Senior Vice President, Full Stack Engineer
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At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company, 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.
We’re seeking a future team member for the role of FULL STACK ENGINEER (SENIOR VICE PRESIDENT) 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, CECL and are expanding coverage to ICAAP/ICARA, UK Bank Stress Test, and the Treasury & CIO Analytics Platform (TCAP). Our models span forecasting and risk calculations. We operate a scalable analytics stack—distributed compute, GPU clusters, Spark/Hadoop, JupyterHub, ML toolkits, REST APIs and microservices—to deliver timely, high‑quality results.
Your Role
Transform regulatory stress and credit loss modeling into a reliable, scalable analytics capability. Implement ICAAP/ICARA, UK Stress Testing models, engineer robust Python data pipelines, build decision‑ready visuals, and dissect capital & loss movements. Next phase expands into TCAP—bringing richer products, more scenarios, and higher performance demands.
Impact
* Collaborate with stakeholders across the organization to develop project plans and timelines for model development and implementation.
* Develop risk models in Python/R 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, expenses 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 expected application performance levels are achieved. Apply 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 model performance.
Qualifications
* Master/MBA/PhD 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.).
Awards
* America’s Most Innovative Companies, Fortune, 2025
* World’s Most Admired Companies, Fortune 2025
* Most Just Companies, Just Capital and CNBC, 2025
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.
BNY is an Equal Employment Opportunity/Affirmative Action Employer – Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
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