Data Operations Associate responsible for tracking and managing global finance transactions for Green Street. Ensures data accuracy and performs analysis, reporting, and management duties.
About the role
- Analyst supporting capital markets operations, focusing on trade lifecycle management and process improvement initiatives. Gaining exposure to global financial markets and developing analytical skills in a collaborative environment.
Responsibilities
- Support the end-to-end trade lifecycle across FX, derivatives, commodities and futures, including trade capture and confirmation, settlement coordination and payment facilitation, reconciliations and break investigation, regulatory and internal reporting.
- Assist with counterparty onboarding and trading infrastructure setup, including documentation and coordination with investment banks.
- Support fund finance operations and treasury-related activities.
- Assist with LEI management and client documentation processes.
- Collect and organise client financial statements and support ATE testing processes.
- Contribute to the identification of process inefficiencies and assist in implementing improvements.
- Support automation and workflow enhancement initiatives.
- Use Excel and other tools to analyse operational data and improve reporting accuracy and transparency.
- Work closely with senior team members to understand operational workflows and best practices. Build effective working relationships with clients, banks, brokers and internal stakeholders.
Requirements
- 1–3 years of experience in financial services, capital markets operations, treasury, fund administration, or a related field.
- Exposure to financial instruments such as FX, derivatives, fixed income or commodities is advantageous but not essential.
- Experience in an operational, analytical or process-driven role preferred.
- Bachelor’s degree in Finance, Economics, Mathematics, Accounting, or a related discipline.
- Strong Excel skills (including formulas, data manipulation and reconciliation).
- Analytical mindset with strong attention to detail.
- Interest in automation, data analysis and improving processes.
- Exposure to Python, Alteryx, VBA, Power BI or similar tools is advantageous but not required.
- High level of accuracy and organisational discipline.
- Strong problem-solving ability and willingness to learn.
- Clear and professional communication skills.
- Ability to work effectively under pressure and manage competing priorities.
- Positive, proactive attitude with strong ownership mindset.
Benefits
- Performance bonus linked to agreed success criteria - paid semi annually
- 20 days’ holiday (increasing to 25 with tenure) plus bank holidays
- Private health insurance (including dental, optical and mental health)
- Travel insurance
- Learning & development allowance and support for professional qualifications
- No AI is used to screen, assess or select applicants
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