Senior Consultant – Financial Services Risk Management, Python, SAS

🕒 April 22

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EY

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1989

💸 Finance

Finance • Consulting • Technology

EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• 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.