Company Description
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
Job Description
We are hiring for developers for our growing Market Abuse Surveillance practice.
What you’ll be doing:
- Working with business users to define requirements for new application functionality
- Developing, testing, supporting and maintaining all code for client applications
- Assisting the Project Manager with all aspects of project delivery
- Working as part of a team to deliver projects on time and on budget
- Analysing data and creating reports for clients to present findings
- Mentorship and training of junior developers
Qualifications
Experience and skills required:
- Minimum 3+ years kdb+ development experience
- Knowledge and experience in KX Surveillance, or of technical solution development in a surveillance, context is highly advantageous
- Ability to learn new programming languages and financial concepts quickly - logical thinkers and problem solvers wanted
- Familiarity with Software Development Methodologies
- Good knowledge of the Systems Development Life Cycle
- Detail-orientated, results driven and in possession of a can-do attitude
- Capable of working both independently and within a team
- Excellent client facing skills
- Minimum 2:1 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
- Knowledge of Trade Surveillance technology and Market Abuse regulations in one or more jurisdictions
- Experience of other programming languages, e.g. Python
- KX Surveillance deployment and enhancement
- Experience with application of AI and Machine Learning
- Cloud development experience
- Experience of other data solutions, specifically Time Series Experience in an investment
