FX & IR Quantitative Researcher – Financial Risk Management (H/F)

ArcelorMittal is a leading steel producer with a worldwide footprint and annual sales reaching ~$80bn a year. Guided by a philosophy to produce safe, sustainable steel, it is the leading supplier of quality steel products in all major markets including automotive, construction, household appliances and packaging. ArcelorMittal operates in 60 countries and employs ~170 000 people worldwide.

Within Corporate functions, ArcelorMittal Treasury is the central treasury of the Group, acting as the internal bank of the Group, facing financial markets to deal with all corporate finance and price risk management matters. Scope of assets under management, number of subsidiaries managed by Treasury and structure of the cash pooling make AM Treasury one of the most elaborate and sophisticated corporate treasuries.

Within the Financial Risk Management Department, Risk Assessment and Measurement team (RAM) is in charge of i) providing appropriate quantitative analysis of the market and /or financial structures for risk management purpose, ii) to develop financial models to analyse market price evolution, for pricing/accounting purpose and for elaborating trading strategies supporting financial optimisation, and iii) analysing and monitoring the exposure at-risk the Group is bearing through its industrial and financial operations.

As a FX & IR Quantitative Researcher within the Risk Assessment and Measurment (RAM) team, you will play a pivotal role in developing advanced quantitative models, optimizing trading strategies, and enhancing risk management processes with a focus on FX & IR. Your role will emphasize financial modeling, strategic risk assessment, and the creation of sophisticated tools to support trading and hedging activities in FX & IR markets.

Responsibilities:

• Trader Collaboration: Work closely with traders to create tools and models that enhance their insights through quantitative analysis and conduct specific studies to support trading/hedging ideas
• Model Development and Refinement: Lead the development and refinement of complex financial models for pricing, simulation, and risk management across FX & IR
• Trading Ideas Creation: Generate innovative trading ideas using quantitative analysis to identify market opportunities and enhance trading strategies
• Statistical Arbitrage Strategies: Develop and implement strategies to exploit pricing inefficiencies in FX & IR markets by analyzing data, creating models, and optimizing risk-adjusted returns
• Trend Analysis: Analyze seasonal patterns and long-term trends in FX & IR markets to inform trading and hedging decisions
• Volatility Book: Design tools and models to develop volatility book activities (sensitivities, position management, etc.) and actively participate in developing the topic and related ideas
• Quantitative Daily Activities: Actively participate in treasury tasks (reports, documentation etc) and other quantitative topics as they emerge, collaborating with various teams and addressing diverse subjects such as tax, accounting, front office, and financing
• Business Understanding: Understand the global context of steel production to define and derive appropriate trading and hedging strategies linking financial and physical flows
• Technical Environment Enhancement: Collaborate with data scientists, traders, and IT professionals to improve and enhance the technical environment, incorporating new technologies
• Mentorship and Guidance: Mentor and guide junior analysts, fostering a culture of continuous learning and improvement
• Database Enhancement and Documentation: Improve our databases' data and schema within the Databricks environment, develop and maintain scripts on Git, and ensure comprehensive documentation of all processes and changes
• Continuous Monitoring: Continuously monitor the performance of strategies, making adjustments as necessary to adapt to changing market conditions and maintain profitability

Required Education and Experience:

• Education:Master’s degree/PhD required with a strong academic background in financial markets or quantitative fields with a financial market orientation (Financial Engineering, Machine Learning, Computer Science, Mathematics with an understanding of stochastic processes)
• Experience: Previous experience in a Hedge Fund, Bank, or Corporate quantitative front office team is mandatory
• Market Knowledge: Understanding of market drivers and fundamentals of FX & IR markets
• Model knowledge: Knowledge of derivative products and developing simulation tools (Monte-Carlo and other numerical simulation models, statistical analysis tools such as ACP, financial pricing models, etc.) as well as machine learning algorithm principles
• Financial Tools Familiarity: Familiarity with Bloomberg and Refinitiv is a plus
• Language Skills: Fully proficient in English, both verbal and written. Fluency in French is a plus
• Technical Skills: Strong knowledge of Python, SQL, Databricks, PowerBI, M, DAX, PySpark, VBA, Git other data analysis tools (C++ would be a plus)

Additional Skills Required:

• Entrepreneurial Spirit: An innovative mindset with a willingness to propose solutions
• Functional Testing: Use methods for conducting and monitoring the functional testing of an application
• Detail Oriented: High attention to detail and strong critical thinking/analytical skills
• Relationship Building: Ability to build relationships and interface effectively with all levels of the organization
• Spirit: Team player with the ability to solve problems efficiently with other collaborators and show confidence when presenting

What We Offer:

• An opportunity to work within a leading global organization with a commitment to innovation and sustainability
• Free access to an on-site gym and shower facilities throughout the day
• A dynamic and collaborative work environment with a focus on professional growth and development.