At Data Intellect it has never been just about data or technology, they are our tools. It’s about human intellect, collaboration and providing solutions for the most complex of challenges.
We do this by living the [DI] code:
We are Problem Solvers who are Humble, possess a Can-do Attitude with a focus on Togetherness.
“We are not big on egos, but we’re not for the faint-hearted either” – Steve Turner, CEO
Welcome to Data Intellect.
Challenge Accepted.
Job Description
What you’ll be doing:
- Providing technical leadership on complex client projects
- Leading technical teams to deliver projects on time and on budget
- Defining technical architectures and solutions
- Working with business users to define requirements for new application functionality
- Developing, testing, supporting and maintaining all code for client applications
- Analysing data and creating reports for clients, incorporating all findings
Qualifications
Experience and skills required:
- 5+ years kdb+ development experience
- Experience of defining and implementing kdb+ architectures
- Proven delivery of technical solutions to appropriate standards and methodologies
- In-depth knowledge of creating and maintaining kdb+ solutions
- Experience delivering technical solutions in unix/linux environment
- Demonstratable technical leadership and decision making
- Experience communicating and liaising with key stakeholders
- Excellent communication skills and capable of tailoring to the audience
- Desire to improve technically and maintain up to date with the latest advances
- Experience of working and delivering solutions in Capital Markets/Investment Banking
- Cloud architecture and development experience is a plus but not essential
- Minimum 2:1 Bachelor’s Degree in Mathematics, Physics, Computer Science or any other scientific/engineering discipline
Experience and skills desired*:
- But don’t rule yourself out if you haven’t had the opportunity to develop these skills yet
- Experience of other programming languages e.g. Python
- Cloud development and architecture experience
- Experience of other data solutions, specifically Time Series Experience in an investment bank or large financial organisation