Quant AI Specialist
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Key skills for this role
About the Role
MultiBank Group seeks a Quant AI Specialist to apply quantitative research, machine learning, and AI to trading, risk management, and market analytics. The role requires expertise in financial markets, predictive modeling, and AI methodologies to develop trading intelligence solutions.
Key Skills for This Role
Responsibilities
- Develop quantitative models to analyze market behavior, liquidity patterns, price movements, and trading activity
- Conduct research on market microstructure, execution quality, client behavior, and trading performance
- Design predictive models for volatility forecasting, market regime detection, and trading activity analysis
- Apply machine learning algorithms to forecasting, anomaly detection, client analytics, and market intelligence use cases
- Develop AI driven models for market prediction, liquidity demand forecasting, and behavioral analysis
- Build statistical and machine learning frameworks to detect unusual trading patterns and operational risks
- Evaluate and implement Large Language Models (LLMs) and AI technologies for research automation and decision support
- Develop quantitative frameworks for exposure monitoring, profitability analysis, and risk forecasting
- Support pricing, execution, and hedging optimization through advanced analytics
- Collaborate with business and technology stakeholders to identify opportunities for AI driven innovation
Requirements
- Bachelor's or Master's degree in Quantitative Finance, Mathematics, Statistics, Data Science, Computer Science, Economics, or related field
- 4–8 years of experience in quantitative analysis, trading analytics, financial data science, or quantitative research
- Strong understanding of financial markets, trading workflows, market structure, and risk management
- Advanced Python programming skills for quantitative analysis and machine learning
- Experience with machine learning frameworks such as Scikit learn, XGBoost, TensorFlow, or PyTorch
- Strong SQL and data analysis skills
- Experience within brokerage, FX, CFDs, crypto, institutional trading, market making, or fintech environments is highly desirable
Full Job Posting
Role Overview
- We are seeking a Quant AI Specialist to apply quantitative research, machine learning, and artificial intelligence techniques to solve complex trading, risk management, pricing, and market analytics challenges.
- The successful candidate will combine expertise in financial markets with modern AI methodologies to develop predictive models, trading intelligence solutions, and advanced analytics that support business decision making.
Key Responsibilities
- Develop quantitative models to analyze market behavior, liquidity patterns, price movements, and trading activity.
- Conduct research on market microstructure, execution quality, client behavior, and trading performance.
- Design predictive models for volatility forecasting, market regime detection, and trading activity analysis.
- Identify opportunities to improve trading performance through data driven insights and quantitative techniques.
- Apply machine learning algorithms to forecasting, anomaly detection, client analytics, and market intelligence use cases.
- Develop AI driven models for market prediction, liquidity demand forecasting, and behavioral analysis.
- Build statistical and machine learning frameworks to detect unusual trading patterns and operational risks.
- Evaluate and implement Large Language Models (LLMs) and AI technologies for research automation and decision support.
- Develop quantitative frameworks for exposure monitoring, profitability analysis, and risk forecasting.
- Support pricing, execution, and hedging optimization through advanced analytics.
- Produce actionable insights and recommendations based on quantitative research findings.
- Collaborate with business and technology stakeholders to identify opportunities for AI driven innovation.
Technical Requirements
- Advanced Python programming skills for quantitative analysis and machine learning.
- Experience with machine learning frameworks such as Scikit learn, XGBoost, TensorFlow, or PyTorch.
- Strong understanding of statistical modeling, time series analysis, forecasting, and predictive analytics.
- Experience working with financial market data, trading datasets, or large scale transactional data.
- Strong SQL and data analysis skills.
- Familiarity with LLMs, Retrieval Augmented Generation (RAG), and AI assisted analytics.
- Experience with data visualization and reporting tools.
Qualifications
- Bachelor's or Master's degree in Quantitative Finance, Mathematics, Statistics, Data Science, Computer Science, Economics, or a related field.
- 4–8 years of experience in quantitative analysis, trading analytics, financial data science, or quantitative research.
- Strong understanding of financial markets, trading workflows, market structure, and risk management.
- Experience within brokerage, FX, CFDs, crypto, institutional trading, market making, or fintech environments is highly desirable.
- Excellent analytical, communication, and problem solving skills.
Why Join Us?
- Work with an industry leading global financial institution.
- Competitive salary and comprehensive employee benefits.
- Opportunities for professional growth and career advancement.
- Collaborative, inclusive, and dynamic work environment.
- Commitment to innovation and professional excellence.
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