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Data Scientist III

Belfast, United Kingdom

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at TD International

What you’ll work on

Full posting
  • Partner with Compliance, Risk, Data, Technology and Business stakeholders to define analytical approaches and data requirements.

  • Work with analysts, engineers and developers to design, deliver and improve sustainable data solutions.

  • Manage competing priorities and contribute to longer-term planning.

From the employer’s posting
Responsibilities 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.
Advise senior stakeholders on analytical findings to support decisions. Manage competing priorities and contribute to longer-term planning. Required Skills

What you’ll bring

All qualifications

Core experience

  • 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.
Qualification wording
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.
Education & alternatives
Education & Experience: 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.Ability to connect data insights to compliance, supervision and control requirements in a Global Markets environment. Who We Are

Tools in this posting

  • Python
  • SQL
  • Power BI
  • Tableau
Source — Tool mentions in context
- 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.
- 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.
Education & Experience: 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.Ability to connect data insights to compliance, supervision and control requirements in a Global Markets environment. Who We Are
Required Skills - 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.
- Preferred Skills Experience in capital markets compliance, trade surveillance, supervisory controls or regulatory reporting.Familiarity with trade lifecycles, 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. -

About TD International

TD Securities is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores.

In the employer’s words · Read in context

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First seen by us
Oct 28, 2026 · today
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Last seen by us
Oct 29, 2026

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Job description

View original posting ↗

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.

Job Description:

Summary:

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.


Responsibilities

  • 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.

 

Required Skills

  • 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.

  • Preferred Skills

    Experience in capital markets compliance, trade surveillance, supervisory controls or regulatory reporting.Familiarity with trade lifecycles, 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.

     

  • Education & Experience:

    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.Ability to connect data insights to compliance, supervision and control requirements in a Global Markets environment.

Who We Are

TD Securities is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary and several other key plans such as health and well-being benefits, including medical coverage, paid time off, career development, and reward and recognition programs.

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.
 
Colleague Development 

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. 

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.  

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.
 

Interview Process 
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation 

If you require an accommodation for the recruitment / interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

Source details

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Location & working pattern

Belfast, United Kingdom

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