At a Glance
- Tasks: Develop and maintain applications for market abuse surveillance while collaborating with a dynamic team.
- Company: Join Data Intellect, where human intellect meets innovative technology in a collaborative environment.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for mentorship and growth.
- Other info: Ideal for logical thinkers eager to tackle complex challenges in a fast-paced setting.
- Why this job: Make a real impact in financial technology and enhance your skills in a supportive team.
- Qualifications: 3+ years of kdb+ development experience and a degree in a scientific discipline required.
The predicted salary is between 60000 - 80000 £ per year.
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 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:
- 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
Remote kdb+ Developer (Trade Surveillance) in Poole employer: Data Intellect
At Data Intellect, we pride ourselves on fostering a collaborative and innovative work environment where every team member is valued. As a Remote kdb+ Developer, you will not only contribute to cutting-edge solutions in Market Abuse Surveillance but also benefit from mentorship opportunities and a culture that encourages continuous learning and growth. Our commitment to humility and teamwork ensures that you will thrive in a supportive atmosphere while tackling complex challenges alongside like-minded professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Remote kdb+ Developer (Trade Surveillance) in Poole
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Remote kdb+ Developer (Trade Surveillance) in Poole
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Data Intellect, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Data Intellect. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Data Intellect
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Data Intellect!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
