National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Instrument Static Data – Fintech Investment Bank (City of London – based on the Trading Floor): Potential to do annual bonus buyout

Martis Search
London
8 months ago
Applications closed

Related Jobs

View all jobs

Electronics Engineer

Graduate Electronics Engineer

Junior Scientific Programmer / Data Scientist

Mechanical Design Engineer

Data Scientist

Data Scientist

The Role


Instrument Static Data – Fintech Investment Bank (City of London – based on the Trading Floor): Potential to do annual bonus buyout


Martis Search are representing a City of London based, but global Fintech Investment Bank to hire a multi-asset class “Instrument Static Data SME (our client will consider between Analyst to VP Levels)”.


Having any experience using Alteryx is also highly advantageous and there will be a large inter-system Data project using Alteryx for Management Information Reporting to be used by senior Management and Trading teams.


This particular team covers specific multi asset-class Trade Support a broad range of instruments such as Equities, Fixed Income, Commodities, FX, OTC & ETD Vanilla & Exotic Derivatives and Cryptocurrencies.


The Instrument Static Data SME is a new position created within their Middle Office due to growth. You will be part of the Middle Office Operations team on the Trading floor and the role will reporting into a Head of Operations, with the view of being the sole Instrument Static Data SME.


All as well as BAU Instrument Static Data, you will be required to also heavily be involved with related projects.


You will need to be of graduate calibre with a 2:1 degree in a numerate based subject i.e. Economics, Mathematics, Engineering, Data Science and have a minimum of 2-years’ experience within an Instrument Static Data/ Reference Static Data role gained for a high volume trading Investment Bank, Hedge Fund, Asset Manager, Prop Trader etc.


Our client is looking for someone with either Advanced skills in Excel; familiarity with SQL or Python is also a plus. In addition, strong working knowledge of Bloomberg and Reuters is also requested. The company are a very tech driven, high volume/ complex asset-classes and processes organisation, so the better skills in Tech is favourable.


The company trade a broad range of asset classes including global Equities, Fixed Income, FX (Vanilla and Structured), Interest Rate Swaps, Credit Derivatives, Futures & Options, Structured Notes, Commodities (physical and OTC) and Cryptocurrency, with constantly new asset classes being traded.


The company are innovative, technology driven and very successfully having doubled their YoY profits nearly every year since their inception. They are one of the fastest growing, cutting edge and successful Investment Banks to work for in London. They use cutting edge proprietary trading systems and technology to global Institutional clients ranging from Hedge Funds, Asset Managers, Investment Banks, Commodity producers/ manufacturers.


The company’s front-end growth has given rise to lots of growth opportunities in support functions. Our client is expanding in several International locations including London and due to growth is looking for a multi-asset class Instrument Static Data SME.


The role is based on the trading floor and due to the success and growth in the business, our client does prefer people to be in the office x 4-days per week with x 1 day working-from-home (this day rotates).


The London Middle Office Trade Support team is based on the trading floor, use Prime Brokers, but the roles are Front-to-back Middle and Back Office support functions.


·Team of circa 10 in their London Middle Office, London and have a small teams globally too.


·Products covered: Equities, Fixed Income, FX (Vanilla & Structured), OTC Derivatives i.e. Interest Rate Swaps, CDS, Futures & Options, Structured Products, Cryptocurrencies, Commodities.


·Systems: Bloomberg, Reuters, as well as Inhouse technology, built and developed by the company themselves.


You will be:


Skills and Experience


  • Bachelor’s degree in Finance, Data Science, Business, or a related field.
  • Minimal 2 years of experience in data management or operations/middle office, preferably in a financial services or investment banking environment.
  • Strong understanding of financial products and instruments (equities, fixed income, derivatives, commodities).
  • Experience with data management platforms (Bloomberg, Reuters, etc.) is an advantage.


**Please note our client will not sponsor, and we ask all applicants to have full UK Right to Work and no time limited visas – Youth Mobility, Tier 4, Spouse Visas (all that are soon to expire and require company sponsorship to work in the UK).

We ask all applicants to respect this requirement given our client’s request and inability to sponsor.**


Salary


£45,000 k pa - £75,000 k pa, dependent upon experience, plus very good bonus, pension, healthcare etc.

National AI Awards 2025

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.