kdb+ Developer (Surveillance)

Data Intellect
London
1 year ago
Applications closed

Job Description

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, incorporating all findings
  • Mentorship and training of junior developers


Qualifications

Experience and skills required:

  • Minimum 3+ years kdb+ development experience
  • Knowledge and experience inFinancial Surveillanceis highly advantageous
  • Ability to learn new programming languages and financial concepts quickly, logical thinkers and problem solvers
  • 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 Surveillance and regulations 
  • Experience of other programming languages e.g. Python 
  • Cloud development experience
  • Experience of other data solutions, specifically Time Series Experience in an investment bank or large financial organisation
  • People management experience 
  • Technical lead of project or sub-team 



Additional Information

What we offer:

  • Flexible working– we offer hybrid working so our people can achieve that elusive work/life balance.
  • Professional development– we offer extensive training, ranging from leadership to specific technical skills.
  • Progression opportunities- we run a biannual promotion process. Monthly 121s with your People Leader provides support to guide you and your career in the right direction.
  • International travel opportunities– we offer the opportunity to work internationally, with teams in Belfast, London, New York, Hong Kong & Singapore
  • Healthcare cover– provider is dependent on region, UK is provided by Benenden Health, including 24/7 GP Service & Mental Health Helpline to give you peace of mind when it comes to your health
  • Generous referral scheme– we love to see referrals and referring a friend means cash for you!
  • Regular social events, prizes and giveaways– our talented social committee work hard all year round to provide exciting events across all regions to promote our value of togetherness

A little background on DI

Simply put – we turnbig data problemsintosmart data solutions

At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare.

This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions.

Fair employment and equal opportunities

Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process.

Welcome to Data Intellect. #ChallengeAccepted

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.