Job Description

The opportunity

EY Financial Services Consulting supports leading financial institutions in addressing complex risk, regulatory and data challenges. Our Financial Services Risk Management (FSRM) team combines risk expertise, quantitative analytics and technology to deliver high-impact, data-driven solutions.

As a Senior Consultant, you will play a key role in projects with a strong analytical and programming focus, using Python and SAS as core tools to develop, automate and enhance risk models, analytics and regulatory solutions across the financial services sector.

Your key responsibilities

• Design, develop and maintain analytical and quantitative solutions with a strong emphasis on Python and SAS
• Perform data extraction, transformation and analysis on large and complex datasets from financial institutions
• Develop, automate and enhance risk models, calculations and reporting processes using Python and SAS
• Support model development, validation and monitoring activities (e.g. credit risk, market risk, capital, IFRS 9, stress testing)
• Build robust, efficient and reusable Python and SAS code aligned with best practices
• Translate regulatory and business requirements into technical and analytical implementations
• Prepare high-quality technical documentation, analysis outputs and client-ready deliverables
• Collaborate with multidisciplinary teams (risk, regulatory, technology and business)
• Provide technical guidance and coaching to junior team members

Skills and attributes for success

• Strong hands-on programming mindset and passion for analytics
• Ability to structure complex data problems and translate them into code-based solutions
• Strong attention to detail, code quality and documentation
• Clear communication skills to explain technical outputs to non-technical stakeholders
• Proactive, autonomous and delivery-focused attitude

To qualify for the role, you must have

• 3+ years of professional experience with Python and SAS, preferably in a financial services or consulting context
• Strong practical experience in:
• Python (pandas, numpy, scripting, automation, analytical workflows)
• SAS (data processing, analytical procedures, risk calculations, reporting)
• Experience working with large datasets and complex data structures
• Academic background in Mathematics, Statistics, Engineering, Economics, Finance, Computer Science or similar
• Good understanding of risk management or regulatory analytics applied to financial institutions
• Strong written and verbal communication skills in English

Ideally, you will also have

• Experience applying Python and SAS to regulatory or risk topics (e.g. IRB, IFRS 9, stress testing, capital calculations)
• Knowledge of SQL, databases or data warehousing
• Exposure to model validation or advanced analytics
• Experience in consulting or Big 4 environments
• Interest in expanding skills towards automation, scalability and advanced analytics

What working at EY offers

EY offers a competitive remuneration package commensurate with your work experience. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around;
• Opportunities to develop new skills and progress your career;
• The freedom and flexibility to handle your role in a way that’s right for you.

EY | Shape the future with confidence.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, we're committed to providing recruitment and career opportunities to all, regardless of gender, sexual orientation, social background or disability. We believe that equality and diversity are central to our recruitment process, as they enhance creativity and efficiency, leading to improved performance and productivity. In line with this commitment, EY Portugal recently became a member of the Inclusive Community Forum. This initiative, led by Nova SBE, focuses on the recruitment of individuals with disabilities, advocating for a more inclusive community. Moreover, EY Portugal has also endorsed the Diversity Charter of APPDI (the Portuguese Association for Diversity and Inclusion), pledging to establish and develop internal policies and practices which support diversity. Through these initiatives, EY seeks to actively contribute to the inclusion process, and promote a more inclusive community for people with disabilities, by actively participating in creating solutions.