
  • -0.099076
  • Suggested rate €800 / day
  • Experience 7+ years
Propose a project The project will begin once you accept Pascal G.'s quote.

This freelancer has confirmed full-time availability in the past 7 days.

Propose a project The project will begin once you accept Pascal G.'s quote.

Location and workplace preferences

London, England, United Kingdom
Can work onsite in your office in
  • around London and 50km


Project length
  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months
  • Between 3-6 months
  • ≥ 6 months
Company size
  • 1 person
  • 2-10 people
  • 11 - 49 people
  • 50 - 249 people
  • 250 - 999 people
+2 other


Freelancer code of conduct signed
Read the Malt code of conduct

Verified email



  • English

    Native or bilingual

  • French

    Native or bilingual

  • Spanish



Skills (22)

Pascal G. in a few words

Business and technical data leader with more than 15 years of international and multi-sector experience in banking and finance, quantitative research in alternative data, oil and gas, legal, and software engineering. I offer unique expertise in Data Science, from AI/Machine Learning to data & analytics engineering at a large scale, cloud data architecture, data strategy and governance, data transformation and innovation, as well as management and recruitment. Additionally, I have been providing expertise and AI/ML consulting services in FX, indices, and crypto derivatives trading for a non-profit quantitative hedge fund based in Australia for six years.

I am a strategic thinker for complex problem-solving, with a unique understanding of business and a strong leadership and entrepreneurship mindset. My goal is to elevate data-driven processes and quantitative thinking by serving as an evangelist for applied artificial intelligence, digital/data-driven transformation, and decision intelligence. I am looking for contracts mainly in the UK.



Banking & Insurance

Director | Quant Research in NLP, & Alternative data

October 2022 - Today (5 months)

ZEROSEVEN Technology aims of making systematic trading accessible for more traders. The goals since day 1 was to reimagine what it means to use quantitative trading tools, cloud architecture solutions, automation, AI/machine learning strategies, and advanced risk management frameworks, by making simple and easy-to-use financial products known to be complex - I am also working in the hedge fund division, and providing consulting services in research and development on RL, LSTM and Transformers (OpenAI ChatGPT core's algo) algorithms in crypto-quantitative trading.


Banking & Insurance

Head of Data

Lagos, Nigeria

December 2021 - Today (1 year and 3 months)

Joined Access Bank in 2021, the largest bank in Africa by customer base (+45 million), appointed to the digital lending subsidiary. I am responsible for establishing the global data strategy around the quantitative research around alternative data, designing the new data architecture, deploying the Machine Learning scoring models and scorecards (retail and SME), and supervising the data science, data engineering, and BI roadmap and execution. In addition, I oversee end-to-end data transformation, analytics, and data visualisation tools, and strive to converge analytics and software engineering resources towards an analytics engineering culture.

Beyond these specific missions, my objective is to spread my vision and expertise to initiate, support, and operationalize data-driven transformation. I aim to define and conduct a strategy to deploy the Machine Learning scoring engine in 14 other countries, and offer African the fintech industry the biggest Lending as a Service (LaaS) in the continent.

Conduct analysis and research focused on alternative data, such as smartphone data, mobile money and telco data, on top of traditional data like transaction and card data. I also work on NLP/NLU frameworks applied to smartphone data.
In charge of the fraud detection and prevention engine development.
Manage the recruitment and operations of the data science, data engineering, and BI teams - a team of 35 people.


Banking & Insurance

Chief / Head of ML | Senior Advisor

London, England, United Kingdom

January 2020 - December 2021 (1 year and 11 months)

Designed and deployed the ML credit scoring & digital lending framework for the Fiado, leading lending fintech based in El Salvador (1st country where the financial sector has lately been the object of a unique financial innovation : cryptocurrency adoption of Bitcoin as a legal tender).

Analysis of blockchain data transactions from Chivo (BTC wallet), as well as P2P networks.
Proposed, prototyped and designed hybrid Machine Learning scorecards based on alternative & traditional data, as well as credit bureau data.

CARBON - Logistic Low carbon

Banking & Insurance

Head of Data Science

London, England, United Kingdom

January 2018 - January 2020 (2 years)

Managed the data science & engineering departments from the London-based mgmt office. I contributed to transforming CARBON into a leading fintech in digital lending and financial services with more than 10,000 automated loans disbursed per day .

Influenced and provided expertise by establishing the modelling, data strategy and data governance roadmap. My mission consisted in bridging the gap between all business units, designing the credit scoring models (using ML, NLP/NLU, and hybrid/rule-based methods), as well as the fraud prevention/detection engine using the graph database technology, and deploying the decision engine using alternative data and behavioural data science.

ETL end-to-end data pipelines, credit and risk modelling (from design to deployment), data architecture and warehousing. CRM, behaviour and insurance analytics, and the single customer view.


Banking & Insurance

Quantitative Researcher | Alternative Data & Crypto Derivatives

March 2017 - Today (6 years)

Prototyped, built and deployed ML/Rule-based/hybrid trading strategies in FX, indices and crypto derivatives markets.

Development and deployment of GBM, XGBoost, Reinforcement Learning algorithms for crypto and FX trading.

Research and prototype Transformers algorithms for trading strategies.
Developed bespoke backtests and offline/online ML trading engine solutions.


Digital & IT

Senior Data Scientist

Barcelona, CT, Spain

January 2016 - January 2018 (2 years)

Plesk is the leading WebOps platform and control panel to run, automate and grow applications, websites and hosting businesses, managing and securing more than 11 million websites and 385,000 servers. I was In charge of the data science and engineering roadmap within the marketing department.

Predictive modeling focused on churn prediction, CLV, and advanced customer segmentation. Churn prediction and predictive models to define what product customers are likely to buy next.

Designed and developed the single customer view.
Redesign of the ETL pipelines, and development of the data warehouse.

SBM Offshore

Energy & Utilities

Legal Data Architect

Monaco, Monaco

January 2009 - June 2015 (6 years and 5 months)

Responsible for the data architecture and warehousing at the Legal, Finance and Compliance departments within SBM Offshore, a leading supplier of offshore oil and gas production units.

Design and deployment of data analysis & data mining tools for fraud, anomaly and corruption detection. Collaboration with the AML internal finance audit.
Data investigation, data processing, and entity recognition. Deployment of NLU agents for automating the understanding and the classification of legal and engineering documents.
Automated the classification of the legal documents for the finance and compliance departments.

Architecture and pipelines of the Data Warehouse.
Forensics data analytics.