Abbas Ibrahiam
@abbasibrahiam
AI trainer and quantitative finance expert with a passion for problem-solving.
What I'm looking for
I began my career as a physics teacher, where I honed my ability to break down complex problems and communicate them effectively. Transitioning into quantitative finance, I specialized in risk management, volatility modeling, and algorithmic trading strategies. My experience in these areas has equipped me with a strong analytical foundation, allowing me to tackle sophisticated models and real-time market data with confidence.
Recently, I have ventured into AI training, which has sparked a genuine interest in understanding how AI systems approach problem-solving. My role has involved working on specialized projects in mathematics, physics, and finance, where I identified critical limitations in AI model reasoning. I am eager to deepen my knowledge in AI and large language models (LLMs), as I believe this rapidly evolving field aligns perfectly with my analytical background and curiosity about machine learning.
Experience
Work history, roles, and key accomplishments
AI Trainer
DataAnnotation
Apr 2025 - Present (3 months)
Worked on three specialised projects covering mathematics, physics, and finance, discovering significant limitations in AI model reasoning across technical domains. Operated with minimal guidance, requiring independent investigation of model limitations by developing test cases based on common problems researchers face in everyday practice.
Co-founder
QED Capital
Aug 2023 - Present (1 year 11 months)
Built options overlay to determine longer term cycles and direction for the S&P 500 by analysing vega and vanna exposure of market makers and classifying options flow as customer or dealer originated. Developed comprehensive Python programming solutions for backtesting frameworks, leveraging pandas for data manipulation, scikit learn for machine learning models, and advanced mathematical libraries
Risk Manager
Helios Capital
Jan 2021 - Present (4 years 6 months)
Utilised advanced volatility forecasting models, such as Heston and Ornstein Uhlenbeck (OU) processes, to accurately predict price range movements in the S&P 500 Index. Executed trades at optimal turning points by leveraging real time order flow analysis, significantly enhancing profit margins.
Junior Quantitative Developer
Senrigan Capital
Jul 2018 - Present (7 years)
Developed market maker models to classify options flow, determining whether trades originated from dealers or customers to optimise pricing and execution strategies. Implemented GARCH models for volatility forecasting, enhancing the accuracy of options pricing and risk management decisions.
Physics Teacher
Hong Kong TBJI Secondary School
Jul 2016 - Present (9 years)
Delivered A-Level and first year university preparatory physics courses tailored for advanced students. Developed innovative teaching methodologies to explain complex physics concepts, improving student comprehension and exam performance.
Education
Degrees, certifications, and relevant coursework
The University of York
Bachelor of Science, Theoretical Physics
Grade: 2:1
Achieved a 2:1 in Theoretical Physics, focusing on advanced concepts and mathematical modeling. Completed a thesis on 'Modelling the measurement paradox in “quasi macro” quantum systems'.
St Josephs College
A-Levels, Mathematics and Physics
Grade: AAB
Achieved AAB grades in Maths, Physics, and Further Maths. Also obtained 10 A grades in GCSEs, including Maths, English, and Science.
Availability
Location
Authorized to work in
Job categories
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