Skill set (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.
Experience
- ZEROSEVEN TECHNOLOGYDirector | Quant Research in NLP, & Alternative dataBANKING & INSURANCEOctober 2022 - Today (2 years and 7 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.
- ACCESS BANKHead of DataBANKING & INSURANCEDecember 2021 - Today (3 years and 5 months)Lagos, NigeriaJoined 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.
- FIADOChief / Head of ML | Senior AdvisorBANKING & INSURANCEJanuary 2020 - December 2021 (1 year and 11 months)London, United KingdomDesigned 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.
Recommendations
Education
- Master of ScienceUNICE2011MSc Computer Science & Decision Science (MIAGE) - Computer Science & Decision Science applied to Business & Management.
- Data Science Graduate CertificateHarvard2016Data 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.