Data Scientist

Equiniti provides comprehensive solutions to support organizations throughout their corporate lifecycle, including managing shareholder engagement, maintaining stock registers, facilitating ownership transfers, enabling shareholder meetings, paying dividends, supporting IPOs, and administering employee equity plans. We are dedicated to revolutionizing shareholder services by developing digital solutions that facilitate dematerialization for issuers and shareholders. 

EQ is a fintech that connects the future of capital, communications, and governance, building trust and confidence in every market we serve. Our values set the core foundations to our success. We are TRUSTED to deliver on our commitments, COMMERCIAL in building long term value, COLLABORATIVE in our approach and we IMPROVE by continually enhancing our skills and services. There has never been a better time to join EQ.

Role Summary

The role sits within the Trust & Oversight (T&O) Central Services function, as part of the Systems and Reporting Team. This team provides enterprise-wide data, systems, and reporting capability to support oversight, assurance, across risk, compliance, legal, data protection, information security, financial crime and operational functions. The Data Scientist will play a key role in transforming data into actionable insight that supports decision-making, operational efficiency, and strategic growth. Working closely with business, technology, and governance stakeholders, the role will apply data visualisation techniques to solve complex problems, improve management information (MI), improve business outcomes. The Data Scientist will contribute to the design, development, and enhancement of analytical solutions that underpin T&O reporting and surveillance activity, helping to standardise data, improve insight quality, and enable consistent, scalable oversight across the organisation. This is a hands-on role suited to someone with solid experience in data analysis and reporting, who is comfortable working independently while contributing to wider data and analytics initiatives.

Core Duties/Responsibilities

• Deliver high-quality data analysis and analytical insight to support Trust & Oversight (T&O) decision-making, assurance activity, and performance monitoring.
• Support the standardisation and automation of reporting and analytics to reduce manual effort and increase reliability and insight quality.
• Design, develop, and maintain reporting solutions that enable consistent, scalable oversight across T&O functions, including Risk, Compliance, Legal, Data Protection, and Operational teams.
• Work as part of the T&O Central Services Systems & Reporting Team, contributing to enterprise-wide dashboards and management information (MI) that support surveillance, assurance planning, and executive reporting.
• Translate business and oversight requirements into clear analytical questions, selecting appropriate statistical and data science techniques to address them.
• Document analytical methodologies, assumptions, and limitations to support transparency, reproducibility, and effective second-line oversight.
• Contribute to continuous improvement of T&O systems, reporting frameworks, and analytical capability by sharing best practice and reusable solutions.
• Ensure analytical work complies with data governance, information security, model risk, and data protection requirements, particularly when handling sensitive or regulated data.

Skills, Capabilities and Attributes

Key Responsibilities:

• Reporting and Data Visualisation: Design and deliver high-quality dashboards, reports, and visualisations.
• Business Engagement and Support: Collaborating effectively with internal and external stakeholders across all territories.
• Automation & Analytical Enablement: Support the adoption of advanced analytics, tooling, and emerging technologies (e.g. AI-enabled analytics where appropriate).
• Data Management: Design and maintain repeatable data pipelines to support ongoing analytics and reporting.
• Analytical Translation: Ability to translate complex analytical outputs into clear, actionable insights.
• Management Information: Provide evidence-based recommendations to support assurance, oversight, performance monitoring.

Qualification / skills required:

• Analytical Thinking: Curious and methodical, approaching problems using evidence and data.
• Strong Leadership Qualities: Trusted and collaborative partner across multi-discipline functions in the second line of defence.
• Stakeholder Collaboration: Builds trusted relationships with business stakeholders and acts as a partner, not just an analyst.
• Proactive Approach: Anticipates evolving needs creating solutions to resolve business decisions.
• Continuous Improvement: Astute problem solver; actively seeks opportunities to improve data quality, automation, and analytical capability.
• Efficiency in Managing Priorities: Ability to adapt quickly to change and manage priorities effectively.
• Calm Under Pressure: Ability to work calmly under pressure and deliver to tight deadlines.
• Strong Work Ethic: Ability to self-organise and motivate, as well as manage multiple priorities and work to schedules, delivering high-quality output.