Data Analyst and Scientist

Who are we?CFI Financial Group is an award-winning trading provider, possessing more than 25 years of experience with multiple offices around the world including London, Larnaca, Beirut, Amman, Dubai, Kuwait, Port Louis, and others. Check out more about CFI here. CFI is hiring! Make your mark in the online trading industry. Are you looking to pursue a career in finance? Do you want to work with a dynamic and growing team in the exciting world of online trading and investing? If you answered yes, then we have some amazing opportunities for you!Description:

We are seeking a highly motivated Data Analyst & Scientist to join CFI Team. In this role, you will leverage data to optimize our user journeys from lead generation to trading and guide our team towards data-driven decision making. Main tasks and responsibilitiesDevelop and improve “traditional” machine learning models (examples classification, regression, and clustering models). Contribute to building AI agents and applications using large language models (LLMs). Work with Retrieval-Augmented Generation (RAG) systems and tools like LangChain. Support the implementation of data pipelines and ML workflows within Databricks. Collaborate with cross-functional teams including data engineering, product, and business stakeholders.

Assist in monitoring model performance. Analyze large datasets to extract actionable insights, validate hypotheses, and support business decision-making. Develop scripts and utilities for data preprocessing, feature engineering, and model evaluation. Help integrate models with APIs and financial data sources. Follow best practices in coding, testing, and documentation. Participate in model and code reviews, ensuring quality and adherence to team standards. Stay current on advancements in AI, LLMs, and data science to propose and evaluate new approaches. Foster a collaborative environment that encourages innovation and knowledge sharing.

Education and ExperienceExpert-level proficiency in classification, regression, boosting, and clustering algorithms including working with ML libraries (like TensorFlow, PyTorch, Scikit-learn, Keras)Familiarity with LLMs and AI agent frameworks (e. g. , LangChain)Hands-on experience in RAG systemsHands-on experience of model communication protocols (MCP) and integration patternsExperience with Databricks or similar ML platformsBasic understanding of MLOps and deploying models into productionProficiency in Python and SQL; knowledge of ETL/ELT processesGood communication skills and ability to work in a teamBachelor’s or master’s degree in computer science, Data Science, or related fieldFamiliarity with real-time data processing and streaming architecturesBonus:

experience in fintech, financial markets, or working with financial APIsWhy join CFI?· We’re a fast-growing, multinational company· Competitive salaries and benefits· Work and learn with industry professions· Supportive and collaborative environment· Unlimited opportunities for growth and development