The Business Analyst is a finance professional with solid expertise in Risk Management, banking processes, and the regulatory framework (e.g., Basel). Key responsibilities include benchmarking, gap analysis, and assessment exercises to identify strategic improvements. With strong analytical skills, they interpret data trends and create insightful visualizations to support decision-making. Acting as a vital link between business and IT, the Business Analyst ensures effective communication and alignment between organizational goals and technological solutions.

The Financial Engineer operates at the intersection of finance, mathematics, statistics, and stochastic calculus, combining these skills with strong proficiency in programming languages such as Python, Java, and C++. Their role is strategic in the development and validation of risk calculation frameworks (e.g., pricing libraries, behavioral models, risk indicators), with a particular focus on market risk on trading book and interest rate risk on banking book. They also contribute to the optimization of risk and investment management processes, actively participating in the design of advanced IT architectures for risk management.

The Credit Risk Quant is a specialist in the development and validation of models used to measure credit risk, such as PD, LGD, and EAD, in both regulatory (IRB, IFRS9) and managerial contexts. They play a key role in optimizing credit and lending processes by providing quantitative support for risk analysis and management. This role requires a strong background in statistics, econometrics, and macroeconomics, along with programming skills in languages such as Python, R, or SAS, and solid familiarity with databases and SQL.

The PMO (Project Management Officer) is a professional with strong project management skills and a solid understanding of key banking processes. They oversee project planning (e.g., defining scope, timelines, and deliverables), as well as risk management and related mitigation plans. They coordinate stakeholders to gather and formalize business requirements, monitor project progress using KPIs, and manage communication across the various involved areas. The PMO works closely with all project participants, ensuring operational alignment and preparing structured documentation to support management.

The role of Full-Stack Developer requires a solid background in Computer Engineering, with skills in software development and cloud platforms. They design, develop, test, and deploy scalable software solutions, optimizing application performance and security. They work in both waterfall and agile development environments, collaborating with multidisciplinary teams to ensure alignment between technical requirements and business objectives.

The Data Scientist has a strong mathematical and technological background, with advanced skills in Machine Learning, Text Analytics, and Natural Language Processing techniques. They use tools such as Python, PySpark, and SQL to process and analyze large datasets, developing complex and predictive models. In particular, they apply cutting-edge technologies, including Machine Learning algorithms and generative artificial intelligence, to innovate and enhance Risk Management practices. Thanks to a deep analytical approach and strong logical and abstract reasoning skills, they contribute to identifying emerging risks and supporting data-driven strategic decisions.