Senior KDB+ Specialist – Fixed Income Algo Trading & Analytics
LocationLondon
Work modehybrid
Typecontract
DepartmentConsulting, UK Team
Company size201–500 people
First seen5mo ago
Last seen3d ago
About the company
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:
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Real-time and intraday market data streaming and time-series capture.
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Fixed Income pricing, hedging, and risk analytics.
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Ad-hoc statistical analysis of algorithm behavior, client behavior, and market impact.
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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:
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Core kdb+ / q development & time-series architecture
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3rd line platform support & performance optimization
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Technical business analysis & trader-facing requirement gathering
Key Responsibilities
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Development & Analytics: Design, develop, test, and deliver change on real-time KDB+ processes, including API and schema design for FI Algo desks.
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Business Interaction: Liaise directly with traders to gather requirements, analyze algo performance, and build custom monitoring views (such as Altair Panopticon dashboards).
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Platform & Data Ownership: Maintain and evolve time-series data models, optimize q code performance, and build compliance/monitoring tools.
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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
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Core: kdb+ / q, TorQ framework, Linux/UNIX environments.