London, England, United Kingdom
Chief Data Scientist. experienced Quantitative Developer, Data Analytics Manager and AI/ML specialist with a demonstrated history of working in the financial services industry. Skilled in applying Python and R to build Quant. driven AI/ML analytics and data systems to IB's and AM's. Holding a Masters in Science (MSci) in Mathematics and Computer Science from Imperial College London.
2025 focus mainly on delivering Quant/ML/AI models, frameworks and platforms to IBs
Managing AI/ML. data science and some data engineering client engagements with IB's mainly and some AM's. Involved with hands on Python & R development, exploratory data analysis, features engineering, AI/ML model building, building data pre-processing and quality control logic. Working closely with stakeholders: M&A Bankers, FICC Traders, ECM Bankers, Portfolio Managers, ESG Integration Research, Investment Research, Finance, Legal & Compliance, Sales & Marketing. Scoping client solutions, building and managing teams of data scientists, data engineers, DevOps engineers, BI developers, business analysts and QA analysts to deliver AI/ML client mandates. Providing technical support to data scientists and data engineers on Python coding, data analysis, model building and contextual insights generation. Hiring manager for data and technology specialists.
Involved with hands on Python & R development, exploratory data analysis, features engineering, AI/ML model building, algorithmic development, regulatory stress testing, building data pre-processing and quality control logic. Working closely with stakeholders: ECM Bankers, Portfolio Managers, FICC Risk, ESG Integration Research, Investment Research.
Designed and developed strategic and tactical data and quantitative analytics software focusing on risk and control covering Business Banking, Retail, Commercial Banking and Credit Risk. Developed machine learning software that 1) profiles data and provides forecasting using multi-variate linear regression, various decision tree classifications; 2) mined web chats, reports and emails using natural language processing to extract use insights and sentiments via various classification methods. Tech: R, Python, VBA, SQL
Designed and developed strategic and tactical data and quantitative analytics software focusing on risk and control covering securities (FICC and Equities), IMD, IBD, Corporate Banking, Operations and Technology. Tech: Slang, SecDB, Angular JavaScript, R, SQL
Developing & Supporting Cash Equities data anaytics ETL frameworks and tools [C#, VBA, MySQL] Developing web applications and API services for the Markit Environmental Registry [Java Spring/Apache/Tomcat, JS, VBA, SQL SERVER]
Software Development of FICC EMEA trading desk risk management system UI and backend aggregation and anytics API - C#, Java, Oracle SQL Operations - trade bookings, risk management analysis and reporting. Rapid Application Development - risk & PnL real time and on-demand data aggregations and analytics including reporting (VBA, C#, Oracle SQL)