Purpose
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Accountabilities
- Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
- Design and implementation of data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
- Development of processing and analysis algorithms fit for the intended data complexity and volumes.
- Collaboration with data scientist to build and deploy machine learning models.
Expectations
- Advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness.
- Collaborate closely with other functions/ business divisions.
- Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
- Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes.
- If the position has leadership responsibilities, demonstrate clear LEAD behaviours: Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others.
- OR for an individual contributor, lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments.
- Identify new directions for assignments and/or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
- Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
- Identify ways to mitigate risk and develop new policies/procedures in support of the control and governance agenda.
- Take ownership for managing risk and strengthening controls in relation to the work done.
- Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practices (in other areas, teams, companies, etc.) to solve problems creatively and effectively.
- Communicate complex information.
- Influence or convince stakeholders to achieve outcomes.
Entitlements Engineer Role
We’re seeking an experience Entitlements Engineer to help enabling secure, scalable, and compliant access to data across analytics, AI, and trading platforms, ensuring the right users and systems have the right data access at the right time.
To be successful in this role you will:
- Be an experienced front‑office data engineer with a proven track record of solving complex, fine‑grained entitlement challenges at scale.
- Understand the deep technical and domain intricacies of entitlements in trading systems and has delivered robust, technology‑agnostic solutions across front‑office platforms.
- Possess strong cross‑asset class expertise and a holistic view of how data, access controls, and entitlements intersect within modern trading ecosystems, with the ambition to tame this problem once and reuse it broadly.
Other skills that would be useful in this role include:
- Financial Services/Investment banking background
- Experience collaborating with a wide range of stakeholders, including business, technology, and senior leaders
You may be assessed on key critical skills relevant for success in role, such as risk and controls, communication skills and interaction with a diverse range of stakeholders, as well as job‑specific technical skills.
