Senior Analytics Engineer – Financial Markets & Trading Data
Listed on 2025-12-30
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Software Development
Data Engineer, Data Science Manager
Senior Analytics Engineer – Financial Markets & Trading Data
Join to apply for the Senior Analytics Engineer – Financial Markets & Trading Data role at Financial Conduct Authority
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DivisionSell Side
SalaryNational (Edinburgh and Leeds) ranging from £52,400 to £71,000 and London £57,700 to £78,000 per annum (Salary offered will be based on skills and experience)
About The FCAThe FCA regulates the conduct of 45,000 firms in the UK to ensure our financial markets are honest, fair and competitive. Follow this link to find out more About the FCA.
We have an exciting opportunity for a Senior Associate Data Engineer to work in our Market Analysis & Risk Team. The team is part of the Supervision, Policy, and Competition (SPC) division where our directorates combine both our supervisory and policy-making work across sell-side, infrastructure, and exchanges.
The team’s role is to provide sophisticated insights to deliver data-informed policy making and supervision, utilising a wide range of state-of-the-art cloud-based tools. In alignment with our digital transformation, we use regulatory and markets data to better supervise the firms we regulate. This includes large wholesale banks, principal trading firms, and market infrastructure such as exchanges. Further, using our markets data, we aid in the development of our regulation and policy to improve how our markets function and assess the impact of our policies.
Whatwill you be doing?
You will design and build data pipelines handling millions of records daily to produce model-ready inputs for risk and market analysis. As part of this, you will be using large‑scale proprietary datasets (such as transaction‑level trading data or data on firms’ derivatives positions) as well as commercial data (Bloomberg, Refinitiv, etc.). Your work will help power interactive web applications and dashboards that provide system-wide views of trading and positioning across equities, fixed income, commodities, and FX, leveraging unique regulatory data.
At the same time, there is also every opportunity to get involved in conducting analysis or to develop analytical tools to inform our policy making and supervisory actions. If you are passionate about data, markets, and meaningful impact, this is your opportunity to make a real difference.
- You will be working as part of a team at the very heart of everything wholesale financial markets at the FCA
- You will work closely with fellow data specialists and analysts, delivering insights in collaboration with stakeholders across the directorates
- You will work with unique regulatory markets data and play a key role in shaping how data are harnessed to supervise firms and markets
- You will gain exposure to a broad range of markets and financial products, while working on diverse and intellectually stimulating issues that span both policy and supervision
We are a Disability Confident Employer; therefore, disabled people or individuals with long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. (To learn more about the Disability Confident Scheme )
Minimum- Proven data engineering experience within a financial markets context, able to design efficient SQL (Redshift) and Python code for complex ETL pipelines and feature engineering
- Hands‑on experience in building and deploying scalable cloud‑based solutions with orchestration tools such as Airflow or Dagster
- Proficiency with data analytics tools and libraries (pandas, PySpark, etc)
- Deep understanding of financial markets
- Experience applying machine learning techniques to market data
- Experienced in developing user‑friendly analytical products, e.g. dashboards, self‑service tools, or streamlit apps
- Proven ability to collaborate effectively with diverse stakeholders
We are proud to be an inclusive employer and our ambition is to cultivate a culture for all employees that respects their individual strengths, views, and experiences. We believe that our differences and similarities enable us to be a better…
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