JPMorgan Senior Lead Architect - Data Science Firmwide Technology Resiliency 

United Kingdom, England, London 

992423539

In this role as a Senior Lead Cybersecurity Architect, you will be an integral part of a dynamic team that e

You will be leveraging your data science domain expertise to develop a model to provide analytical insights and generate impact scenarios. These will be used to ascertain technology and recovery risk, working closely with both technology and business stakeholders.

Job responsibilities

• Lead design, development, and implementation of a resiliency risk model
• Collaborate with cross-functional teams of business units, data engineering and data platforms and identify data and deliver models using firmwide frameworks
• Conduct thorough data investigations to ensure the quality and completeness of datasets and oversee quality control measures for modelling outcomes
• Partner with our stakeholders to identify valuable insights and an in-depth understanding of business use cases
• Deliver high quality usable artefacts, that clearly explain strategic solutions and decisions behind them
• Present findings and recommendations to senior management, highlighting opportunities to target reduction in business and technology recovery risk.

Required qualifications, capabilities, and skills

• Strong academic background with an advanced degree in either Mathematics, Data Science, Engineering, Computer Science or another quantitative field.
• Previous experience as a data scientist or quantitative analyst
• Prior customer facing experience is required, with a demonstrated ability to communicate technical content clearly and concisely to non-technical audiences
• Experience of articulating and translating business questions and using statistical techniques to arrive at an answer using available data
• Proven expertise in leading risk model design using a variety of data interpretation and modelling techniques with demonstrated experience in data mining and handling large, complex datasets.
• Proficiency in data manipulation technologies including SQL, general-purpose and statistical programming languages with experience in open-source analytics & query engines for big data
• Must be an intrinsically motivated able to operate relatively independently to take key modelling decisions with effective prioritization and time management

Preferred qualifications, capabilities, and skills

• Passion for the software development cycle, code review, and maintaining code
• Experience of building effective solution architectures
• Fundamental understanding of technology infrastructure components with experience of cloud based technologies and architectures (ideally AWS and/or Microsoft Azure)
• Understanding of agile methodologies and experience working in an agile environment
• Proven ability to build strong, cohesive partnerships with key stakeholders, including external vendor partners with the ability to work effectively in a matrix organization