Full Stack Engineer

2 weeks ago


Manchester, New Hampshire, United Kingdom 8d2a37dc-633f-43af-b937-8d3a34cedc76 Full time £100,000 - £120,000 per year

We're working with BNY on this opportunity

Senior Full Stack Engineer (SVP)

Manchester — Hybrid/Remote

Description

BNY is hiring a Senior Full Stack Engineer (SVP) to join the Enterprise Stress Testing & Modelling Analytics team. This group builds and operates the firm's financial analytics platform used for regulatory stress testing and internal risk modelling.

You'll work across large-scale data systems, distributed compute frameworks, and model execution pipelines that support CCAR, CECL, ICAAP/ICARA, UK Bank Stress Testing and the Treasury & CIO Analytics Platform.

What you'll do

  • Build and implement stress testing and credit loss models using Python/R
  • Develop scalable pipelines to forecast balance sheet, revenue, expenses, macro factors and risk metrics
  • Coordinate model development, testing, documentation and deployment across multiple teams
  • Analyse model outputs, identify drivers of capital and loss movements, and ensure performance/accuracy
  • Apply statistical techniques and machine learning on large financial datasets
  • Build visual reporting and analysis tools (Python/JupyterHub)
  • Support expansion into broader analytics platforms and higher-performance compute environments

What you'll need

  • MSc/MBA/PhD in Computer Science, Mathematics, Engineering, Data Science or similar
  • Strong programming skills in Python or R (plus SQL and Pandas)
  • Experience building financial, risk or statistical models
  • Understanding of regression, time series, model validation and ML techniques
  • Ability to work across technical and non-technical teams and communicate clearly
  • Experience building production-grade data pipelines or model execution workflows

Who this role suits

  • Senior Data Engineers / Senior Full Stack Engineers with strong Python
  • Quant Engineers / Risk Engineers
  • ML/AI Engineers with financial modelling experience
  • Senior Software Engineers from fintech or banking analytics
  • Quantitative Developers wanting a broader engineering + modelling remit

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