Data Operations -Senior Associate

Our client, a highly regarded Investment firm with circa $80Bil of AUM is looking to add and experienced Data professional to their Data Operations team. The successful candidate be an integral member of this newly established and growing team responsible for all areas of data and data analytics. They will play a significant role in the firm’s efforts to enhance their core data function.

Role & Responsibilities

1. Data Integrity: Act as Data Steward to ensure data is complete and accurately captured. Help maintain data documentation and ensure compliance with data governance policies.
2. Data Collection & Processing: Assist in gathering, cleaning, and organising large datasets from multiple sources.
3. Data Analysis: Learn how to perform basic data analysis and generate actionable insights using various tools and techniques.
4. Reporting & Visualisation: Help create reports and data visualisations to communicate findings to stakeholders, learning how to present data in an easy-to-understand format.
5. Collaboration: Work closely with internal stakeholders to understand business needs and contribute to ongoing projects. Contributing to key strategic project and process enhancements across the business.
6. System Support: Work with internal databases and support on our third-party systems.
7. Be responsible for ensuring all information security processes, policies and procedures are adhered to and any issues or concerns are raised with the Cyber Security team.
8. Ensure full compliance with all local data protection regulations and privacy controls, and any related issues are raised via the appropriate channels.

Background & Experience

1. A bachelor’s degree in a relevant field, such as mathematics, statistics, economics or data science, would be an advantage. Strong numerical skills and the ability to work accurately with data are essential.
2. Previous work experience in data or analytics within financial services.
3. Can demonstrate a high level of attention to detail and be very comfortable working with numbers.
4. Proven problem-solving skills and demonstrating logical thinking patterns.
5. An ability to prioritise daily workload whilst working efficiently and accurately under pressure.
6. Able to multi-task in a fast-paced investment environment.
7. Be an articulate self-starter with strong analytical and organisational skills.
8. Able to communicate effectively with peers and senior members of the wider team.
9. Have a high degree of integrity and professionalism and be a collaborative “team player”.
10. Experience using AI tools to streamline workflows, automate routine tasks and improve operational efficiency.
11. Proficiency using Microsoft Suite.

Please note that due to the high volume of applicants responding to our adverts we are regrettably not able to feedback on all applications; only successful candidates will be contacted.