Quant AI Specialist

About the Company

Our client is a globally regulated financial services group with a significant footprint in international markets. They offer online trading and investment services including Forex, CFDs, commodities, indices, equities, and digital assets. The company is investing extensively in Artificial Intelligence, data transformation, automation, and advanced analytics to enhance customer experience, operational efficiency, risk awareness, and strategic decision-making.

Role Overview

We are looking for a Quant AI Specialist who will leverage quantitative research, machine learning, and AI techniques to address complex challenges in trading, risk management, pricing, and market analytics. This position requires integrating deep financial markets knowledge with modern AI methods to develop predictive models, trading intelligence tools, and advanced analytics supporting key business decisions. A comprehensive understanding of market dynamics, quantitative modeling, and practical AI application in electronic trading is essential.

Key Responsibilities

• Develop quantitative models analyzing market behavior, liquidity trends, price changes, and trading activity.
• Conduct in-depth research on market microstructure, execution performance, client behavior, and trading outcomes.
• Design predictive analytics models for volatility forecasting, market regime identification, and trading analysis.
• Identify data-driven opportunities to enhance trading performance and efficiency.
• Apply machine learning algorithms to tasks such as forecasting, anomaly detection, client behavior analysis, and market intelligence.
• Create AI-powered models for market prediction, liquidity demand forecasting, and behavioral insights.
• Build statistical and ML frameworks to recognize unusual trading patterns and operational risks.
• Assess and deploy Large Language Models (LLMs) and cutting-edge AI technologies to automate research and aid decision-making.
• Develop quantitative systems for exposure tracking, profitability assessment, and risk forecasting.
• Support the improvement of pricing, execution, and hedging through advanced analytics.
• Deliver actionable insights and recommendations based on thorough quantitative research.
• Work closely with business and technology teams to find avenues for AI-led innovation.
• Present complex research findings and model evaluations to senior leadership clearly.
• Translate sophisticated quantitative concepts into actionable business strategies.

Technical Skills and Knowledge

• Proficiency in Python programming focused on quantitative analysis and machine learning.
• Experience with ML frameworks such as Scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Strong foundation in statistical modeling, time-series techniques, forecasting, and predictive analytics.
• Hands-on experience with financial market data, trading datasets, or extensive transactional data.
• Advanced SQL and data manipulation capabilities.
• Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI-fueled analytics.
• Familiarity with data visualization and reporting tools.

Qualifications and Experience

• Bachelor's or Master's degree in Quantitative Finance, Mathematics, Statistics, Data Science, Computer Science, Economics, or related fields.
• Between 4 and 8 years of experience in quantitative analysis, trading analytics, financial data science, or quantitative research.
• Thorough understanding of financial markets, trading processes, market structures, and risk management.
• Experience in brokerage, Forex, CFDs, cryptocurrencies, institutional trading, market-making, or fintech sectors is highly advantageous.
• Excellent analytical abilities, communication skills, and problem-solving aptitude.