Financial Conduct Authority
Senior Data Scientist - Markets
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Senior Data Scientist - Markets
Senior Data Scientist – Markets
Division and Department
- Division: Supervision, Policy & Competition
- Department: Market Analysis & Risk
Salary and Grade
- Salary Range:
- Edinburgh/Leeds: £53,800–£64,000 per annum
- London: £59,200–£70,000 per annum (based on skills and experience)
- Grade: Senior Associate – Regulatory
Contact Information
- Internal Recruitment Contact: Iona Magee (iona.magee@fca.org.uk)
- External Recruitment Contact: Tahir Khan (tahir.khan1@fca.org.uk) Application Method: Online portal only. Applications via social media or email will not be accepted.
About The FCA and Team
We regulate financial services firms in the UK to ensure fair, thriving, and effective markets.
SPC (Supervision, Policy & Competition):
- Oversees firms and individuals (supervision)
- Creates/reviews rules (policy)
- Identifies and remedies ineffective competition in markets (competition)
Markets Directorates ensure fair, transparent, and resilient wholesale markets (including wholesale banks, intermediaries, asset managers, exchanges).
Role Description
Key Responsibilities:
- Design and build high-performance trading data pipelines, transforming millions of daily records into datasets for risk and market analysis
- Own and evolve interactive web apps and dashboards to deliver insights across equities, fixed income, commodities, and FX
- Conduct analyses on diverse financial market issues, supporting policy and supervisory teams with timely, informed decisions
- Use technical skills to tackle impactful challenges and shape how data inform firm supervision and market oversight
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Qualifications and Experience
Minimum Requirements
- Demonstrable data engineering experience in financial markets
- Ability to design efficient SQL (Redshift) and Python ETL pipelines
- Expertise in feature engineering
- Experience developing user-friendly analytical products (e.g., dashboards, self-service tools, Streamlit apps)
- Proficiency with data analysis tools/libraries (focused on financial datasets)
Essential Qualifications
- Deep understanding of financial markets
- Experience applying machine learning techniques to market data
- Prior experience with scalable cloud-based solutions
- Capacity to collaborate effectively with diverse stakeholders
Benefits Package
- Annual Leave: 25 days + bank holidays
- Hybrid Work Model:
- Minimum 40% office-based per month (50% for senior leaders)
- Changing from September: Minimum 50% office-based per month (60% for Directors & Executive Directors)
- Pension: Non-contributory (8–12% based on age) + life assurance (8x salary)
- Healthcare: Private healthcare with Bupa, income protection, and 24/7 Employee Assistance Program
- Volunteering: 35 hours of paid volunteering annually
- Flexible Benefits Scheme: Tailored to individual lifestyle
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Full benefits details available on our **benefits page.*
Culture and Values
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Diversity & Inclusion: Commitment to a fair, anti-discriminatory environment.
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Disability-Friendly: Disability Confident Employer–applicants with disabilities or long-term conditions will progress if they meet core criteria.
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Flexibility options: Part-time, job-sharing, and other flexible arrangements supported.
Application Process Timeline
- Job Advert Closes: Wednesday 1st July 23:59
- CV Review/Shortlisting: Friday 3rd July
- Case Study Assessment: 9–13 July
- Interview: Week commencing 20th July
Career recruiters will clarify any unavailability during these stages during screening.
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