Emploi Touramakhan

Senior KDB+ Specialist – Fixed Income Algo Trading & Analytics

MARGO

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Location
United Kingdom
Area
Outside Africa — visa sponsorship (according to the posting)
Contract
Permanent contract
Field
UK Team
Published on
7 November 2026
Closing date
Not provided
Information not provided by the source

duration, work arrangement, salary, reference

Source: Arbeitnow · seen on the original site on 7 November 2026 at 21:00 (Paris time) · location given by the source: London

Description

Join MARGO in the UK (London) – Perm & Contracting Opportunities

MARGO is a tech-native consultancy delivering high value-added IT expertise to the financial services industry. We specialise in data-intensive trading and risk environments where real-time analytics, large data volumes, and high-performance engineering are critical. Joining MARGO means working on highly specialized data platforms while benefiting from a human-sized structure, close follow-up, and tailored career paths.

Business Context

You will work directly within the Front Office Fixed Income Algo Trading IT environment. This role sits in a fast-paced setting focused on real-time pricing, risk management, and trading algorithm performance for FI products.

The platform supports:

  • Real-time and intraday market data streaming and time-series capture.

  • Fixed Income pricing, hedging, and risk analytics.

  • Ad-hoc statistical analysis of algorithm behavior, client behavior, and market impact.

  • Real-time trade and algorithm monitoring dashboards (e.g., Panopticon).

Role Overview

We are looking for a Senior KDB+ / q Specialist to work on real-time data and algo trading platforms. While centered on robust kdb+ development, the position features short feedback cycles and direct interaction with traders and production teams.

We welcome candidates with strong kdb+ / q experience who thrive across:

  • Core kdb+ / q development & time-series architecture

  • 3rd line platform support & performance optimization

  • Technical business analysis & trader-facing requirement gathering

Key Responsibilities

  • Development & Analytics: Design, develop, test, and deliver change on real-time KDB+ processes, including API and schema design for FI Algo desks.

  • Business Interaction: Liaise directly with traders to gather requirements, analyze algo performance, and build custom monitoring views (such as Altair Panopticon dashboards).

  • Platform & Data Ownership: Maintain and evolve time-series data models, optimize q code performance, and build compliance/monitoring tools.

  • Support & Delivery: Provide 3rd line technical support to production teams, participate in release processes (including occasional out-of-hours releases), and ensure software delivery compliance.

Technical Environment

  • Core: kdb+ / q, TorQ framework, Linux/UNIX environments.

  • Testing & CI/CD: qspec, qunit, Gitlab CI/CD, JFrog Artifactory, Rundeck.

  • Visualization & Tools: Altair Panopticon (or similar monitoring tools).

Required Experience & Skills

Essential

  • Deep, hands-on experience with q/KDB+ in a front-office time-series environment.

  • Solid knowledge of Fixed Income (FI) products or quantitative finance.

  • Strong Linux/UNIX OS knowledge and performance monitoring mindset.

  • Proven track record in a trader-facing or front-office role with clear communication and systematic reasoning.

  • Degree in Computer Science, Mathematics, Physics, or Engineering.

Valued

  • Experience with the TorQ framework, qspec, or qunit.

  • Exposure to Altair Panopticon dashboards.

  • Familiarity with modern software delivery, CI/CD pipelines, and Agile methodologies.

Why Join MARGO

  • Direct impact on front-office algorithmic trading and risk architectures.

  • Flexible exposure across development, 3rd line support, and quantitative business analysis.

  • Agile team culture with short feedback loops and rapid delivery cycles (hours to days).

  • Human-sized consultancy with close support and long-term career focus. 

Interested? Apply on our website or at ----- data-path-to-node="23,1">.

 

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