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

Martis Search
London
5 months ago
Applications closed

Related Jobs

View all jobs

Gen AI Specialist

BI Developer

Growth Data Scientist/ Analyst

AWS Data Engineer

Strategic Finance Manager

Senior Artificial Intelligence Engineer

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.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

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

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.