Welcome to Pascal G.'s freelance profile!
This freelancer has confirmed full-time availability in the past 7 days.
Location and workplace preferences
- Location
- London, England, United Kingdom
- Can work onsite in your office in
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- around London and 50km
Preferences
- Project length
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- ≤ 1 week
- ≤ 1 month
- Between 1-3 months
- Between 3-6 months
- ≥ 6 months
- Company size
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- 1 person
- 2-10 people
- 11 - 49 people
- 50 - 249 people
- 250 - 999 people
+2 other
Verifications
Freelancer code of conduct signed
Read the Malt code of conduct
Reputation
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Languages
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English
Native or bilingual
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French
Native or bilingual
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Spanish
Conversational
Categories
Skills (22)
- BigData
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- Data Science
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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.
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.
Experience
ZEROSEVEN TECHNOLOGY
Banking & Insurance
Director | Quant Research in NLP, & Alternative data
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.
ACCESS BANK
Banking & Insurance
Head of Data
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.
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.
FIADO
Banking & Insurance
Chief / Head of ML | Senior Advisor
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.
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
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.
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.
theBlueFund
Banking & Insurance
Quantitative Researcher | Alternative Data & Crypto Derivatives
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.
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.
PLESK
Digital & IT
Senior Data Scientist
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.
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
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.
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.
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Education
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Master of Science
UNICE
2011 MSc Computer Science & Decision Science (MIAGE) - Computer Science & Decision Science applied to Business & Management.
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Data Science Graduate Certificate
Harvard
2016 Data Science Graduate Certificate (on-site) - Data Science, Machine Learning & Data Mining, Data Systems via HES (Harvard Extension School). Courses and Lectures from Harvard John A. Paulson School of Engineering and Applied Sciences.