Description Senior Vice President, Full Stack Engineer At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of FULL STACK ENGINEER (SENIOR VICE PRESIDENT) to join our team. This role is located in MANCHESTER. Department/Team overview The Enterprise Stress Testing & Modeling Analytics team builds and runs the firm’s end to end financial analytics platform for regulatory and internal stress testing programs. We support CCAR (capital adequacy under severe stress) and CECL (lifetime credit loss reserving for SEC filings), and we’re expanding coverage to ICAAP/ICARA, the UK Bank Stress Test, and the Treasury & CIO Analytics Platform (TCAP). Our models span forecasting (balance sheet, macro drivers, expenses, fee revenues, liquidity, capital, portfolios) and risk calculations (market risk, credit risk, RWA, Stress Capital Buffer). We operate a scalable analytics stack—distributed compute and GPU clusters, Spark/Hadoop, JupyterHub, ML toolkits, REST APIs, and microservices—to deliver timely, high quality results that inform capital actions and strategic balance sheet management. Also AI is widely used for different use cases for imporving efficiency. Your role Your mission: transform regulatory stress and credit loss modeling into a reliable, scalable analytics capability. You will implement ICAAP/ICARA, UK Stress Testing models, engineer robust Python data pipelines, build decision-ready visuals, and dissect capital & loss movements. Next phase broadens into TCAP —bringing richer products, more scenarios, and higher performance demands. If you enjoy pairing quantitative insight with disciplined engineering, we’d like to meet you. In this role, you’ll make an impact in the following ways: Collaborate with stakeholders throughout the organization to develop project plans of delivering objects and timelines of model development and implementation. Develop risk models in Python/R used by risk teams for regulatory stress testing submission and company risk management. Design and build the execution workflow of models to forecast Balance Sheet, Fee Revenues, Macroeconomic Factors, Expense and calculate risk metrics under various stress scenarios, sensitivity & attribution analysis. Coordinate with different functional teams to implement models and coordinate coding, testing, implementation and documentation of financial models. Develop processes and tools to monitor and analyze model performance to ensure the expected application performance levels are achieved. Also, apply various statistical and analytical tests for validating models and results. Develop presentation decks using visual analytics tools and techniques. (JupyterHub/Python) Apply data mining, data modelling and machine learning techniques to analyze large financial datasets and enhance the model performance. To be successful in this role, we’re seeking the following: Master/MBA/PhD's Degree in a quantitative field (computer science, financial engineering, mathematics, data science or engineering) Experience using one or more programming languages (Python, R, C++, Java, Matlab, etc.) and manipulating data using SQL and Pandas Excellent written and verbal communication skills for coordination across teams Understanding of design, development and implementation of mathematical, financial risk and ML models Relevant work experience in a related field based on education level Knowledge of advanced statistical techniques and concepts (regression, time series analysis, statistical tests, etc.) At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY LinkedIn Here’s a few of our recent awards: America’s Most Innovative Companies, Fortune, 2025 World’s Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.