Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Quantitative Analyst

City of London
1 week ago
Create job alert

Job Title: Quantitative Analyst

Location: London

Contract Length: 6 Months (Jan 26 start date)

Day rate: £850 - £950 via Umbrella

ROLE DESCRIPTION

The role will require development of the underlying mathematical models and analytical tools used by the FX, Fixed Income, Credit, or Equities desks.
To design, develop, test and document the models developed to standards
Develop technical solutions for the desk as required
To provide rapid fixes to any issues identified in the models
To develop model calibration routines and market data analytics (such as curve bootstrapping and interpolation)

Certifications, Qualifications and Experience (Minimum requirements of the Job)

1-5 years working as a Quantitative Analyst developing models in quantitative finance, IT development, or a trading environment
A degree in mathematical finance, science or maths from a top tier university
Knowledge of the standard pricing models used in the investment banking industry
C++ or C experience
Excel VBA preferred
Python experience preferred

Knowledge, Skills & Experience

Solid background in stochastic processes, probability and numerical analysis. Physics, Engineering or similar subjects is desirable, but not strictly required.
Knowledge of main instruments used in FX, Fixed Income, Credit, or Equities
Knowledge of CVA, CSA discounting, VaR, ES and other risk measures.
Strong C++ or C skills.
Knowledge of at least one of the following scripting languages: Python, Perl, Shell Script, C#, Java, VBA.
Good knowledge of Excel.
Knowledge of Windows and UNIX/LINUX, understanding of and experience with version control systems (GIT) and distributed development process.
Knowledge of distributed computing and serialisation techniques preferred.
Ability to work in fast-paced environment with proven ability to handle multiple outputs at one time

Related Jobs

View all jobs

Quantitative Developer (Low Latency) EMEA (F/M/D)

Low Latency Java Developer

Data Scientist / Quant Engineer

Sports Biomechanics Data Scientist

Associate Professor/Professor - Discipline Lead Physiotherapy

Senior Mechanical Engineer - Energy & Power (London, UK)

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.

Edge Computing Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK edge computing hiring has moved from tool‑lists to capability‑driven assessments that emphasise resilient edge architectures, real‑time data pipelines, secure device fleets, container/Kubernetes at the edge, on‑device/near‑edge ML, and measurable business impact (latency, reliability, cost‑to‑serve). This guide explains what’s changed, what to expect in interviews & how to prepare—especially for edge platform engineers, IoT/OT engineers, edge SREs, embedded/firmware engineers, edge AI/ML engineers, network engineers (5G/private LTE), security specialists & product managers. Who this is for: Edge platform/SRE, IoT solution architects, embedded/firmware developers, edge AI/ML engineers, network engineers (5G/SD‑WAN), security engineers (OT/ICS), data/streaming engineers, site deployment/field engineers & edge product managers targeting roles in the UK.

Why Edge Computing Careers in the UK Are Becoming More Multidisciplinary

For years, computing innovation was focused on the cloud. But as demand for real-time analytics, low-latency processing and secure local data handling grows, edge computing has become the next frontier. From autonomous vehicles to healthcare monitoring devices, retail checkout systems to industrial IoT, edge computing is transforming how data is processed and used in the UK. This shift has also changed what it means to work in the field. Edge computing careers are no longer purely technical. They now require knowledge of law, ethics, psychology, linguistics & design, as professionals must consider regulation, human behaviour, communication & usability alongside engineering. In this article, we’ll explore why UK edge computing careers are becoming more multidisciplinary, how these five fields intersect with edge roles, and what job-seekers & employers need to know to thrive in this evolving landscape.

Edge Computing Team Structures Explained: Who Does What in a Modern Edge Computing Department

Edge computing is expanding rapidly in the UK, driven by demands for low latency, on-site processing, IoT proliferation, autonomous systems, 5G, AI inference on devices, and regulatory pressures for data sovereignty. Businesses in sectors such as telecoms, industrial automation, retail, smart cities, autonomous vehicles, and healthcare are pushing computation and intelligence closer to where data is generated. But to design, build, deploy, secure, and maintain edge computing systems requires more than just hardware or software — it requires structured teams with clearly defined roles and responsibilities. If you’re hiring, or applying for roles via EdgeComputingJobs.co.uk, understanding who does what in a mature edge computing department will help you plan better, show relevance in job applications, and build resilient teams. This article covers the key roles in edge computing teams, how they collaborate through the project lifecycle, what skills and qualifications UK employers usually expect, salary benchmarks, challenges and trends, and best practices for structuring effective edge teams.