At a Glance
- Tasks: Design and build high-performance data pipelines for market analysis and risk.
- Company: Join a leading regulatory body shaping financial markets.
- Benefits: Generous annual leave, hybrid work model, and comprehensive health benefits.
- Other info: Enjoy 35 hours of paid volunteering and flexible benefits tailored to you.
- Why this job: Make a real impact on financial supervision using your data skills.
- Qualifications: Experience in data engineering, financial markets, and machine learning techniques.
The predicted salary is between 53800 - 64000 £ per year.
Division: Supervision, Policy & Competition
Department: Market Analysis & Risk
Salary: National (Edinburgh and Leeds) ranging from £53,800 to £64,000 and London from £59,200 to £70,000 (salary offered will be based on skills and experience)
This role is graded as: Senior Associate - Regulatory
Responsibilities
- Design and build high performance pipelines of trading data, transforming millions of daily records into model-ready datasets for risk and market analysis.
- Own and evolve interactive web apps and dashboards, turning unique regulatory markets data into insights across equities, fixed income, commodities, and FX, helping supervisors build a detailed understanding of firms’ and exposures.
- Conduct analyses on diverse and stimulating issues, empowering policy and supervisory teams to make informed, timely decisions whilst gaining exposure to a broad range of markets and financial products.
- Apply your technical skills to impactful challenges and play a key role in shaping how data are harnessed to supervise firms and markets.
Skills required – Minimum
- Demonstrable data engineering experience within a financial markets context, able to design efficient SQL (Redshift) and Python code for complex ETL pipelines and feature engineering.
- Experience in developing user-friendly analytical products, e.g. dashboards, self-service tools, or streamlit apps.
- Demonstrable proficiency with tools and libraries for data analysis, including relevant Python libraries.
Skills required – Essential
- Deep understanding of financial markets.
- Experience applying machine learning techniques to market data.
- Prior experience in building and deploying scalable cloud-based solutions.
- Demonstrated capacity to work well with a wide range of stakeholders.
Benefits
- 25 days annual leave plus bank holidays.
- Hybrid model where employees work a minimum of 40% in the office each month (expectation of 50% for senior leaders). Changing from September to a minimum of 50% in the office each month (expectation of 60% for Directors and Executive Directors).
- 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.
Senior Data Scientist - Markets in London employer: SwiftCruit
As a Senior Data Scientist in our Markets Division, you will thrive in a dynamic work culture that values innovation and collaboration. With competitive salaries, generous benefits including a non-contributory pension and private healthcare, and a commitment to employee growth through diverse projects, we empower our team to make impactful contributions while enjoying a healthy work-life balance in vibrant locations like Edinburgh and Leeds.
