Job responsibilities
- Develops the Risk Data Architecture strategy and works across teams to drive its implementation
- Advises cross-functional teams on technology selection to achieve target state architecture and decisions on improvements to current technologies
- Develops multi-year roadmaps aligned with business and architecture strategy and priorities
- Advises and leads on data architecture strategy and development of multiple products, applications, and technologies across a portfolio
- Translates highly complex technical issues, trends, and approaches to leadership to drive the firm’s innovation and enable leaders to make strategic, well-informed decisions about data architecture for the target state
- Establishes and leads a data architecture governance body
- Creates complex and scalable coding frameworks using appropriate software design frameworks
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Serves as the function’s go-to subject matter expert
- Creates durable, reusable software frameworks that are leveraged across teams and functions
- Champions the firm’s culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering* concepts and expert applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Expert in one or more programming language(s) - Java is essential,
- Experience applying expertise and new methods to determine data solutions for complex architecture problems across various technical disciplines
- Extensive practical cloud native experience
- Ability to evaluate current and emerging technologies to recommend the best data architecture solutions or approach to achieve the future state architecture
- Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
- Ability to present and effectively communicate with Senior Leaders and Executives
- Experience with Market, Credit or Liquidity Risk functions
Preferred qualifications, capabilities, and skills
- Experience working with large, globally diverse organisations
- Experience working in finance or another highly regulated industry
- Experience with large interconnected systems and grid compute platforms