Data Scientist III

Work Location:

Belfast, United Kingdom

Hours:

35 Line of Business:
Analytics, Insights, & Artificial Intelligence Pay Details:
We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

TD Securities Belfast are seeking a Data Scientist to join the Compliance & Supervision Technology team. The successful candidate will deliver data analysis and insights that support regulatory obligations, surveillance, supervisory controls and management of conduct and trade-related risks across Global Markets.

• Partner with Compliance, Risk, Data, Technology and Business stakeholders to define analytical approaches and data requirements.
• Extract, prepare and analyse complex datasets using Python and analytical tools to identify trends and exceptions.
• Validate findings statistically and present clear visualisations and recommendations.
• Work with analysts, engineers and developers to design, deliver and improve sustainable data solutions.
• Apply enterprise data, risk and governance frameworks to meet internal and external requirements.
• Identify data and control issues, support remediation and improve analytical efficiency.
• Assess regulatory developments and their impact on analytical requirements and solutions.
• Communicate delivery progress and issues to stakeholders.
• Share expertise and mentor colleagues within a collaborative, inclusive team.
• Independently deliver complex analysis across multiple projects.
• Advise senior stakeholders on analytical findings to support decisions.
• Manage competing priorities and contribute to longer-term planning.

• Strong SQL skills to query, join and reconcile complex datasets, investigate exceptions and validate results.
• Proficiency in Python for data preparation, exploratory analysis and automation of repeatable analytical tasks.
• Practical knowledge of statistical analysis, data quality profiling and visualisation to produce reliable, actionable insights.
• Ability to translate business and control requirements into documented data definitions, mapping rules and acceptance criteria.
• Sound understanding of data governance, lineage, confidentiality and controls, with clear documentation supporting traceability and review.
• Clear communication and stakeholder management skills, including explaining technical findings to non-technical and senior audiences.
• Independent problem-solving, attention to detail and prioritisation across multiple deliveries, with timely escalation of risks and issues.

• Experience in capital markets compliance, trade surveillance, supervisory controls or regulatory reporting.
• Familiarity with trade life cycles, financial products and trade, order, reference or market data.
• Experience building dashboards and management information using Power BI, Tableau or similar tools.
• Working knowledge of data warehouses, cloud data platforms and ETL/ELT processes, including collaboration with data engineers.
• Experience with Git, testing and version-controlled analytical code to support reproducible delivery.
• Experience in Agile delivery, user acceptance testing and translating analytical findings into control improvements.

Bachelor’s degree in Mathematics, Physics, Engineering, Finance, Computer Science or equivalent preferred. 5+ years of relevant experience; postgraduate education and research experience may count towards this requirement. Strong capability in Python, data preparation, statistical analysis and visualisation, with the ability to explain complex findings to technical and business audiences.…