KDB+/Q Quantitative Developer - Elite Buy Side Trading Firm - Up to £300K + Bonus + Hybrid)

Hunter Bond

London, England

10 months ago

Applications closed

Related Jobs

View all jobs

KDB Developer

James Joseph Associates Broad Street, Greater London, City And County Of the City Of London, United Kingdom

£120,000 – £150,000 pa

Posted: 28 Jun 2025 (10 months ago)

Save job

Create job alert

Applications closed

Job Title : KDB+/Q Quantitative Developer - Elite Buy Side Trading Firm - Up to £300K + Bonus + Hybrid)
Client : Elite Buy Side Trading Firm
Salary : Up to £300,000 + performance-based bonuses
Location : London / Hybrid

Roles and Responsibilities : We are partnering closely with an Elite Buy Side Trading Firm who are looking for an experienced KDB+/Q Quantitative Developer to look after and manage trading analytics systems and trading platforms.

As a KDB+/Q Quantitative Developer, you will use KDB to work on trading applications in my client's front office teams to develop fully-fledged applications facilitating real-time data access, and support the exploration of large volumes of data integral to our trading workflows and operations.

You will play a pivotal role in the firm's operations, ensuring the smooth execution of pricing activities and optimising the efficiency of their processes. This position offers a unique opportunity to join a dynamic team of professionals in an intellectually stimulating environment.

Benefits :
Working on highly scalable, low latency infrastructure.
Exceptional professional growth opportunities in a tech-focused company, allowing you to enhance your skills at an accelerated pace.
Access to state-of-the-art technologies, enabling you to work with advanced tools and frameworks.
Highly competitive bonuses and a comprehensive benefits package that surpasses industry standards.
Emphasis on health and well-being, including a healthy work-life balance and reimbursement programs.
Rapid career progression and exposure to diverse technologies.
Collaboration with top-tier infrastructure teams in the financial sector.

Key Requirements :
Degree in Computer Science or STEM based subjects.
Strong programming skills with KDB as a

KDB+/Q Quantitative Developer . Python is a bonus.
4+ years of work experience in a relevant role such as software or quant development or technology.
Proficiency in modern software development practices, including version control and agile development methodologies.
Strong written and verbal communication skills, enabling effective collaboration and information sharing.
Demonstrated enthusiasm for ongoing learning and a proactive attitude towards adopting new technologies.
Ability to thrive in a fast-paced, adaptable, and high-pressure environment, delivering results efficiently.

If you are a KDB+/Q Quantitative Developer and this role could interest you, please apply to be considered.

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

Industry Insights

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

Apr 9, 2026

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Mar 24, 2026

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Feb 10, 2026

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.