Data Scientist III

Description

The company is a global financial institution. This role sits in the Compliance & Supervision Technology team, based in Belfast, and focuses on data analysis that supports regulatory obligations, surveillance, supervisory controls and the management of conduct and trade-related risk across Global Markets.

Responsibilities

• Work with Compliance, Risk, Data, Technology and business stakeholders to set analytical approaches and data requirements.
• Extract, prepare and analyse complex datasets in Python and other analytical tools to spot trends and exceptions.
• Test findings statistically, then present them through clear visuals and recommendations.
• Collaborate with analysts, engineers and developers to design, deliver and improve durable data solutions.
• Apply enterprise data, risk and governance frameworks to meet internal and external requirements.
• Find data and control problems, help fix them and make analysis more efficient.
• Review regulatory changes and judge how they affect analytical needs and solutions.
• Keep stakeholders updated on delivery progress and any issues.
• Share your expertise and mentor colleagues in a collaborative, inclusive team.
• Lead complex analysis across several projects on your own.
• Advise senior stakeholders on analytical results to inform their decisions.
• Balance competing priorities and help with longer-term planning.

Requirements

• Strong SQL skills to query, join and reconcile complex data, investigate exceptions and check results.
• Proficiency in Python for data preparation, exploratory analysis and automating repeatable tasks.
• Practical experience with statistical analysis, data quality profiling and visualisation to produce reliable, actionable insights.
• Ability to turn business and control requirements into documented data definitions, mapping rules and acceptance criteria.
• Solid understanding of data governance, lineage, confidentiality and controls, with documentation that supports traceability and review.
• Clear communication and stakeholder management, including explaining technical findings to non-technical and senior audiences.
• Independent problem-solving, attention to detail and prioritisation across several deliveries, escalating risks and issues promptly.
• Nice to have: experience in capital markets compliance, trade surveillance, supervisory controls or regulatory reporting.
• Nice to have: familiarity with trade lifecycles, financial products and trade, order, reference or market data.
• Nice to have: experience building dashboards and management information with Power BI, Tableau or similar tools.
• Nice to have: working knowledge of data warehouses, cloud data platforms and ETL/ELT processes, including working with data engineers.
• Nice to have: experience with Git, testing and version-controlled analytical code for reproducible delivery.
• Nice to have: experience in Agile delivery, user acceptance testing and turning analytical findings into control improvements.
• A bachelor's degree in Mathematics, Physics, Engineering, Finance, Computer Science or an equivalent is preferred.
• 5+ years of relevant experience. Postgraduate study and research experience may count towards this.
• Strong Python, data preparation, statistical analysis and visualisation skills, with the ability to explain complex findings to technical and business audiences.
• Ability to link data insights to compliance, supervision and control requirements in a Global Markets setting.

Conditions

Location: Belfast, United Kingdom.

Hours: 35 per week.

Line of business: Analytics, Insights, & Artificial Intelligence.

The company offers fair and equitable pay. You are encouraged to talk openly with HR about compensation, including pay details for this role.

Benefits

• Base salary plus a Total Rewards package covering health and well-being benefits, including medical cover, paid time off, career development, and recognition programmes.
• Regular career and performance conversations with your manager, access to an online learning platform and mentoring programmes.
• Training and onboarding sessions to help you get up to speed in the role.