£450 - £550 pd PAYE - London (Hybrid) - Data Analyst - Financial Services
About emagine:
emagine is a high-end professional services consultancy and solutions firm specialising in providing business and technology services to the financial services sector. We foster a culture of openness, integrity, and collaboration, aiming to deliver optimal services for our clients and create a positive and equitable working environment.
Role Overview:
We are seeking a Data Analyst with Collaborative Data Objects (CDO) experience to join our Data Analysis Team, working on a project with our financial services client. You will leverage your expertise in data analysis, specifically with a focus on counterparty credit risk and market risk. This role involves collaboration with internal teams, contributing to the central data control platform, and making key data-related decisions.
Key Responsibilities:
Combine data analysis expertise with coaching and support for team members.
Act as a trusted authority and specialist, providing advice and guidance to team members and managers.
Collaborate with a team of data analysts to identify and prioritize improvements in data processes and quality.
Take ownership of data-related decisions and balance accuracy, completeness, and functionality.
Work closely with the Risk Management team to understand data requirements and translate them into effective technical solutions.
Technical Skills:
Data analysis, counterparty credit risk, market risk.
Collaborative Data Objects (CDO) experience.
Data process, data lineage, data quality.
Experience with data-related tools and platforms.
Agile delivery environment experience.
Join emagine:
If you are up to the challenge and would like to find out more, get in touch with us immediately. Our internal recruitment team is always keen to hear from dynamic individuals looking to further their career and explore their full potential.
"emagine is an equal opportunity employer, and employment practices are based strictly on merit.
It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion, or ethnic origin."
