Data Science and Quantitative Business Analyst (AI)

TL;DR

Data Science and Quantitative Business Analyst (AI, Fintech): Developing and implementing data models, predictive analytics, and AI/ML solutions for financial markets with an accent on optimizing business outcomes, trading, and risk management. Focus on analyzing complex datasets in commodities and FIFX markets, building machine learning algorithms for forecasting, and translating insights into strategic decision-making.

Location: Hybrid working model in Paris, France

Company

hirify.global is a leading global financial markets infrastructure and data provider, empowering economies and enabling customers to create sustainable growth.

What you will do

• Develop and implement data models, predictive analytics, and frameworks to support trading and risk management.
• Analyze commodities, FIFX market data, and other datasets to identify trends and opportunities.
• Build and deploy machine learning algorithms and AI solutions for forecasting, anomaly detection, and optimization.
• Collaborate with business partners to translate complex data insights into strategies.
• Present findings through visualizations, dashboards, and business reports.
• Ensure data integrity and compliance with regulatory standards, including ESG considerations.

Requirements

• Education in Data Science, Quantitative Finance, Statistics, Mathematics, or Computer Science.
• Strong proficiency in Python, R, or SQL for data analysis and modelling.
• Experience with machine learning frameworks.
• Good understanding of data modelling, statistical analysis, and predictive modelling.
• Deep understanding of commodities markets, FIFX, ETC, and financial instruments.
• Knowledge of risk management, pricing models, and quantitative finance.

Nice to have

• Understanding of ESG principles.
• Contribution to research and development on Islamic finance and balanced investment analytics.

Culture & Benefits

• Collaborative and creative culture that encourages new ideas.
• Commitment to diversity, equity, and inclusion.
• Range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
• Commitment to sustainability across global business.
• Hybrid working model.