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

Apply Now

Order Book Data Analyst, 12-month FTC

Financial Conduct Authority
Edinburgh
1 week ago
Create job alert
Order Book Data Analyst – 12 Month Fixed Term Contract

Division: Enforcement & Market Oversight


Department: Market Oversight - Data and Intelligence


Salary: National (Edinburgh and Leeds) ranging from £43,100 to £57,400 and London from £47,300 to £63,000 (salary offered will be based on skills and experience)


Grade: Associate


Contact: Riley Fox via . Applications must be submitted through our online portal. Applications sent via social media or email will not be accepted.


About The FCA And Team

We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you’ll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services.


Enforcement & Market Oversight (EMO) is responsible for the FCA’s responsibilities for market monitoring, delivery of the functions of the UK Listing Authority (UKLA) and the investigation and prosecution of misconduct using the whole spectrum of criminal, civil and administrative sanctions and remedies against firms and individuals.


The Market Oversight directorate is responsible for overseeing primary and secondary market participants through the listing, prospectus, and market abuse regimes. Our mission is to promote conduct that supports trusted, orderly, and efficient markets.


Role Responsibilities

  • Collaborate with trading venues to enhance the accuracy, completeness, and timeliness of order data, strengthening transparency across UK markets.
  • Evaluate and refine data analytics processes to ensure high-quality monitoring of order book performance, driving smarter regulatory choices.
  • Design and propose policy improvements for order book data, shaping the future of market oversight and integrity.
  • Support internal stakeholders by providing expert guidance on order book data, enabling teams across the FCA to make informed, data motivated choices.
  • Build deep expertise in trading venue operations, data reporting, and record-keeping, becoming a go-to authority in a critical regulatory domain.
  • Influence how data is used to uphold market integrity, directly contributing to the FCA’s strategic goals.
  • Guide a high-profile regulatory initiative with cross-organisational collaboration, gaining visibility and impact across the FCA.

Minimum Skills

  • Prior experience in a role providing exposure to wholesale financial markets and/or regulatory data.

Essential Skills

  • Strong communication skills, with ability to explain complex work clearly and concisely.
  • Sound judgement, with an ability to make clear and timely choices and recommendations based on data and intelligence.
  • Drive to acquire new skills at pace and deliver fast-paced, challenging work.
  • Ability to work flexibly and creatively to support horizontal priorities.
  • Familiarity with SQL and Tableau would be beneficial, but not required.

Benefits

  • 25 days annual leave plus bank holidays.
  • Hybrid model with up to 60% remote work.
  • Non-contributory pension (8–12% depending on age) and life assurance at eight times your salary.
  • Private healthcare with Bupa, income protection, and 24/7 Employee Assistance.
  • 35 hours of paid volunteering annually.
  • A flexible benefits scheme designed around your lifestyle.

Our values and culture

Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture: one that’s free from discrimination and bias, celebrates difference, and supports colleagues to deliver at their best. We believe that our differences and similarities enable us to be a better organisation – one that makes better decisions, drives innovation, and delivers better regulation.


If you require any adjustments due to a disability or condition, your recruiter is here to help - reach out for tailored support.


Disability Confident: our hiring approach

We’re proud to be a Disability Confident Employer, and therefore, people or individuals with disabilities and long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. In cases of high application volumes, we may progress applicants whose experience most closely matches the role’s key requirements.


Useful information and timeline

  • Job advert close: w/c 28th November at 11:59pm
  • CV Review/Shortlist: 2nd December
  • First Interview: w/c 8th December
  • Recruiter will discuss the process in detail with you during screening for the role; please let them know if you are unavailable during these dates.


#J-18808-Ljbffr

Related Jobs

View all jobs

Order Book Data Analyst, 12-month FTC

Data Analyst

WFH: Online Data Analyst Latvian (GB)

Remote Work: Online Data Analyst - Odia Speakers living in United Kingdom

Online Data Analyst - Lithuanian Speakers

Remote Work: Online Data Analyst - English Speakers living in United Kingdom

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.

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.