Location: NY, Manhattan Midtown (Onsite)
Experience: 3-5 years
Client Comment: Strong attention to detail and commitment to accuracy in daily control processes.
Summary
Supports the trading desk through accurate and timely execution of market data. This role requires a high level of attention to detail, strong ownership of recurring BAU processes, and the ability to learn, retain, and independently execute detailed procedures with minimal repeated guidance . Works closely with Front Office, Middle Office, Technology, and other stakeholders to maintain trading system and data integrity, investigate discrepancies, and improve controls and processes.
Responsibilities
- Perform daily input and maintenance of market data, including swap rates, spreads, and exchange-traded security prices across multiple currencies.
- Investigate unexpected results and discrepancies rather than relying solely on system outputs or predefined status indicators.
- Develop a thorough understanding of assigned processes, including upstream/downstream dependencies, data sources, manual adjustments, control points, and escalation procedures.
- Maintain clear working procedures/checklists and incorporate new instructions or process changes into daily execution.
- Take ownership of assigned processes and progressively operate them independently after the training period.
- Independently perform control checks to ensure market data and valuation inputs are accurate and complete before sign-off.
Critical requirements
- Strong attention to detail and commitment to accuracy in daily control processes.
- Strong ownership and ability to independently investigate and resolve issues.
- Ability to learn complex processes and work independently in a fast-paced trading environment.
- Comfortable managing recurring BAU responsibilities while maintaining consistent quality and accuracy.
- Strong analytical and problem-solving skills.
Technical / product skills
- Knowledge of derivatives products, including interest rate swaps, options, caps/floors, swaptions, and other structured products.
- Proficiency in Microsoft Excel and experience with data analysis.
- Programming experience in Python, VBA, SQL, or similar languages for automation and analytics.
- Effective communication and collaboration skills with Front Office, Middle Office, Technology, and senior stakeholders.